Abstract

Current diagnosis of prostate cancer relies on histological analysis of tissue samples acquired by biopsy, which could benefit from real-time identification of suspicious lesions. Photoacoustic tomography has the potential to provide real-time targets for prostate biopsy guidance with chemical selectivity, but light delivered from the rectal cavity has been unable to penetrate to the anterior prostate. To overcome this barrier, a urethral device with cylindrical illumination is developed for whole-prostate imaging, and its performance as a function of angular light coupling is evaluated with a prostate-mimicking phantom.

© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

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A.-A. Yassine, L. Lilge, and V. Betz, “Optimizing interstitial photodynamic therapy with custom cylindrical diffusers,” J. Biophotonics 12(1), e201800153 (2019).
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X. Li, D. Wang, H. Ran, L. Hao, Y. Cao, M. Ao, N. Zhang, J. Song, L. Zhang, H. Yi, Z. Wang, and P. Li, “A preliminary study of photoacoustic/ultrasound dual-mode imaging in melanoma using MAGE-targeted gold nanoparticles,” Biochem. Biophys. Res. Commun. 502(2), 255–261 (2018).
[Crossref] [PubMed]

Y. Zhu, L. A. Johnson, Z. Huang, J. M. Rubin, J. Yuan, H. Lei, J. Ni, X. Wang, P. D. R. Higgins, and G. Xu, “Identifying intestinal fibrosis and inflammation by spectroscopic photoacoustic imaging: an animal study in vivo,” Biomed. Opt. Express 9(4), 1590–1600 (2018).
[Crossref] [PubMed]

X. Leng, W. Chapman, B. Rao, S. Nandy, R. Chen, R. Rais, I. Gonzalez, Q. Zhou, D. Chatterjee, M. Mutch, and Q. Zhu, “Feasibility of co-registered ultrasound and acoustic-resolution photoacoustic imaging of human colorectal cancer,” Biomed. Opt. Express 9(11), 5159–5172 (2018).
[Crossref] [PubMed]

R. L. Siegel, K. D. Miller, and A. Jemal, “Cancer statistics, 2018,” CA Cancer J. Clin. 68(1), 7–30 (2018).
[Crossref] [PubMed]

Y.-H. Liu, Y. Xu, L.-D. Liao, K. C. Chan, and N. V. Thakor, “A handheld real-time photoacoustic imaging system for animal neurological disease models: from simulation to realization,” Sensors (Basel) 18(11), 4081 (2018).
[Crossref] [PubMed]

B. L. Bungart, L. Lan, P. Wang, R. Li, M. O. Koch, L. Cheng, T. A. Masterson, M. Dundar, and J. X. Cheng, “Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets,” Photoacoustics 11, 46–55 (2018).
[Crossref] [PubMed]

H. K. Zhang, Y. Chen, J. Kang, A. Lisok, I. Minn, M. G. Pomper, and E. M. Boctor, “Prostate-specific membrane antigen-targeted photoacoustic imaging of prostate cancer in vivo,” J. Biophotonics 11(9), e201800021 (2018).
[Crossref] [PubMed]

Y. Qu, C. Li, J. Shi, R. Chen, S. Xu, H. Rafsanjani, K. Maslov, H. Krigman, L. Garvey, P. Hu, P. Zhao, K. Meyers, E. Diveley, S. Pizzella, L. Muench, N. Punyamurthy, N. Goldstein, O. Onwumere, M. Alisio, K. Meyenburg, J. Maynard, K. Helm, J. Slaughter, S. Barber, T. Burger, C. Kramer, J. Chubiz, M. Anderson, R. McCarthy, S. K. England, G. A. Macones, Q. Zhou, K. K. Shung, J. Zou, M. J. Stout, M. Tuuli, and L. V. Wang, “Transvaginal fast-scanning optical-resolution photoacoustic endoscopy,” J. Biomed. Opt. 23(12), 1–4 (2018).
[Crossref] [PubMed]

S. Nandy, A. Mostafa, I. S. Hagemann, M. A. Powell, E. Amidi, K. Robinson, D. G. Mutch, C. Siegel, and Q. Zhu, “Evaluation of ovarian cancer: initial application of coregistered photoacoustic tomography and US,” Radiology 289(3), 740–747 (2018).
[Crossref] [PubMed]

S. Huang, Y. Qin, Y. Chen, J. Pan, C. Xu, D. Wu, W. Y. Chao, J. T. Wei, S. A. Tomlins, X. Wang, J. B. Fowlkes, P. L. Carson, Q. Cheng, and G. Xu, “Interstitial assessment of aggressive prostate cancer by physio-chemical photoacoustics: An ex vivo study with intact human prostates,” Med. Phys. 45(9), 4125–4132 (2018).
[Crossref] [PubMed]

K. Sivasubramanian, V. Periyasamy, R. A. Dienzo, and M. Pramanik, “Hand-held, clinical dual mode ultrasound - photoacoustic imaging of rat urinary bladder and its applications,” J. Biophotonics 11(5), e201700317 (2018).
[Crossref] [PubMed]

O. Ogunlade, J. J. Connell, J. L. Huang, E. Zhang, M. F. Lythgoe, D. A. Long, and P. Beard, “In vivo three-dimensional photoacoustic imaging of the renal vasculature in preclinical rodent models,” Am. J. Physiol. Renal Physiol. 314(6), F1145–F1153 (2018).
[Crossref] [PubMed]

K. Okumura, J. Matsumoto, Y. Iwata, K. Yoshida, N. Yoneda, T. Ogi, A. Kitao, K. Kozaka, W. Koda, S. Kobayashi, D. Inoue, N. Sakai, K. Furuichi, T. Wada, and T. Gabata, “Evaluation of renal oxygen saturation using photoacoustic imaging for the early prediction of chronic renal function in a model of ischemia-induced acute kidney injury,” PLoS One 13(12), e0206461 (2018).
[Crossref] [PubMed]

2017 (5)

A. Shah, T. Delgado-Goni, T. Casals Galobart, S. Wantuch, Y. Jamin, M. O. Leach, S. P. Robinson, J. Bamber, and M. Beloueche-Babari, “Detecting human melanoma cell re-differentiation following BRAF or heat shock protein 90 inhibition using photoacoustic and magnetic resonance imaging,” Sci. Rep. 7(1), 8215 (2017).
[Crossref] [PubMed]

F. Knieling, C. Neufert, A. Hartmann, J. Claussen, A. Urich, C. Egger, M. Vetter, S. Fischer, L. Pfeifer, A. Hagel, C. Kielisch, R. S. Görtz, D. Wildner, M. Engel, J. Röther, W. Uter, J. Siebler, R. Atreya, W. Rascher, D. Strobel, M. F. Neurath, and M. J. Waldner, “Multispectral optoacoustic tomography for assessment of crohn’s disease activity,” N. Engl. J. Med. 376(13), 1292–1294 (2017).
[Crossref] [PubMed]

H. U. Ahmed, A. El-Shater Bosaily, L. C. Brown, R. Gabe, R. Kaplan, M. K. Parmar, Y. Collaco-Moraes, K. Ward, R. G. Hindley, A. Freeman, A. P. Kirkham, R. Oldroyd, C. Parker, M. Emberton, and PROMIS study group, “Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study,” Lancet 389(10071), 815–822 (2017).
[Crossref] [PubMed]

