Abstract

We demonstrate a technique to improve structural data obtained from Optical Projection Tomography (OPT) using Image Fusion (IF) and contrast normalization. This enables the visualization of molecular expression patterns in biological specimens with highly variable contrast values. In the approach, termed IF-OPT, different exposures are fused by assigning weighted contrasts to each. When applied to projection images from mouse organs and digital phantoms our results demonstrate the capability of IF-OPT to reveal high and low signal intensity details in challenging specimens. We further provide measurements to highlight the benefits of the new algorithm in comparison to other similar methods.

© 2013 OSA

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2013 (1)

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

2012 (2)

A. Cheddad, C. Svensson, J. Sharpe, F. Georgsson, and U. Ahlgren, “Image processing assisted algorithms for optical projection tomography,” IEEE Trans. Med. Imaging31(1), 1–15 (2012).
[CrossRef] [PubMed]

P. Fei, Z. Yu, X. Wang, P. J. Lu, Y. Fu, Z. He, J. Xiong, and Y. Huang, “High dynamic range optical projection tomography (HDR-OPT),” Opt. Express20(8), 8824–8836 (2012).
[CrossRef] [PubMed]

2011 (1)

A. Hörnblad, A. Cheddad, and U. Ahlgren, “An improved protocol for optical projection tomography imaging reveals lobular heterogeneities in pancreatic islet and β-cell mass distribution,” Islets3(4), 204–208 (2011).
[CrossRef] [PubMed]

2010 (2)

Y. Yang, D. S. Park, S. Huang, and N. Rao, “Medical image fusion via an effective wavelet-based approach,” EURASIP J. Adv. Signal Process.2010, 1–14 (2010).
[CrossRef]

S. Daneshvar and H. Ghassemian, “MRI and PET image fusion by combining IHS and retina-inspired models,” Inf. Fusion11(2), 114–123 (2010).
[CrossRef]

2009 (3)

D. Looney and D. P. Mandic, “Multi-scale image fusion using complex extensions of EMD,” IEEE Trans. Signal Process.57(4), 1626–1630 (2009).
[CrossRef]

T. Mertens, J. Kautz, and F. Van Reeth, “Exposure fusion: a simple and practical alternative to high dynamic range photograph,” Comput. Graph. Forum28(1), 161–171 (2009).
[CrossRef]

C.-J. Du and D.-W. Sun, “Retrospective shading correction of confocal laser canning microscopy beef images for three-dimensional visualization,” Food Bioprocess Tech2(2), 167–176 (2009).
[CrossRef]

2008 (2)

Z. B. Wang and Y. Ma, “Medical image fusion using m-PCNN,” Inf. Fusion9(2), 176–185 (2008).
[CrossRef]

Q. Xiao-Bo, Y. Jing-Wen, X. Hong-Zhi, and Z. Zi-Qian, “Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain,” Acta Automatica Sinica34, 1508–1514 (2008).

2007 (4)

N. Mitianoudis and T. Stathaki, “Pixel-based and region-based image fusion schemes using ICA bases,” Inf. Fusion8(2), 131–142 (2007).
[CrossRef]

J. J. Lewis, R. J. O'Callaghan, S. G. Nikolov, D. R. Bull, and C. N. Canagarajah, “Pixel- and region-based image fusion with complex wavelets,” Inf. Fusion8(2), 119–130 (2007).
[CrossRef]

A. O. Akyuz and E. Reinhard, “Noise reduction in high dynamic range imaging,” J Vis Commun Image R18(5), 366–376 (2007).
[CrossRef]

T. Alanentalo, A. Asayesh, H. Morrison, C. E. Lorén, D. Holmberg, J. Sharpe, and U. Ahlgren, “Tomographic molecular imaging and 3D quantification within adult mouse organs,” Nat. Methods4(1), 31–33 (2007).
[CrossRef] [PubMed]

2005 (2)

J. R. Walls, J. G. Sled, J. Sharpe, and R. M. Henkelman, “Correction of artefacts in optical projection tomography,” Phys. Med. Biol.50(19), 4645–4665 (2005).
[CrossRef] [PubMed]

A. A. Goshtasby, “Fusion of multi-exposure images,” Image Vis. Comput.23(6), 611–618 (2005).
[CrossRef]

2002 (2)

J. Sharpe, U. Ahlgren, P. Perry, B. Hill, A. Ross, J. Hecksher-Sørensen, R. Baldock, and D. Davidson, “Optical projection tomography as a tool for 3D microscopy and gene expression studies,” Science296(5567), 541–545 (2002).
[CrossRef] [PubMed]

G. Simone, A. Farina, F. C. Morabito, S. B. Serpico, and L. Bruzzone, “Image fusion techniques for remote sensing applications,” Inf. Fusion3(1), 3–15 (2002).
[CrossRef]

1999 (1)

Z. Zhang and R. S. Blum, “A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application,” Proc. IEEE87(8), 1315–1326 (1999).
[CrossRef]

1998 (1)

E. D. Pisano, S. Zong, B. M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M. P. Braeuning, and S. M. Pizer, “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms,” J. Digit. Imaging11(4), 193–200 (1998).
[CrossRef] [PubMed]

1994 (2)

G. K. Matsopoulos, S. Marshall, and J. N. H. Brunt, “Multiresolution morphological fusion of MR and CT images of the human brain,” IEEE Proc.Vis Image Sign141(3), 137–142 (1994).

K. Stark, S. Vainio, G. Vassileva, and A. P. McMahon, “Epithelial transformation of metanephric mesenchyme in the developing kidney regulated by Wnt-4,” Nature372(6507), 679–683 (1994).
[CrossRef] [PubMed]

1990 (1)

A. Toet, “Hierarchical image fusion,” Mach. Vis. Appl.3(1), 1–11 (1990).
[CrossRef]

1987 (1)

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

1984 (1)

S. M. Pizer, J. B. Zimmerman, and E. V. Staab, “Adaptive grey level assignment in CT scan display,” J. Comput. Assist. Tomogr.8(2), 300–305 (1984).
[PubMed]

Ahlgren, U.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

A. Cheddad, C. Svensson, J. Sharpe, F. Georgsson, and U. Ahlgren, “Image processing assisted algorithms for optical projection tomography,” IEEE Trans. Med. Imaging31(1), 1–15 (2012).
[CrossRef] [PubMed]

A. Hörnblad, A. Cheddad, and U. Ahlgren, “An improved protocol for optical projection tomography imaging reveals lobular heterogeneities in pancreatic islet and β-cell mass distribution,” Islets3(4), 204–208 (2011).
[CrossRef] [PubMed]

T. Alanentalo, A. Asayesh, H. Morrison, C. E. Lorén, D. Holmberg, J. Sharpe, and U. Ahlgren, “Tomographic molecular imaging and 3D quantification within adult mouse organs,” Nat. Methods4(1), 31–33 (2007).
[CrossRef] [PubMed]

J. Sharpe, U. Ahlgren, P. Perry, B. Hill, A. Ross, J. Hecksher-Sørensen, R. Baldock, and D. Davidson, “Optical projection tomography as a tool for 3D microscopy and gene expression studies,” Science296(5567), 541–545 (2002).
[CrossRef] [PubMed]

Akyuz, A. O.

A. O. Akyuz and E. Reinhard, “Noise reduction in high dynamic range imaging,” J Vis Commun Image R18(5), 366–376 (2007).
[CrossRef]

Alanentalo, T.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

T. Alanentalo, A. Asayesh, H. Morrison, C. E. Lorén, D. Holmberg, J. Sharpe, and U. Ahlgren, “Tomographic molecular imaging and 3D quantification within adult mouse organs,” Nat. Methods4(1), 31–33 (2007).
[CrossRef] [PubMed]

Amburn, E. P.

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

Asayesh, A.

T. Alanentalo, A. Asayesh, H. Morrison, C. E. Lorén, D. Holmberg, J. Sharpe, and U. Ahlgren, “Tomographic molecular imaging and 3D quantification within adult mouse organs,” Nat. Methods4(1), 31–33 (2007).
[CrossRef] [PubMed]

Austin, J. D.

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

Baldock, R.

J. Sharpe, U. Ahlgren, P. Perry, B. Hill, A. Ross, J. Hecksher-Sørensen, R. Baldock, and D. Davidson, “Optical projection tomography as a tool for 3D microscopy and gene expression studies,” Science296(5567), 541–545 (2002).
[CrossRef] [PubMed]

Bayoumi, M.

M. Ghantous, S. Ghosh, and M. Bayoumi, “A gradient-based hybrid image fusion scheme using object extraction,” in Proceedings of IEEE Conference on Image Processing, (IEEE, 2008), pp. 1300–1303.

Blum, R. S.

Z. Zhang and R. S. Blum, “A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application,” Proc. IEEE87(8), 1315–1326 (1999).
[CrossRef]

Braeuning, M. P.

E. D. Pisano, S. Zong, B. M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M. P. Braeuning, and S. M. Pizer, “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms,” J. Digit. Imaging11(4), 193–200 (1998).
[CrossRef] [PubMed]

Brunt, J. N. H.

G. K. Matsopoulos, S. Marshall, and J. N. H. Brunt, “Multiresolution morphological fusion of MR and CT images of the human brain,” IEEE Proc.Vis Image Sign141(3), 137–142 (1994).