M. Ai, W. Shu, T. Salcudean, R. Rohling, P. Abolmaesumi, and S. Tang, “Design of high energy laser pulse delivery in a multimode fiber for photoacoustic tomography,” Opt. Express 25(15), 17713–17726 (2017).
[Crossref] [PubMed]

A. Horiguchi, M. Shinchi, A. Nakamura, T. Wada, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “Pilot study of prostate cancer angiogenesis imaging using a photoacoustic imaging system,” Urology 108, 212–219 (2017).
[Crossref] [PubMed]

2016 (12)

S. Tang, J. Chen, P. Samant, K. Stratton, and L. Xiang, “Transurethral photoacoustic endoscopy for prostate cancer: a simulation study,” IEEE Trans. Med. Imaging 35(7), 1780–1787 (2016).
[Crossref] [PubMed]

M. Fonseca, B. Zeqiri, P. C. Beard, and B. T. Cox, “Characterisation of a phantom for multiwavelength quantitative photoacoustic imaging,” Phys. Med. Biol. 61(13), 4950–4973 (2016).
[Crossref] [PubMed]

Y. Wang, D. Xu, S. Yang, and D. Xing, “Toward in vivo biopsy of melanoma based on photoacoustic and ultrasound dual imaging with an integrated detector,” Biomed. Opt. Express 7(2), 279–286 (2016).
[Crossref] [PubMed]

P. J. van den Berg, R. Bansal, K. Daoudi, W. Steenbergen, and J. Prakash, “Preclinical detection of liver fibrosis using dual-modality photoacoustic/ultrasound system,” Biomed. Opt. Express 7(12), 5081–5091 (2016).
[Crossref] [PubMed]

Y. Ueno, T. Tamada, V. Bist, C. Reinhold, H. Miyake, U. Tanaka, K. Kitajima, K. Sugimura, and S. Takahashi, “Multiparametric magnetic resonance imaging: Current role in prostate cancer management,” Int. J. Urol. 23(7), 550–557 (2016).
[Crossref] [PubMed]

J. C. Weinreb, J. O. Barentsz, P. L. Choyke, F. Cornud, M. A. Haider, K. J. Macura, D. Margolis, M. D. Schnall, F. Shtern, C. M. Tempany, H. C. Thoeny, and S. Verma, “PI-RADS prostate imaging - reporting and data system: 2015, version 2,” Eur. Urol. 69(1), 16–40 (2016).
[Crossref] [PubMed]

C. P. Filson, S. Natarajan, D. J. A. Margolis, J. Huang, P. Lieu, F. J. Dorey, R. E. Reiter, and L. S. Marks, “Prostate cancer detection with magnetic resonance-ultrasound fusion biopsy: The role of systematic and targeted biopsies,” Cancer 122(6), 884–892 (2016).
[Crossref] [PubMed]

R. Li, E. Phillips, P. Wang, C. J. Goergen, and J. X. Cheng, “Label-free in vivo imaging of peripheral nerve by multispectral photoacoustic tomography,” J. Biophotonics 9(1-2), 124–128 (2016).
[Crossref] [PubMed]

L. V. Wang and J. Yao, “A practical guide to photoacoustic tomography in the life sciences,” Nat. Methods 13(8), 627–638 (2016).
[Crossref] [PubMed]

Y. Cao, J. Hui, A. Kole, P. Wang, Q. Yu, W. Chen, M. Sturek, and J.-X. Cheng, “High-sensitivity intravascular photoacoustic imaging of lipid-laden plaque with a collinear catheter design,” Sci. Rep. 6(1), 25236 (2016).
[Crossref] [PubMed]

S. Sinha, N. A. Rao, B. K. Chinni, and V. S. Dogra, “Evaluation of frequency domain analysis of a multiwavelength photoacoustic signal for differentiating malignant from benign and normal prostates: ex vivo study with human prostates,” J. Ultrasound Med. 35(10), 2165–2177 (2016).
[Crossref] [PubMed]

A. Horiguchi, K. Tsujita, K. Irisawa, T. Kasamatsu, K. Hirota, M. Kawaguchi, M. Shinchi, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “A pilot study of photoacoustic imaging system for improved real-time visualization of neurovascular bundle during radical prostatectomy,” Prostate 76(3), 307–315 (2016).
[Crossref] [PubMed]

2015 (9)

S. E. Bohndiek, L. S. Sasportas, S. Machtaler, J. V. Jokerst, S. Hori, and S. S. Gambhir, “Photoacoustic tomography detects early vessel regression and normalization during ovarian tumor response to the antiangiogenic therapy trebananib,” J. Nucl. Med. 56(12), 1942–1947 (2015).
[Crossref] [PubMed]

J. Hui, R. Li, P. Wang, E. Phillips, R. Bruning, C.-S. Liao, M. Sturek, C. J. Goergen, and J.-X. Cheng, “Assessing carotid atherosclerosis by fiber-optic multispectral photoacoustic tomography,” Proc. SPIE 9323, 93233S (2015).
[Crossref]

A. Taruttis and V. Ntziachristos, “Advances in real-time multispectral optoacoustic imaging and its applications,” Nat. Photonics 9(4), 219–227 (2015).
[Crossref]

M. Davuluri, A. Toler, A. Wojtowycz, G. Bratslavsky, and S. Vourganti, “Cost of prostate MRI-US fusion– a decision analysis comparing cost effectiveness of systematic transrectal ultrasound guided biopsy and MRI-ultrasound Fusion prostate biopsy in the initial and repeat biopsy setting,” J. Urol. 193(4s), e898–e899 (2015).
[Crossref]

A. Postema, M. Mischi, J. de la Rosette, and H. Wijkstra, “Multiparametric ultrasound in the detection of prostate cancer: a systematic review,” World J. Urol. 33(11), 1651–1659 (2015).
[Crossref] [PubMed]

R. Li, P. Wang, L. Lan, F. P. Lloyd, C. J. Goergen, S. Chen, and J.-X. Cheng, “Assessing breast tumor margin by multispectral photoacoustic tomography,” Biomed. Opt. Express 6(4), 1273–1281 (2015).
[Crossref] [PubMed]

T. H. Nguyen, Y. H. Rhee, J. C. Ahn, and H. W. Kang, “Circumferential irradiation for interstitial coagulation of urethral stricture,” Opt. Express 23(16), 20829–20840 (2015).
[Crossref] [PubMed]

M. A. Lediju Bell, X. Guo, D. Y. Song, and E. M. Boctor, “Transurethral light delivery for prostate photoacoustic imaging,” J. Biomed. Opt. 20(3), 036002 (2015).
[Crossref] [PubMed]

M. Heijblom, D. Piras, M. Brinkhuis, J. C. G. van Hespen, F. M. van den Engh, M. van der Schaaf, J. M. Klaase, T. G. van Leeuwen, W. Steenbergen, and S. Manohar, “Photoacoustic image patterns of breast carcinoma and comparisons with Magnetic Resonance Imaging and vascular stained histopathology,” Sci. Rep. 5(1), 11778 (2015).
[Crossref] [PubMed]