Bruzzone, L.

G. Simone, A. Farina, F. C. Morabito, S. B. Serpico, and L. Bruzzone, “Image fusion techniques for remote sensing applications,” Inf. Fusion3(1), 3–15 (2002).
[CrossRef]

Bull, D. R.

J. J. Lewis, R. J. O'Callaghan, S. G. Nikolov, D. R. Bull, and C. N. Canagarajah, “Pixel- and region-based image fusion with complex wavelets,” Inf. Fusion8(2), 119–130 (2007).
[CrossRef]

S. G. Nikolov, D. R. Bull, C. N. Canagarajah, M. Halliwell, and P. N. T. Wells, “Image fusion using a 3-D wavelet transform,” in Proceedings of IEEE Conference on Image Processing And Its Applications.(IEEE, 1999), pp. 235–239.

Burt, P. J.

P. J. Burt and R. J. Kolczynski, “Enhanced image capture through fusion,” in Proceedings of IEEE Conference on Computer Vision. (IEEE, 1993), pp. 173–182.

Canagarajah, C. N.

J. J. Lewis, R. J. O'Callaghan, S. G. Nikolov, D. R. Bull, and C. N. Canagarajah, “Pixel- and region-based image fusion with complex wavelets,” Inf. Fusion8(2), 119–130 (2007).
[CrossRef]

S. G. Nikolov, D. R. Bull, C. N. Canagarajah, M. Halliwell, and P. N. T. Wells, “Image fusion using a 3-D wavelet transform,” in Proceedings of IEEE Conference on Image Processing And Its Applications.(IEEE, 1999), pp. 235–239.

Cheddad, A.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

A. Cheddad, C. Svensson, J. Sharpe, F. Georgsson, and U. Ahlgren, “Image processing assisted algorithms for optical projection tomography,” IEEE Trans. Med. Imaging31(1), 1–15 (2012).
[CrossRef] [PubMed]

A. Hörnblad, A. Cheddad, and U. Ahlgren, “An improved protocol for optical projection tomography imaging reveals lobular heterogeneities in pancreatic islet and β-cell mass distribution,” Islets3(4), 204–208 (2011).
[CrossRef] [PubMed]

Cheng, S.

S. Cheng, J. He, and Z. Lv, “Medical image of PET/CT weighted fusion based on wavelet transform,” in Proceedings of IEEE Conference on Bioinformatics and Biomedical Engineering, (IEEE, 2008), pp. 2523–2525.

Chipman, L. J.

L. J. Chipman, T. M. Orr, and L. N. Graham, “Wavelets and image fusion,” in Proceedings of IEEE Conference on Image Processing. (IEEE, 1995), pp. 248–251.

Cromartie, R.

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

Daneshvar, S.

S. Daneshvar and H. Ghassemian, “MRI and PET image fusion by combining IHS and retina-inspired models,” Inf. Fusion11(2), 114–123 (2010).
[CrossRef]

Davidson, D.

J. Sharpe, U. Ahlgren, P. Perry, B. Hill, A. Ross, J. Hecksher-Sørensen, R. Baldock, and D. Davidson, “Optical projection tomography as a tool for 3D microscopy and gene expression studies,” Science296(5567), 541–545 (2002).
[CrossRef] [PubMed]

DeLuca, M.

E. D. Pisano, S. Zong, B. M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M. P. Braeuning, and S. M. Pizer, “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms,” J. Digit. Imaging11(4), 193–200 (1998).
[CrossRef] [PubMed]

Du, C.-J.

C.-J. Du and D.-W. Sun, “Retrospective shading correction of confocal laser canning microscopy beef images for three-dimensional visualization,” Food Bioprocess Tech2(2), 167–176 (2009).
[CrossRef]

Eriksson, A. U.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

Eriksson, M.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

Farina, A.

G. Simone, A. Farina, F. C. Morabito, S. B. Serpico, and L. Bruzzone, “Image fusion techniques for remote sensing applications,” Inf. Fusion3(1), 3–15 (2002).
[CrossRef]

Fei, P.

Fu, Y.

Georgsson, F.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

A. Cheddad, C. Svensson, J. Sharpe, F. Georgsson, and U. Ahlgren, “Image processing assisted algorithms for optical projection tomography,” IEEE Trans. Med. Imaging31(1), 1–15 (2012).
[CrossRef] [PubMed]

Geselowitz, A.

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

Ghantous, M.

M. Ghantous, S. Ghosh, and M. Bayoumi, “A gradient-based hybrid image fusion scheme using object extraction,” in Proceedings of IEEE Conference on Image Processing, (IEEE, 2008), pp. 1300–1303.

Ghassemian, H.

S. Daneshvar and H. Ghassemian, “MRI and PET image fusion by combining IHS and retina-inspired models,” Inf. Fusion11(2), 114–123 (2010).
[CrossRef]

Ghosh, S.

M. Ghantous, S. Ghosh, and M. Bayoumi, “A gradient-based hybrid image fusion scheme using object extraction,” in Proceedings of IEEE Conference on Image Processing, (IEEE, 2008), pp. 1300–1303.

Goshtasby, A. A.

A. A. Goshtasby, “Fusion of multi-exposure images,” Image Vis. Comput.23(6), 611–618 (2005).
[CrossRef]

Graham, L. N.

L. J. Chipman, T. M. Orr, and L. N. Graham, “Wavelets and image fusion,” in Proceedings of IEEE Conference on Image Processing. (IEEE, 1995), pp. 248–251.

Greer, T.

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

Halliwell, M.

S. G. Nikolov, D. R. Bull, C. N. Canagarajah, M. Halliwell, and P. N. T. Wells, “Image fusion using a 3-D wavelet transform,” in Proceedings of IEEE Conference on Image Processing And Its Applications.(IEEE, 1999), pp. 235–239.

He, J.

S. Cheng, J. He, and Z. Lv, “Medical image of PET/CT weighted fusion based on wavelet transform,” in Proceedings of IEEE Conference on Bioinformatics and Biomedical Engineering, (IEEE, 2008), pp. 2523–2525.

He, Z.

Hecksher-Sørensen, J.

J. Sharpe, U. Ahlgren, P. Perry, B. Hill, A. Ross, J. Hecksher-Sørensen, R. Baldock, and D. Davidson, “Optical projection tomography as a tool for 3D microscopy and gene expression studies,” Science296(5567), 541–545 (2002).
[CrossRef] [PubMed]

Hemminger, B. M.

E. D. Pisano, S. Zong, B. M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M. P. Braeuning, and S. M. Pizer, “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms,” J. Digit. Imaging11(4), 193–200 (1998).
[CrossRef] [PubMed]

Henkelman, R. M.

J. R. Walls, J. G. Sled, J. Sharpe, and R. M. Henkelman, “Correction of artefacts in optical projection tomography,” Phys. Med. Biol.50(19), 4645–4665 (2005).
[CrossRef] [PubMed]

Hill, B.

J. Sharpe, U. Ahlgren, P. Perry, B. Hill, A. Ross, J. Hecksher-Sørensen, R. Baldock, and D. Davidson, “Optical projection tomography as a tool for 3D microscopy and gene expression studies,” Science296(5567), 541–545 (2002).
[CrossRef] [PubMed]

Holmberg, D.

T. Alanentalo, A. Asayesh, H. Morrison, C. E. Lorén, D. Holmberg, J. Sharpe, and U. Ahlgren, “Tomographic molecular imaging and 3D quantification within adult mouse organs,” Nat. Methods4(1), 31–33 (2007).
[CrossRef] [PubMed]

Hong-Zhi, X.

Q. Xiao-Bo, Y. Jing-Wen, X. Hong-Zhi, and Z. Zi-Qian, “Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain,” Acta Automatica Sinica34, 1508–1514 (2008).

Hörnblad, A.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

A. Hörnblad, A. Cheddad, and U. Ahlgren, “An improved protocol for optical projection tomography imaging reveals lobular heterogeneities in pancreatic islet and β-cell mass distribution,” Islets3(4), 204–208 (2011).
[CrossRef] [PubMed]

Huang, S.

Y. Yang, D. S. Park, S. Huang, and N. Rao, “Medical image fusion via an effective wavelet-based approach,” EURASIP J. Adv. Signal Process.2010, 1–14 (2010).
[CrossRef]

Huang, Y.

Hui, L.

L. Hui, B. S. Manjunath, and S. K. Mitra, “Multi-sensor image fusion using the wavelet transform,” in Proceedings of IEEE Conference on Image Processing, (IEEE, 1994), pp. 51–55.

Jing-Wen, Y.

Q. Xiao-Bo, Y. Jing-Wen, X. Hong-Zhi, and Z. Zi-Qian, “Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain,” Acta Automatica Sinica34, 1508–1514 (2008).

Johnston, R. E.

E. D. Pisano, S. Zong, B. M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M. P. Braeuning, and S. M. Pizer, “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms,” J. Digit. Imaging11(4), 193–200 (1998).
[CrossRef] [PubMed]

Kautz, J.

T. Mertens, J. Kautz, and F. Van Reeth, “Exposure fusion: a simple and practical alternative to high dynamic range photograph,” Comput. Graph. Forum28(1), 161–171 (2009).
[CrossRef]

Kolczynski, R. J.