2014 (3)

S. Yue, J. Li, S.-Y. Lee, H. J. Lee, T. Shao, B. Song, L. Cheng, T. A. Masterson, X. Liu, T. L. Ratliff, and J.-X. Cheng, “Cholesteryl ester accumulation induced by PTEN loss and PI3K/AKT activation underlies human prostate cancer aggressiveness,” Cell Metab. 19(3), 393–406 (2014).
[Crossref] [PubMed]

Y. Zhou, W. Xing, K. I. Maslov, L. A. Cornelius, and L. V. Wang, “Handheld photoacoustic microscopy to detect melanoma depth in vivo,” Opt. Lett. 39(16), 4731–4734 (2014).
[Crossref] [PubMed]

S. Zackrisson, S. M. W. Y. van de Ven, and S. S. Gambhir, “Light in and sound out: emerging translational strategies for photoacoustic imaging,” Cancer Res. 74(4), 979–1004 (2014).
[Crossref] [PubMed]

2013 (2)

M. A. Bjurlin, H. B. Carter, P. Schellhammer, M. S. Cookson, L. G. Gomella, D. Troyer, T. M. Wheeler, S. Schlossberg, D. F. Penson, and S. S. Taneja, “Optimization of initial prostate biopsy in clinical practice: sampling, labeling and specimen processing,” J. Urol. 189(6), 2039–2046 (2013).
[Crossref] [PubMed]

A. Kamaya, S. Vaithilingam, B. I. Chung, O. Oralkan, and B. T. Khuri-Yakub, “Photoacoustic imaging of the bladder: a pilot study,” J. Ultrasound Med. 32(7), 1245–1250 (2013).
[Crossref] [PubMed]

2012 (7)

L. Xi, S. R. Grobmyer, L. Wu, R. Chen, G. Zhou, L. G. Gutwein, J. Sun, W. Liao, Q. Zhou, H. Xie, and H. Jiang, “Evaluation of breast tumor margins in vivo with intraoperative photoacoustic imaging,” Opt. Express 20(8), 8726–8731 (2012).
[Crossref] [PubMed]

L. Nie, X. Cai, K. Maslov, A. Garcia-Uribe, M. A. Anastasio, and L. V. Wang, “Photoacoustic tomography through a whole adult human skull with a photon recycler,” J. Biomed. Opt. 17(11), 110506 (2012).
[Crossref] [PubMed]

C. B. Sussman, C. Rossignol, Q. Zhang, H. Jiang, T. Zheng, D. Steindler, L. Young, and M. D. Weiss, “Photoacoustic tomography can detect cerebral hemodynamic alterations in a neonatal rodent model of hypoxia-ischemia,” Acta Neurobiol. Exp. (Warsz.) 72(3), 253–263 (2012).
[PubMed]

T. J. Allen, A. Hall, A. P. Dhillon, J. S. Owen, and P. C. Beard, “Spectroscopic photoacoustic imaging of lipid-rich plaques in the human aorta in the 740 to 1400 nm wavelength range,” J. Biomed. Opt. 17(6), 061209 (2012).
[Crossref] [PubMed]

D. Razansky, N. J. Harlaar, J. L. Hillebrands, A. Taruttis, E. Herzog, C. J. Zeebregts, G. M. van Dam, and V. Ntziachristos, “Multispectral optoacoustic tomography of matrix metalloproteinase activity in vulnerable human carotid plaques,” Mol. Imaging Biol. 14(3), 277–285 (2012).
[Crossref] [PubMed]

I. M. Graf, S. Kim, B. Wang, R. Smalling, and S. Emelianov, “Noninvasive detection of intimal xanthoma using combined ultrasound, strain rate and photoacoustic imaging,” Ultrasonics 52(3), 435–441 (2012).
[Crossref] [PubMed]

G. Russo, M. Mischi, W. Scheepens, J. J. De la Rosette, and H. Wijkstra, “Angiogenesis in prostate cancer: onset, progression and imaging,” BJU Int. 110(11 Pt C11 Pt C), E794–E808 (2012).
[Crossref] [PubMed]

2011 (5)

2010 (2)

X. Wang, W. W. Roberts, P. L. Carson, D. P. Wood, and J. B. Fowlkes, “Photoacoustic tomography: a potential new tool for prostate cancer,” Biomed. Opt. Express 1(4), 1117–1126 (2010).
[Crossref] [PubMed]

R. A. Kruger, R. B. Lam, D. R. Reinecke, S. P. Del Rio, and R. P. Doyle, “Photoacoustic angiography of the breast,” Med. Phys. 37(11), 6096–6100 (2010).
[Crossref] [PubMed]

2009 (1)

K. S. Valluru, B. K. Chinni, N. A. Rao, S. Bhatt, and V. S. Dogra, “Basics and clinical applications of photoacoustic imaging,” Ultrasound Clin. 4(3), 403–429 (2009).
[Crossref]

2008 (1)

M. A. Perazella, “Gadolinium-contrast toxicity in patients with kidney disease: nephrotoxicity and nephrogenic systemic fibrosis,” Curr. Drug Saf. 3(1), 67–75 (2008).
[Crossref] [PubMed]

2007 (1)

2006 (2)

2002 (1)

A. E. Worthington, J. Trachtenberg, and M. D. Sherar, “Ultrasound properties of human prostate tissue during heating,” Ultrasound Med. Biol. 28(10), 1311–1318 (2002).
[Crossref] [PubMed]

1999 (1)

W. H. Nau, R. J. Roselli, and D. F. Milam, “Measurement of thermal effects on the optical properties of prostate tissue at wavelengths of 1,064 and 633 nm,” Lasers Surg. Med. 24(1), 38–47 (1999).
[Crossref] [PubMed]

1996 (2)

D. D. Royston, R. S. Poston, and S. A. Prahl, “Optical properties of scattering and absorbing materials used in the development of optical phantoms at 1064 nm,” J. Biomed. Opt. 1(1), 110–116 (1996).
[Crossref] [PubMed]

J. C. Mizeret and H. E. van den Bergh, “Cylindrical fiberoptic light diffuser for medical applications,” Lasers Surg. Med. 19(2), 159–167 (1996).
[Crossref] [PubMed]

1993 (1)

E. B. Stechel, “Laser-induced damage in step-index multimode fibers,” Proc. SPIE 1848, 15–24 (1993).
[Crossref]

1991 (2)

H. J. van Staveren, C. J. M. Moes, J. van Marie, S. A. Prahl, and M. J. C. van Gemert, “Light scattering in Intralipid-10% in the wavelength range of 400-1100 nm,” Appl. Opt. 30(31), 4507–4514 (1991).
[Crossref] [PubMed]

E. B. Stechel, K. D. Meeks, W. M. Trott, P. E. Klingsporn, and D. M. Berry, “High-power transmission through step-index multimode fibers,” Proc. SPIE 1441, 61–70 (1991).
[Crossref]

Abolmaesumi, P.

Ahmed, H. U.