P. J. Burt and R. J. Kolczynski, “Enhanced image capture through fusion,” in Proceedings of IEEE Conference on Computer Vision. (IEEE, 1993), pp. 173–182.

Kostromina, E.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

Lewis, J. J.

J. J. Lewis, R. J. O'Callaghan, S. G. Nikolov, D. R. Bull, and C. N. Canagarajah, “Pixel- and region-based image fusion with complex wavelets,” Inf. Fusion8(2), 119–130 (2007).
[CrossRef]

Looney, D.

D. Looney and D. P. Mandic, “Multi-scale image fusion using complex extensions of EMD,” IEEE Trans. Signal Process.57(4), 1626–1630 (2009).
[CrossRef]

Lorén, C. E.

T. Alanentalo, A. Asayesh, H. Morrison, C. E. Lorén, D. Holmberg, J. Sharpe, and U. Ahlgren, “Tomographic molecular imaging and 3D quantification within adult mouse organs,” Nat. Methods4(1), 31–33 (2007).
[CrossRef] [PubMed]

Lu, P. J.

Lv, Z.

S. Cheng, J. He, and Z. Lv, “Medical image of PET/CT weighted fusion based on wavelet transform,” in Proceedings of IEEE Conference on Bioinformatics and Biomedical Engineering, (IEEE, 2008), pp. 2523–2525.

Ma, Y.

Z. B. Wang and Y. Ma, “Medical image fusion using m-PCNN,” Inf. Fusion9(2), 176–185 (2008).
[CrossRef]

Mandic, D. P.

D. Looney and D. P. Mandic, “Multi-scale image fusion using complex extensions of EMD,” IEEE Trans. Signal Process.57(4), 1626–1630 (2009).
[CrossRef]

Manjunath, B. S.

L. Hui, B. S. Manjunath, and S. K. Mitra, “Multi-sensor image fusion using the wavelet transform,” in Proceedings of IEEE Conference on Image Processing, (IEEE, 1994), pp. 51–55.

Marshall, S.

G. K. Matsopoulos, S. Marshall, and J. N. H. Brunt, “Multiresolution morphological fusion of MR and CT images of the human brain,” IEEE Proc.Vis Image Sign141(3), 137–142 (1994).

Matsopoulos, G. K.

G. K. Matsopoulos, S. Marshall, and J. N. H. Brunt, “Multiresolution morphological fusion of MR and CT images of the human brain,” IEEE Proc.Vis Image Sign141(3), 137–142 (1994).

McMahon, A. P.

K. Stark, S. Vainio, G. Vassileva, and A. P. McMahon, “Epithelial transformation of metanephric mesenchyme in the developing kidney regulated by Wnt-4,” Nature372(6507), 679–683 (1994).
[CrossRef] [PubMed]

Mertens, T.

T. Mertens, J. Kautz, and F. Van Reeth, “Exposure fusion: a simple and practical alternative to high dynamic range photograph,” Comput. Graph. Forum28(1), 161–171 (2009).
[CrossRef]

Mitianoudis, N.

N. Mitianoudis and T. Stathaki, “Pixel-based and region-based image fusion schemes using ICA bases,” Inf. Fusion8(2), 131–142 (2007).
[CrossRef]

Mitra, S. K.

L. Hui, B. S. Manjunath, and S. K. Mitra, “Multi-sensor image fusion using the wavelet transform,” in Proceedings of IEEE Conference on Image Processing, (IEEE, 1994), pp. 51–55.

Morabito, F. C.

G. Simone, A. Farina, F. C. Morabito, S. B. Serpico, and L. Bruzzone, “Image fusion techniques for remote sensing applications,” Inf. Fusion3(1), 3–15 (2002).
[CrossRef]

Morrison, H.

T. Alanentalo, A. Asayesh, H. Morrison, C. E. Lorén, D. Holmberg, J. Sharpe, and U. Ahlgren, “Tomographic molecular imaging and 3D quantification within adult mouse organs,” Nat. Methods4(1), 31–33 (2007).
[CrossRef] [PubMed]

Muller, K.

E. D. Pisano, S. Zong, B. M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M. P. Braeuning, and S. M. Pizer, “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms,” J. Digit. Imaging11(4), 193–200 (1998).
[CrossRef] [PubMed]

Nikolov, S. G.

J. J. Lewis, R. J. O'Callaghan, S. G. Nikolov, D. R. Bull, and C. N. Canagarajah, “Pixel- and region-based image fusion with complex wavelets,” Inf. Fusion8(2), 119–130 (2007).
[CrossRef]

S. G. Nikolov, D. R. Bull, C. N. Canagarajah, M. Halliwell, and P. N. T. Wells, “Image fusion using a 3-D wavelet transform,” in Proceedings of IEEE Conference on Image Processing And Its Applications.(IEEE, 1999), pp. 235–239.