H. U. Ahmed, A. El-Shater Bosaily, L. C. Brown, R. Gabe, R. Kaplan, M. K. Parmar, Y. Collaco-Moraes, K. Ward, R. G. Hindley, A. Freeman, A. P. Kirkham, R. Oldroyd, C. Parker, M. Emberton, and PROMIS study group, “Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study,” Lancet 389(10071), 815–822 (2017).
[Crossref] [PubMed]

Ahn, J. C.

Ai, M.

Alisio, M.

Y. Qu, C. Li, J. Shi, R. Chen, S. Xu, H. Rafsanjani, K. Maslov, H. Krigman, L. Garvey, P. Hu, P. Zhao, K. Meyers, E. Diveley, S. Pizzella, L. Muench, N. Punyamurthy, N. Goldstein, O. Onwumere, M. Alisio, K. Meyenburg, J. Maynard, K. Helm, J. Slaughter, S. Barber, T. Burger, C. Kramer, J. Chubiz, M. Anderson, R. McCarthy, S. K. England, G. A. Macones, Q. Zhou, K. K. Shung, J. Zou, M. J. Stout, M. Tuuli, and L. V. Wang, “Transvaginal fast-scanning optical-resolution photoacoustic endoscopy,” J. Biomed. Opt. 23(12), 1–4 (2018).
[Crossref] [PubMed]

Allen, T. J.

T. J. Allen, A. Hall, A. P. Dhillon, J. S. Owen, and P. C. Beard, “Spectroscopic photoacoustic imaging of lipid-rich plaques in the human aorta in the 740 to 1400 nm wavelength range,” J. Biomed. Opt. 17(6), 061209 (2012).
[Crossref] [PubMed]

Amidi, E.

S. Nandy, A. Mostafa, I. S. Hagemann, M. A. Powell, E. Amidi, K. Robinson, D. G. Mutch, C. Siegel, and Q. Zhu, “Evaluation of ovarian cancer: initial application of coregistered photoacoustic tomography and US,” Radiology 289(3), 740–747 (2018).
[Crossref] [PubMed]

Anastasio, M. A.

L. Nie, X. Cai, K. Maslov, A. Garcia-Uribe, M. A. Anastasio, and L. V. Wang, “Photoacoustic tomography through a whole adult human skull with a photon recycler,” J. Biomed. Opt. 17(11), 110506 (2012).
[Crossref] [PubMed]

Anderson, M.

Y. Qu, C. Li, J. Shi, R. Chen, S. Xu, H. Rafsanjani, K. Maslov, H. Krigman, L. Garvey, P. Hu, P. Zhao, K. Meyers, E. Diveley, S. Pizzella, L. Muench, N. Punyamurthy, N. Goldstein, O. Onwumere, M. Alisio, K. Meyenburg, J. Maynard, K. Helm, J. Slaughter, S. Barber, T. Burger, C. Kramer, J. Chubiz, M. Anderson, R. McCarthy, S. K. England, G. A. Macones, Q. Zhou, K. K. Shung, J. Zou, M. J. Stout, M. Tuuli, and L. V. Wang, “Transvaginal fast-scanning optical-resolution photoacoustic endoscopy,” J. Biomed. Opt. 23(12), 1–4 (2018).
[Crossref] [PubMed]

Ao, M.

X. Li, D. Wang, H. Ran, L. Hao, Y. Cao, M. Ao, N. Zhang, J. Song, L. Zhang, H. Yi, Z. Wang, and P. Li, “A preliminary study of photoacoustic/ultrasound dual-mode imaging in melanoma using MAGE-targeted gold nanoparticles,” Biochem. Biophys. Res. Commun. 502(2), 255–261 (2018).
[Crossref] [PubMed]

Asano, T.

A. Horiguchi, M. Shinchi, A. Nakamura, T. Wada, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “Pilot study of prostate cancer angiogenesis imaging using a photoacoustic imaging system,” Urology 108, 212–219 (2017).
[Crossref] [PubMed]

A. Horiguchi, K. Tsujita, K. Irisawa, T. Kasamatsu, K. Hirota, M. Kawaguchi, M. Shinchi, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “A pilot study of photoacoustic imaging system for improved real-time visualization of neurovascular bundle during radical prostatectomy,” Prostate 76(3), 307–315 (2016).
[Crossref] [PubMed]

Atreya, R.

F. Knieling, C. Neufert, A. Hartmann, J. Claussen, A. Urich, C. Egger, M. Vetter, S. Fischer, L. Pfeifer, A. Hagel, C. Kielisch, R. S. Görtz, D. Wildner, M. Engel, J. Röther, W. Uter, J. Siebler, R. Atreya, W. Rascher, D. Strobel, M. F. Neurath, and M. J. Waldner, “Multispectral optoacoustic tomography for assessment of crohn’s disease activity,” N. Engl. J. Med. 376(13), 1292–1294 (2017).
[Crossref] [PubMed]

Bamber, J.

A. Shah, T. Delgado-Goni, T. Casals Galobart, S. Wantuch, Y. Jamin, M. O. Leach, S. P. Robinson, J. Bamber, and M. Beloueche-Babari, “Detecting human melanoma cell re-differentiation following BRAF or heat shock protein 90 inhibition using photoacoustic and magnetic resonance imaging,” Sci. Rep. 7(1), 8215 (2017).
[Crossref] [PubMed]

Bansal, R.

Barber, S.

Y. Qu, C. Li, J. Shi, R. Chen, S. Xu, H. Rafsanjani, K. Maslov, H. Krigman, L. Garvey, P. Hu, P. Zhao, K. Meyers, E. Diveley, S. Pizzella, L. Muench, N. Punyamurthy, N. Goldstein, O. Onwumere, M. Alisio, K. Meyenburg, J. Maynard, K. Helm, J. Slaughter, S. Barber, T. Burger, C. Kramer, J. Chubiz, M. Anderson, R. McCarthy, S. K. England, G. A. Macones, Q. Zhou, K. K. Shung, J. Zou, M. J. Stout, M. Tuuli, and L. V. Wang, “Transvaginal fast-scanning optical-resolution photoacoustic endoscopy,” J. Biomed. Opt. 23(12), 1–4 (2018).
[Crossref] [PubMed]

Barentsz, J. O.

J. C. Weinreb, J. O. Barentsz, P. L. Choyke, F. Cornud, M. A. Haider, K. J. Macura, D. Margolis, M. D. Schnall, F. Shtern, C. M. Tempany, H. C. Thoeny, and S. Verma, “PI-RADS prostate imaging - reporting and data system: 2015, version 2,” Eur. Urol. 69(1), 16–40 (2016).
[Crossref] [PubMed]

Beard, P.

O. Ogunlade, J. J. Connell, J. L. Huang, E. Zhang, M. F. Lythgoe, D. A. Long, and P. Beard, “In vivo three-dimensional photoacoustic imaging of the renal vasculature in preclinical rodent models,” Am. J. Physiol. Renal Physiol. 314(6), F1145–F1153 (2018).
[Crossref] [PubMed]

Beard, P. C.