Norlin, N.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

O'Callaghan, R. J.

J. J. Lewis, R. J. O'Callaghan, S. G. Nikolov, D. R. Bull, and C. N. Canagarajah, “Pixel- and region-based image fusion with complex wavelets,” Inf. Fusion8(2), 119–130 (2007).
[CrossRef]

Orr, T. M.

L. J. Chipman, T. M. Orr, and L. N. Graham, “Wavelets and image fusion,” in Proceedings of IEEE Conference on Image Processing. (IEEE, 1995), pp. 248–251.

Park, D. S.

Y. Yang, D. S. Park, S. Huang, and N. Rao, “Medical image fusion via an effective wavelet-based approach,” EURASIP J. Adv. Signal Process.2010, 1–14 (2010).
[CrossRef]

Perry, P.

J. Sharpe, U. Ahlgren, P. Perry, B. Hill, A. Ross, J. Hecksher-Sørensen, R. Baldock, and D. Davidson, “Optical projection tomography as a tool for 3D microscopy and gene expression studies,” Science296(5567), 541–545 (2002).
[CrossRef] [PubMed]

Pileggi, A.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

Pisano, E. D.

E. D. Pisano, S. Zong, B. M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M. P. Braeuning, and S. M. Pizer, “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms,” J. Digit. Imaging11(4), 193–200 (1998).
[CrossRef] [PubMed]

Pizer, S. M.

E. D. Pisano, S. Zong, B. M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M. P. Braeuning, and S. M. Pizer, “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms,” J. Digit. Imaging11(4), 193–200 (1998).
[CrossRef] [PubMed]

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

S. M. Pizer, J. B. Zimmerman, and E. V. Staab, “Adaptive grey level assignment in CT scan display,” J. Comput. Assist. Tomogr.8(2), 300–305 (1984).
[PubMed]

Rao, N.

Y. Yang, D. S. Park, S. Huang, and N. Rao, “Medical image fusion via an effective wavelet-based approach,” EURASIP J. Adv. Signal Process.2010, 1–14 (2010).
[CrossRef]

Reinhard, E.

A. O. Akyuz and E. Reinhard, “Noise reduction in high dynamic range imaging,” J Vis Commun Image R18(5), 366–376 (2007).
[CrossRef]

Ross, A.

J. Sharpe, U. Ahlgren, P. Perry, B. Hill, A. Ross, J. Hecksher-Sørensen, R. Baldock, and D. Davidson, “Optical projection tomography as a tool for 3D microscopy and gene expression studies,” Science296(5567), 541–545 (2002).
[CrossRef] [PubMed]

Serpico, S. B.

G. Simone, A. Farina, F. C. Morabito, S. B. Serpico, and L. Bruzzone, “Image fusion techniques for remote sensing applications,” Inf. Fusion3(1), 3–15 (2002).
[CrossRef]

Sharpe, J.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

A. Cheddad, C. Svensson, J. Sharpe, F. Georgsson, and U. Ahlgren, “Image processing assisted algorithms for optical projection tomography,” IEEE Trans. Med. Imaging31(1), 1–15 (2012).
[CrossRef] [PubMed]

T. Alanentalo, A. Asayesh, H. Morrison, C. E. Lorén, D. Holmberg, J. Sharpe, and U. Ahlgren, “Tomographic molecular imaging and 3D quantification within adult mouse organs,” Nat. Methods4(1), 31–33 (2007).
[CrossRef] [PubMed]

J. R. Walls, J. G. Sled, J. Sharpe, and R. M. Henkelman, “Correction of artefacts in optical projection tomography,” Phys. Med. Biol.50(19), 4645–4665 (2005).
[CrossRef] [PubMed]

J. Sharpe, U. Ahlgren, P. Perry, B. Hill, A. Ross, J. Hecksher-Sørensen, R. Baldock, and D. Davidson, “Optical projection tomography as a tool for 3D microscopy and gene expression studies,” Science296(5567), 541–545 (2002).
[CrossRef] [PubMed]

Simone, G.

G. Simone, A. Farina, F. C. Morabito, S. B. Serpico, and L. Bruzzone, “Image fusion techniques for remote sensing applications,” Inf. Fusion3(1), 3–15 (2002).
[CrossRef]

Sled, J. G.

J. R. Walls, J. G. Sled, J. Sharpe, and R. M. Henkelman, “Correction of artefacts in optical projection tomography,” Phys. Med. Biol.50(19), 4645–4665 (2005).
[CrossRef] [PubMed]

Staab, E. V.

S. M. Pizer, J. B. Zimmerman, and E. V. Staab, “Adaptive grey level assignment in CT scan display,” J. Comput. Assist. Tomogr.8(2), 300–305 (1984).
[PubMed]

Stark, K.