M. Fonseca, B. Zeqiri, P. C. Beard, and B. T. Cox, “Characterisation of a phantom for multiwavelength quantitative photoacoustic imaging,” Phys. Med. Biol. 61(13), 4950–4973 (2016).
[Crossref] [PubMed]

T. J. Allen, A. Hall, A. P. Dhillon, J. S. Owen, and P. C. Beard, “Spectroscopic photoacoustic imaging of lipid-rich plaques in the human aorta in the 740 to 1400 nm wavelength range,” J. Biomed. Opt. 17(6), 061209 (2012).
[Crossref] [PubMed]

Beloueche-Babari, M.

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B. L. Bungart, L. Lan, P. Wang, R. Li, M. O. Koch, L. Cheng, T. A. Masterson, M. Dundar, and J. X. Cheng, “Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets,” Photoacoustics 11, 46–55 (2018).
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I. M. Graf, S. Kim, B. Wang, R. Smalling, and S. Emelianov, “Noninvasive detection of intimal xanthoma using combined ultrasound, strain rate and photoacoustic imaging,” Ultrasonics 52(3), 435–441 (2012).
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Engel, M.

F. Knieling, C. Neufert, A. Hartmann, J. Claussen, A. Urich, C. Egger, M. Vetter, S. Fischer, L. Pfeifer, A. Hagel, C. Kielisch, R. S. Görtz, D. Wildner, M. Engel, J. Röther, W. Uter, J. Siebler, R. Atreya, W. Rascher, D. Strobel, M. F. Neurath, and M. J. Waldner, “Multispectral optoacoustic tomography for assessment of crohn’s disease activity,” N. Engl. J. Med. 376(13), 1292–1294 (2017).
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Y. Qu, C. Li, J. Shi, R. Chen, S. Xu, H. Rafsanjani, K. Maslov, H. Krigman, L. Garvey, P. Hu, P. Zhao, K. Meyers, E. Diveley, S. Pizzella, L. Muench, N. Punyamurthy, N. Goldstein, O. Onwumere, M. Alisio, K. Meyenburg, J. Maynard, K. Helm, J. Slaughter, S. Barber, T. Burger, C. Kramer, J. Chubiz, M. Anderson, R. McCarthy, S. K. England, G. A. Macones, Q. Zhou, K. K. Shung, J. Zou, M. J. Stout, M. Tuuli, and L. V. Wang, “Transvaginal fast-scanning optical-resolution photoacoustic endoscopy,” J. Biomed. Opt. 23(12), 1–4 (2018).
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H. U. Ahmed, A. El-Shater Bosaily, L. C. Brown, R. Gabe, R. Kaplan, M. K. Parmar, Y. Collaco-Moraes, K. Ward, R. G. Hindley, A. Freeman, A. P. Kirkham, R. Oldroyd, C. Parker, M. Emberton, and PROMIS study group, “Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study,” Lancet 389(10071), 815–822 (2017).
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K. Okumura, J. Matsumoto, Y. Iwata, K. Yoshida, N. Yoneda, T. Ogi, A. Kitao, K. Kozaka, W. Koda, S. Kobayashi, D. Inoue, N. Sakai, K. Furuichi, T. Wada, and T. Gabata, “Evaluation of renal oxygen saturation using photoacoustic imaging for the early prediction of chronic renal function in a model of ischemia-induced acute kidney injury,” PLoS One 13(12), e0206461 (2018).
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S. E. Bohndiek, L. S. Sasportas, S. Machtaler, J. V. Jokerst, S. Hori, and S. S. Gambhir, “Photoacoustic tomography detects early vessel regression and normalization during ovarian tumor response to the antiangiogenic therapy trebananib,” J. Nucl. Med. 56(12), 1942–1947 (2015).
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I. M. Graf, S. Kim, B. Wang, R. Smalling, and S. Emelianov, “Noninvasive detection of intimal xanthoma using combined ultrasound, strain rate and photoacoustic imaging,” Ultrasonics 52(3), 435–441 (2012).
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Guo, X.

M. A. Lediju Bell, X. Guo, D. Y. Song, and E. M. Boctor, “Transurethral light delivery for prostate photoacoustic imaging,” J. Biomed. Opt. 20(3), 036002 (2015).
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F. Knieling, C. Neufert, A. Hartmann, J. Claussen, A. Urich, C. Egger, M. Vetter, S. Fischer, L. Pfeifer, A. Hagel, C. Kielisch, R. S. Görtz, D. Wildner, M. Engel, J. Röther, W. Uter, J. Siebler, R. Atreya, W. Rascher, D. Strobel, M. F. Neurath, and M. J. Waldner, “Multispectral optoacoustic tomography for assessment of crohn’s disease activity,” N. Engl. J. Med. 376(13), 1292–1294 (2017).
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Y. Qu, C. Li, J. Shi, R. Chen, S. Xu, H. Rafsanjani, K. Maslov, H. Krigman, L. Garvey, P. Hu, P. Zhao, K. Meyers, E. Diveley, S. Pizzella, L. Muench, N. Punyamurthy, N. Goldstein, O. Onwumere, M. Alisio, K. Meyenburg, J. Maynard, K. Helm, J. Slaughter, S. Barber, T. Burger, C. Kramer, J. Chubiz, M. Anderson, R. McCarthy, S. K. England, G. A. Macones, Q. Zhou, K. K. Shung, J. Zou, M. J. Stout, M. Tuuli, and L. V. Wang, “Transvaginal fast-scanning optical-resolution photoacoustic endoscopy,” J. Biomed. Opt. 23(12), 1–4 (2018).
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D. Razansky, N. J. Harlaar, J. L. Hillebrands, A. Taruttis, E. Herzog, C. J. Zeebregts, G. M. van Dam, and V. Ntziachristos, “Multispectral optoacoustic tomography of matrix metalloproteinase activity in vulnerable human carotid plaques,” Mol. Imaging Biol. 14(3), 277–285 (2012).
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Higgins, P. D. R.

Hillebrands, J. L.

D. Razansky, N. J. Harlaar, J. L. Hillebrands, A. Taruttis, E. Herzog, C. J. Zeebregts, G. M. van Dam, and V. Ntziachristos, “Multispectral optoacoustic tomography of matrix metalloproteinase activity in vulnerable human carotid plaques,” Mol. Imaging Biol. 14(3), 277–285 (2012).
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Hindley, R. G.

H. U. Ahmed, A. El-Shater Bosaily, L. C. Brown, R. Gabe, R. Kaplan, M. K. Parmar, Y. Collaco-Moraes, K. Ward, R. G. Hindley, A. Freeman, A. P. Kirkham, R. Oldroyd, C. Parker, M. Emberton, and PROMIS study group, “Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study,” Lancet 389(10071), 815–822 (2017).
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K. Irisawa, T. Hirasawa, K. Hirota, K. Tsujita, and M. Ishihara, “Influence of laser pulse width to the photoacoustic temporal waveform and the image resolution with a solid-state excitation laser,” in Proc. of SPIE, Photons Plus Ultrasound: Imaging and Sensing (2012), Vol. 8223W, p. 82232W.
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K. Irisawa, T. Hirasawa, K. Hirota, K. Tsujita, and M. Ishihara, “Influence of laser pulse width to the photoacoustic temporal waveform and the image resolution with a solid-state excitation laser,” in Proc. of SPIE, Photons Plus Ultrasound: Imaging and Sensing (2012), Vol. 8223W, p. 82232W.
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S. E. Bohndiek, L. S. Sasportas, S. Machtaler, J. V. Jokerst, S. Hori, and S. S. Gambhir, “Photoacoustic tomography detects early vessel regression and normalization during ovarian tumor response to the antiangiogenic therapy trebananib,” J. Nucl. Med. 56(12), 1942–1947 (2015).
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A. Horiguchi, M. Shinchi, A. Nakamura, T. Wada, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “Pilot study of prostate cancer angiogenesis imaging using a photoacoustic imaging system,” Urology 108, 212–219 (2017).
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A. Horiguchi, K. Tsujita, K. Irisawa, T. Kasamatsu, K. Hirota, M. Kawaguchi, M. Shinchi, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “A pilot study of photoacoustic imaging system for improved real-time visualization of neurovascular bundle during radical prostatectomy,” Prostate 76(3), 307–315 (2016).
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Y. Qu, C. Li, J. Shi, R. Chen, S. Xu, H. Rafsanjani, K. Maslov, H. Krigman, L. Garvey, P. Hu, P. Zhao, K. Meyers, E. Diveley, S. Pizzella, L. Muench, N. Punyamurthy, N. Goldstein, O. Onwumere, M. Alisio, K. Meyenburg, J. Maynard, K. Helm, J. Slaughter, S. Barber, T. Burger, C. Kramer, J. Chubiz, M. Anderson, R. McCarthy, S. K. England, G. A. Macones, Q. Zhou, K. K. Shung, J. Zou, M. J. Stout, M. Tuuli, and L. V. Wang, “Transvaginal fast-scanning optical-resolution photoacoustic endoscopy,” J. Biomed. Opt. 23(12), 1–4 (2018).
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Huang, J.

C. P. Filson, S. Natarajan, D. J. A. Margolis, J. Huang, P. Lieu, F. J. Dorey, R. E. Reiter, and L. S. Marks, “Prostate cancer detection with magnetic resonance-ultrasound fusion biopsy: The role of systematic and targeted biopsies,” Cancer 122(6), 884–892 (2016).
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O. Ogunlade, J. J. Connell, J. L. Huang, E. Zhang, M. F. Lythgoe, D. A. Long, and P. Beard, “In vivo three-dimensional photoacoustic imaging of the renal vasculature in preclinical rodent models,” Am. J. Physiol. Renal Physiol. 314(6), F1145–F1153 (2018).
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S. Huang, Y. Qin, Y. Chen, J. Pan, C. Xu, D. Wu, W. Y. Chao, J. T. Wei, S. A. Tomlins, X. Wang, J. B. Fowlkes, P. L. Carson, Q. Cheng, and G. Xu, “Interstitial assessment of aggressive prostate cancer by physio-chemical photoacoustics: An ex vivo study with intact human prostates,” Med. Phys. 45(9), 4125–4132 (2018).
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Huang, Z.

Hui, J.

Y. Cao, J. Hui, A. Kole, P. Wang, Q. Yu, W. Chen, M. Sturek, and J.-X. Cheng, “High-sensitivity intravascular photoacoustic imaging of lipid-laden plaque with a collinear catheter design,” Sci. Rep. 6(1), 25236 (2016).
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J. Hui, R. Li, P. Wang, E. Phillips, R. Bruning, C.-S. Liao, M. Sturek, C. J. Goergen, and J.-X. Cheng, “Assessing carotid atherosclerosis by fiber-optic multispectral photoacoustic tomography,” Proc. SPIE 9323, 93233S (2015).
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Inoue, D.

K. Okumura, J. Matsumoto, Y. Iwata, K. Yoshida, N. Yoneda, T. Ogi, A. Kitao, K. Kozaka, W. Koda, S. Kobayashi, D. Inoue, N. Sakai, K. Furuichi, T. Wada, and T. Gabata, “Evaluation of renal oxygen saturation using photoacoustic imaging for the early prediction of chronic renal function in a model of ischemia-induced acute kidney injury,” PLoS One 13(12), e0206461 (2018).
[Crossref] [PubMed]

Irisawa, K.

A. Horiguchi, K. Tsujita, K. Irisawa, T. Kasamatsu, K. Hirota, M. Kawaguchi, M. Shinchi, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “A pilot study of photoacoustic imaging system for improved real-time visualization of neurovascular bundle during radical prostatectomy,” Prostate 76(3), 307–315 (2016).
[Crossref] [PubMed]

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[Crossref]

Ishihara, M.

A. Horiguchi, M. Shinchi, A. Nakamura, T. Wada, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “Pilot study of prostate cancer angiogenesis imaging using a photoacoustic imaging system,” Urology 108, 212–219 (2017).
[Crossref] [PubMed]

A. Horiguchi, K. Tsujita, K. Irisawa, T. Kasamatsu, K. Hirota, M. Kawaguchi, M. Shinchi, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “A pilot study of photoacoustic imaging system for improved real-time visualization of neurovascular bundle during radical prostatectomy,” Prostate 76(3), 307–315 (2016).
[Crossref] [PubMed]

K. Irisawa, T. Hirasawa, K. Hirota, K. Tsujita, and M. Ishihara, “Influence of laser pulse width to the photoacoustic temporal waveform and the image resolution with a solid-state excitation laser,” in Proc. of SPIE, Photons Plus Ultrasound: Imaging and Sensing (2012), Vol. 8223W, p. 82232W.
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A. Horiguchi, M. Shinchi, A. Nakamura, T. Wada, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “Pilot study of prostate cancer angiogenesis imaging using a photoacoustic imaging system,” Urology 108, 212–219 (2017).
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A. Horiguchi, K. Tsujita, K. Irisawa, T. Kasamatsu, K. Hirota, M. Kawaguchi, M. Shinchi, K. Ito, T. Asano, H. Shinmoto, H. Tsuda, and M. Ishihara, “A pilot study of photoacoustic imaging system for improved real-time visualization of neurovascular bundle during radical prostatectomy,” Prostate 76(3), 307–315 (2016).
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K. Okumura, J. Matsumoto, Y. Iwata, K. Yoshida, N. Yoneda, T. Ogi, A. Kitao, K. Kozaka, W. Koda, S. Kobayashi, D. Inoue, N. Sakai, K. Furuichi, T. Wada, and T. Gabata, “Evaluation of renal oxygen saturation using photoacoustic imaging for the early prediction of chronic renal function in a model of ischemia-induced acute kidney injury,” PLoS One 13(12), e0206461 (2018).
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A. Shah, T. Delgado-Goni, T. Casals Galobart, S. Wantuch, Y. Jamin, M. O. Leach, S. P. Robinson, J. Bamber, and M. Beloueche-Babari, “Detecting human melanoma cell re-differentiation following BRAF or heat shock protein 90 inhibition using photoacoustic and magnetic resonance imaging,” Sci. Rep. 7(1), 8215 (2017).
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Jokerst, J. V.