K. Stark, S. Vainio, G. Vassileva, and A. P. McMahon, “Epithelial transformation of metanephric mesenchyme in the developing kidney regulated by Wnt-4,” Nature372(6507), 679–683 (1994).
[CrossRef] [PubMed]

Stathaki, T.

N. Mitianoudis and T. Stathaki, “Pixel-based and region-based image fusion schemes using ICA bases,” Inf. Fusion8(2), 131–142 (2007).
[CrossRef]

Sun, D.-W.

C.-J. Du and D.-W. Sun, “Retrospective shading correction of confocal laser canning microscopy beef images for three-dimensional visualization,” Food Bioprocess Tech2(2), 167–176 (2009).
[CrossRef]

Svensson, C.

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

A. Cheddad, C. Svensson, J. Sharpe, F. Georgsson, and U. Ahlgren, “Image processing assisted algorithms for optical projection tomography,” IEEE Trans. Med. Imaging31(1), 1–15 (2012).
[CrossRef] [PubMed]

ter Haar Romeny, B.

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

Toet, A.

A. Toet, “Hierarchical image fusion,” Mach. Vis. Appl.3(1), 1–11 (1990).
[CrossRef]

Vainio, S.

K. Stark, S. Vainio, G. Vassileva, and A. P. McMahon, “Epithelial transformation of metanephric mesenchyme in the developing kidney regulated by Wnt-4,” Nature372(6507), 679–683 (1994).
[CrossRef] [PubMed]

Van Reeth, F.

T. Mertens, J. Kautz, and F. Van Reeth, “Exposure fusion: a simple and practical alternative to high dynamic range photograph,” Comput. Graph. Forum28(1), 161–171 (2009).
[CrossRef]

Vassileva, G.

K. Stark, S. Vainio, G. Vassileva, and A. P. McMahon, “Epithelial transformation of metanephric mesenchyme in the developing kidney regulated by Wnt-4,” Nature372(6507), 679–683 (1994).
[CrossRef] [PubMed]

Walls, J. R.

J. R. Walls, J. G. Sled, J. Sharpe, and R. M. Henkelman, “Correction of artefacts in optical projection tomography,” Phys. Med. Biol.50(19), 4645–4665 (2005).
[CrossRef] [PubMed]

Wang, X.

Wang, Z. B.

Z. B. Wang and Y. Ma, “Medical image fusion using m-PCNN,” Inf. Fusion9(2), 176–185 (2008).
[CrossRef]

Wells, P. N. T.

S. G. Nikolov, D. R. Bull, C. N. Canagarajah, M. Halliwell, and P. N. T. Wells, “Image fusion using a 3-D wavelet transform,” in Proceedings of IEEE Conference on Image Processing And Its Applications.(IEEE, 1999), pp. 235–239.

Xiao-Bo, Q.

Q. Xiao-Bo, Y. Jing-Wen, X. Hong-Zhi, and Z. Zi-Qian, “Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain,” Acta Automatica Sinica34, 1508–1514 (2008).

Xiong, J.

Yang, Y.

Y. Yang, D. S. Park, S. Huang, and N. Rao, “Medical image fusion via an effective wavelet-based approach,” EURASIP J. Adv. Signal Process.2010, 1–14 (2010).
[CrossRef]

Yu, Z.

Zhang, Z.

Z. Zhang and R. S. Blum, “A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application,” Proc. IEEE87(8), 1315–1326 (1999).
[CrossRef]

Zimmerman, J. B.

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

S. M. Pizer, J. B. Zimmerman, and E. V. Staab, “Adaptive grey level assignment in CT scan display,” J. Comput. Assist. Tomogr.8(2), 300–305 (1984).
[PubMed]

Zi-Qian, Z.

Q. Xiao-Bo, Y. Jing-Wen, X. Hong-Zhi, and Z. Zi-Qian, “Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain,” Acta Automatica Sinica34, 1508–1514 (2008).

Zong, S.

E. D. Pisano, S. Zong, B. M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M. P. Braeuning, and S. M. Pizer, “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms,” J. Digit. Imaging11(4), 193–200 (1998).
[CrossRef] [PubMed]

Zuiderveld, K.

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

Acta Automatica Sinica (1)

Q. Xiao-Bo, Y. Jing-Wen, X. Hong-Zhi, and Z. Zi-Qian, “Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain,” Acta Automatica Sinica34, 1508–1514 (2008).