S. E. Bohndiek, L. S. Sasportas, S. Machtaler, J. V. Jokerst, S. Hori, and S. S. Gambhir, “Photoacoustic tomography detects early vessel regression and normalization during ovarian tumor response to the antiangiogenic therapy trebananib,” J. Nucl. Med. 56(12), 1942–1947 (2015).
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Li, M.

M. Li, B. Lan, W. Liu, J. Xia, and J. Yao, “Internal-illumination photoacoustic computed tomography,” J. Biomed. Opt. 23(3), 1–4 (2018).
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Liao, C.-S.

J. Hui, R. Li, P. Wang, E. Phillips, R. Bruning, C.-S. Liao, M. Sturek, C. J. Goergen, and J.-X. Cheng, “Assessing carotid atherosclerosis by fiber-optic multispectral photoacoustic tomography,” Proc. SPIE 9323, 93233S (2015).
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Long, D. A.

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Masterson, T. A.

B. L. Bungart, L. Lan, P. Wang, R. Li, M. O. Koch, L. Cheng, T. A. Masterson, M. Dundar, and J. X. Cheng, “Photoacoustic tomography of intact human prostates and vascular texture analysis identify prostate cancer biopsy targets,” Photoacoustics 11, 46–55 (2018).
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C. B. Sussman, C. Rossignol, Q. Zhang, H. Jiang, T. Zheng, D. Steindler, L. Young, and M. D. Weiss, “Photoacoustic tomography can detect cerebral hemodynamic alterations in a neonatal rodent model of hypoxia-ischemia,” Acta Neurobiol. Exp. (Warsz.) 72(3), 253–263 (2012).
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Y. Cao, J. Hui, A. Kole, P. Wang, Q. Yu, W. Chen, M. Sturek, and J.-X. Cheng, “High-sensitivity intravascular photoacoustic imaging of lipid-laden plaque with a collinear catheter design,” Sci. Rep. 6(1), 25236 (2016).
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Yuan, J.

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S. Zackrisson, S. M. W. Y. van de Ven, and S. S. Gambhir, “Light in and sound out: emerging translational strategies for photoacoustic imaging,” Cancer Res. 74(4), 979–1004 (2014).
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Zeqiri, B.

M. Fonseca, B. Zeqiri, P. C. Beard, and B. T. Cox, “Characterisation of a phantom for multiwavelength quantitative photoacoustic imaging,” Phys. Med. Biol. 61(13), 4950–4973 (2016).
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H. K. Zhang, Y. Chen, J. Kang, A. Lisok, I. Minn, M. G. Pomper, and E. M. Boctor, “Prostate-specific membrane antigen-targeted photoacoustic imaging of prostate cancer in vivo,” J. Biophotonics 11(9), e201800021 (2018).
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C. B. Sussman, C. Rossignol, Q. Zhang, H. Jiang, T. Zheng, D. Steindler, L. Young, and M. D. Weiss, “Photoacoustic tomography can detect cerebral hemodynamic alterations in a neonatal rodent model of hypoxia-ischemia,” Acta Neurobiol. Exp. (Warsz.) 72(3), 253–263 (2012).
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Acta Neurobiol. Exp. (Warsz.) (1)

C. B. Sussman, C. Rossignol, Q. Zhang, H. Jiang, T. Zheng, D. Steindler, L. Young, and M. D. Weiss, “Photoacoustic tomography can detect cerebral hemodynamic alterations in a neonatal rodent model of hypoxia-ischemia,” Acta Neurobiol. Exp. (Warsz.) 72(3), 253–263 (2012).
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Am. J. Physiol. Renal Physiol. (1)

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Appl. Opt. (1)

Biochem. Biophys. Res. Commun. (1)

X. Li, D. Wang, H. Ran, L. Hao, Y. Cao, M. Ao, N. Zhang, J. Song, L. Zhang, H. Yi, Z. Wang, and P. Li, “A preliminary study of photoacoustic/ultrasound dual-mode imaging in melanoma using MAGE-targeted gold nanoparticles,” Biochem. Biophys. Res. Commun. 502(2), 255–261 (2018).
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R. Li, P. Wang, L. Lan, F. P. Lloyd, C. J. Goergen, S. Chen, and J.-X. Cheng, “Assessing breast tumor margin by multispectral photoacoustic tomography,” Biomed. Opt. Express 6(4), 1273–1281 (2015).
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Y. Wang, D. Xu, S. Yang, and D. Xing, “Toward in vivo biopsy of melanoma based on photoacoustic and ultrasound dual imaging with an integrated detector,” Biomed. Opt. Express 7(2), 279–286 (2016).
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P. J. van den Berg, R. Bansal, K. Daoudi, W. Steenbergen, and J. Prakash, “Preclinical detection of liver fibrosis using dual-modality photoacoustic/ultrasound system,” Biomed. Opt. Express 7(12), 5081–5091 (2016).
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Y. Zhu, L. A. Johnson, Z. Huang, J. M. Rubin, J. Yuan, H. Lei, J. Ni, X. Wang, P. D. R. Higgins, and G. Xu, “Identifying intestinal fibrosis and inflammation by spectroscopic photoacoustic imaging: an animal study in vivo,” Biomed. Opt. Express 9(4), 1590–1600 (2018).
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X. Leng, W. Chapman, B. Rao, S. Nandy, R. Chen, R. Rais, I. Gonzalez, Q. Zhou, D. Chatterjee, M. Mutch, and Q. Zhu, “Feasibility of co-registered ultrasound and acoustic-resolution photoacoustic imaging of human colorectal cancer,” Biomed. Opt. Express 9(11), 5159–5172 (2018).
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S. Zackrisson, S. M. W. Y. van de Ven, and S. S. Gambhir, “Light in and sound out: emerging translational strategies for photoacoustic imaging,” Cancer Res. 74(4), 979–1004 (2014).
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Cell Metab. (1)

S. Yue, J. Li, S.-Y. Lee, H. J. Lee, T. Shao, B. Song, L. Cheng, T. A. Masterson, X. Liu, T. L. Ratliff, and J.-X. Cheng, “Cholesteryl ester accumulation induced by PTEN loss and PI3K/AKT activation underlies human prostate cancer aggressiveness,” Cell Metab. 19(3), 393–406 (2014).
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J. Biophotonics (4)

K. Sivasubramanian, V. Periyasamy, R. A. Dienzo, and M. Pramanik, “Hand-held, clinical dual mode ultrasound - photoacoustic imaging of rat urinary bladder and its applications,” J. Biophotonics 11(5), e201700317 (2018).
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H. K. Zhang, Y. Chen, J. Kang, A. Lisok, I. Minn, M. G. Pomper, and E. M. Boctor, “Prostate-specific membrane antigen-targeted photoacoustic imaging of prostate cancer in vivo,” J. Biophotonics 11(9), e201800021 (2018).
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R. Li, E. Phillips, P. Wang, C. J. Goergen, and J. X. Cheng, “Label-free in vivo imaging of peripheral nerve by multispectral photoacoustic tomography,” J. Biophotonics 9(1-2), 124–128 (2016).
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S. E. Bohndiek, L. S. Sasportas, S. Machtaler, J. V. Jokerst, S. Hori, and S. S. Gambhir, “Photoacoustic tomography detects early vessel regression and normalization during ovarian tumor response to the antiangiogenic therapy trebananib,” J. Nucl. Med. 56(12), 1942–1947 (2015).
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S. Sinha, N. A. Rao, B. K. Chinni, and V. S. Dogra, “Evaluation of frequency domain analysis of a multiwavelength photoacoustic signal for differentiating malignant from benign and normal prostates: ex vivo study with human prostates,” J. Ultrasound Med. 35(10), 2165–2177 (2016).
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A. Kamaya, S. Vaithilingam, B. I. Chung, O. Oralkan, and B. T. Khuri-Yakub, “Photoacoustic imaging of the bladder: a pilot study,” J. Ultrasound Med. 32(7), 1245–1250 (2013).
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M. Davuluri, A. Toler, A. Wojtowycz, G. Bratslavsky, and S. Vourganti, “Cost of prostate MRI-US fusion– a decision analysis comparing cost effectiveness of systematic transrectal ultrasound guided biopsy and MRI-ultrasound Fusion prostate biopsy in the initial and repeat biopsy setting,” J. Urol. 193(4s), e898–e899 (2015).
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H. U. Ahmed, A. El-Shater Bosaily, L. C. Brown, R. Gabe, R. Kaplan, M. K. Parmar, Y. Collaco-Moraes, K. Ward, R. G. Hindley, A. Freeman, A. P. Kirkham, R. Oldroyd, C. Parker, M. Emberton, and PROMIS study group, “Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study,” Lancet 389(10071), 815–822 (2017).
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D. Razansky, N. J. Harlaar, J. L. Hillebrands, A. Taruttis, E. Herzog, C. J. Zeebregts, G. M. van Dam, and V. Ntziachristos, “Multispectral optoacoustic tomography of matrix metalloproteinase activity in vulnerable human carotid plaques,” Mol. Imaging Biol. 14(3), 277–285 (2012).
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M. Fonseca, B. Zeqiri, P. C. Beard, and B. T. Cox, “Characterisation of a phantom for multiwavelength quantitative photoacoustic imaging,” Phys. Med. Biol. 61(13), 4950–4973 (2016).
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Figures (7)

Fig. 1
Fig. 1 PA and US tomography with angularly-coupled transurethral light delivery setup. (a) Transurethral light delivery with transrectal US imaging and PA signal collection is depicted. (b) A schematic is shown of the PA and US tomography setup used for this study. DE: diffuser end; ACL: angularly-coupled light; MMF: multimode fiber; UST: ultrasound transducer; DAQ Trig: data acquisition system trigger; M: Nd:YAG laser line 45° mirror; HWP: half wave plate; PBS: polarized beam splitter; GBR: Galilean beam reducer; 3-DS on RS: 3-dimensional stage on rotational stage; DE + P: diffuser end + phantom.
Fig. 2
Fig. 2 Fabrication of fiber with sandpaper-abraded diffuser end. (a) The jacket and cladding are removed from the end of a 2 mm core multimode fiber. (b) The fiber core’s surface underwent abrasion with sandpaper. A blue sine wave is drawn on the paper behind part of the abraded and unabraded fiber. (c) Light diffusion is shown at the end of a 1.5 mm core multimode fiber with abrasion from sandpaper located left of the white dashed line. The surface of the sandpaper-abraded fiber core (orange box) is shown under 10X magnification.
Fig. 3
Fig. 3 Coupling angle affects side emission conversion efficiency of the diffuser-ended fiber. (a) Fiber coupling efficiency at increasing coupling angles when removing and reinstalling fiber to holder. (b) Fiber coupling efficiency shown from 0° coupling angle to past the numerical aperture of the MMF. (c) The percent of energy fired cylindrically from the fiber’s diffuser end while increasing the coupling angle of the light.
Fig. 4
Fig. 4 Diffuser’s longitudinal emission profile is controlled by coupling angle. (a) Photograph of sensor with horizontal slit mounted on a rotational stage for radial emission profile data collection. (b) Radial emission profiles with 0°, 10°, and 20° coupling angles were normalized by the maximum energy (EMax) and plotted. (c) Photograph of sensor with vertical slit mounted on a linear stages for longitudinal emission profile data collection. (d) Longitudinal emission profiles with angular coupling from 0° to 20° were normalized by the maximum energy (EMax). CA: coupling angle.
Fig. 5
Fig. 5 Longitudinal emission profiles can be used to determine maximum coupling energy based on the tissue damage threshold. (a) Longitudinal emission profiles for 10° and 20° with and without energy attenuation by ND filters are plotted. The profiles are normalized by the maximum energy (EMax). Figure legend also applies to b. (b) The longitudinal emission profiles were also normalized by the profile without a ND filter (E0). (c) AUC values for longitudinal emission profiles are illustrated over increasing coupling angle. (d) Based on the AUC and the side conversion efficiency at increasing coupling angles, the maximum coupling energy is shown based on 100 mJ/cm2/pulse maximum fluence rate. CA: coupling angle; ND: neutral density filter; NE02A: 0.2 ND filter; NE05A: 0.5 ND filter. AUC: area under the curve.
Fig. 6
Fig. 6 Controlling the concentration of tissue-mimicking phantom components enables direct, independent tuning of absorption and scattering for single wavelength PAT device testing. (a) Black India ink and (b) Intralipid-20% fat emulsion dilutions are shown that were used to determine μa and μs respectively. The background for the ink dilutions is white, while the fat emulsion dilutions’ background is white with curved black lines. (c) The calculated μa from the black India ink’s corrected transmission data is plotted over concentration with a linear-fitted curve. (d) Similarly, a linear curve was fitted of Intralipid-20% fat emulsion’s μs over concentration. For comparison the linear fit of Intralipid-10% fat emulsion’s μs over concentration from Royston, Poston, and Prahl is plotted. (e) Top-down view of the phantom mold with capillary tube and pencil lead targets epoxied into place. (f) Front view of phantom mold with prostate tissue-mimicking mixture added. BII: black India ink; LF: linear fit curve; IL-20%: Intralipid-20%; IL-10%: Intralipid-10%; CT: capillary tube; PL: pencil lead; PPM: prostate phantom mixture.
Fig. 7
Fig. 7 PA and US signal generated over the prostate tissue-mimicking phantom without moving the illumination source. (a) Schematic shown of experiment. (b) PA and US pSNR from pencil lead targets embedded in prostate tissue-mimicking phantom is graphed over the position along the fiber diffuser from the proximal to distal end. (c-f) Snapshots of 3-dimensional composites comprised of both the US channel (gray) and PAT channel (red) are displayed with 1 cm axis scale bars (white). Snapshots in c and d subpanels have a top-down view, while e and f subpanels’ view is of signal from the distal to proximal end of the diffuser. The dynamic range is consistent between all subpanels. The US channel of the composites is in arbitrary units converted to log scale with a range from 10.02 to 14.70, and the PAT channel of the composites is in arbitrary units in the linear scale with a range from 5,397 to 76,920. CM: coupling medium; UST: ultrasound transducer; MMF: multimode fiber; PPM: prostate phantom mixture; PL: pencil lead; CT: capillary tube; CA: coupling angle.

Equations (1)

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μt'= 1 z ln[ l ]