Comput Vision Graph (1)

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, “Adaptive histogram equalization and its variations,” Comput Vision Graph39(3), 355–368 (1987).
[CrossRef]

Comput. Graph. Forum (1)

T. Mertens, J. Kautz, and F. Van Reeth, “Exposure fusion: a simple and practical alternative to high dynamic range photograph,” Comput. Graph. Forum28(1), 161–171 (2009).
[CrossRef]

EURASIP J. Adv. Signal Process. (1)

Y. Yang, D. S. Park, S. Huang, and N. Rao, “Medical image fusion via an effective wavelet-based approach,” EURASIP J. Adv. Signal Process.2010, 1–14 (2010).
[CrossRef]

Food Bioprocess Tech (1)

C.-J. Du and D.-W. Sun, “Retrospective shading correction of confocal laser canning microscopy beef images for three-dimensional visualization,” Food Bioprocess Tech2(2), 167–176 (2009).
[CrossRef]

IEEE Proc.Vis Image Sign (1)

G. K. Matsopoulos, S. Marshall, and J. N. H. Brunt, “Multiresolution morphological fusion of MR and CT images of the human brain,” IEEE Proc.Vis Image Sign141(3), 137–142 (1994).

IEEE Trans. Med. Imaging (1)

A. Cheddad, C. Svensson, J. Sharpe, F. Georgsson, and U. Ahlgren, “Image processing assisted algorithms for optical projection tomography,” IEEE Trans. Med. Imaging31(1), 1–15 (2012).
[CrossRef] [PubMed]

IEEE Trans. Signal Process. (1)

D. Looney and D. P. Mandic, “Multi-scale image fusion using complex extensions of EMD,” IEEE Trans. Signal Process.57(4), 1626–1630 (2009).
[CrossRef]

Image Vis. Comput. (1)

A. A. Goshtasby, “Fusion of multi-exposure images,” Image Vis. Comput.23(6), 611–618 (2005).
[CrossRef]

Inf. Fusion (5)

Z. B. Wang and Y. Ma, “Medical image fusion using m-PCNN,” Inf. Fusion9(2), 176–185 (2008).
[CrossRef]

S. Daneshvar and H. Ghassemian, “MRI and PET image fusion by combining IHS and retina-inspired models,” Inf. Fusion11(2), 114–123 (2010).
[CrossRef]

G. Simone, A. Farina, F. C. Morabito, S. B. Serpico, and L. Bruzzone, “Image fusion techniques for remote sensing applications,” Inf. Fusion3(1), 3–15 (2002).
[CrossRef]

N. Mitianoudis and T. Stathaki, “Pixel-based and region-based image fusion schemes using ICA bases,” Inf. Fusion8(2), 131–142 (2007).
[CrossRef]

J. J. Lewis, R. J. O'Callaghan, S. G. Nikolov, D. R. Bull, and C. N. Canagarajah, “Pixel- and region-based image fusion with complex wavelets,” Inf. Fusion8(2), 119–130 (2007).
[CrossRef]

Islets (1)

A. Hörnblad, A. Cheddad, and U. Ahlgren, “An improved protocol for optical projection tomography imaging reveals lobular heterogeneities in pancreatic islet and β-cell mass distribution,” Islets3(4), 204–208 (2011).
[CrossRef] [PubMed]

J Vis Commun Image R (1)

A. O. Akyuz and E. Reinhard, “Noise reduction in high dynamic range imaging,” J Vis Commun Image R18(5), 366–376 (2007).
[CrossRef]

J. Comput. Assist. Tomogr. (1)

S. M. Pizer, J. B. Zimmerman, and E. V. Staab, “Adaptive grey level assignment in CT scan display,” J. Comput. Assist. Tomogr.8(2), 300–305 (1984).
[PubMed]

J. Digit. Imaging (1)

E. D. Pisano, S. Zong, B. M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M. P. Braeuning, and S. M. Pizer, “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms,” J. Digit. Imaging11(4), 193–200 (1998).
[CrossRef] [PubMed]

J. Vis. Exp. (1)

A. U. Eriksson, C. Svensson, A. Hörnblad, A. Cheddad, E. Kostromina, M. Eriksson, N. Norlin, A. Pileggi, J. Sharpe, F. Georgsson, T. Alanentalo, and U. Ahlgren, “Near infrared Optical projection tomography for assessments of β-cell mass distribution in diabetes research,” J. Vis. Exp. (71): e50238 (2013).
[PubMed]

Mach. Vis. Appl. (1)

A. Toet, “Hierarchical image fusion,” Mach. Vis. Appl.3(1), 1–11 (1990).
[CrossRef]

Nat. Methods (1)

T. Alanentalo, A. Asayesh, H. Morrison, C. E. Lorén, D. Holmberg, J. Sharpe, and U. Ahlgren, “Tomographic molecular imaging and 3D quantification within adult mouse organs,” Nat. Methods4(1), 31–33 (2007).
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