Abstract

Diffuse fluorescence tomography (DFT) methods using the full time-resolved (TR) data have been demonstrated to substantially improve the spatial resolution and quantitative accuracy of reconstructed images. However, these methods usually suffer from low practical feasibility because of the influence of the system impulse response function (IRF) and the trade-off between the used data time-resolution and the required signal-to-noise ratio (SNR). We present a full TR approach that combines an IRF-calibrated full TR Born normalization and an overlap-delaying time-gate scheme for attaining high SNR without sacrificing the TR information content. The approach is validated with full TR data from phantom experiments for its better performances in the spatial resolution and reconstruction fidelity compared to the traditional DFT methods.

© 2013 Optical Society of America

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References

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2012 (2)

2011 (2)

Q. Zhu, H. Dehghani, K. M. Tichauer, R. W. Holt, K. Vishwanath, F. Leblond, and B. W. Pogue, Phys. Med. Biol. 56, 7419 (2011).
[CrossRef]

F. Leblond, K. M. Tichauer, R. W. Holt, F. E. Ghussein, and B. W. Pogue, Opt. Lett. 36, 3723 (2011).
[CrossRef]

2010 (2)

2008 (1)

2001 (1)

Chen, J.

Dehghani, H.

R. W. Holt, K. M. Tichauer, H. Dehghani, B. W. Pogue, and F. Leblond, Opt. Lett. 37, 2559 (2012).
[CrossRef]

Q. Zhu, H. Dehghani, K. M. Tichauer, R. W. Holt, K. Vishwanath, F. Leblond, and B. W. Pogue, Phys. Med. Biol. 56, 7419 (2011).
[CrossRef]

Diop, M.

Gao, F.

Ghussein, F. E.

Holt, R. W.

Intes, X.

Lawrence, K. S.

Leblond, F.

Lesage, F.

Li, J.

Marjono, A.

Ntziachristos, V.

Pogue, B. W.

Poulet, P.

Tanikawa, Y.

Tichauer, K. M.

Venugopal, V.

Vishwanath, K.

Q. Zhu, H. Dehghani, K. M. Tichauer, R. W. Holt, K. Vishwanath, F. Leblond, and B. W. Pogue, Phys. Med. Biol. 56, 7419 (2011).
[CrossRef]

Weissleder, R.

Yamada, Y.

Zhang, L. M.

Zhao, H. J.

Zhu, Q.

Q. Zhu, H. Dehghani, K. M. Tichauer, R. W. Holt, K. Vishwanath, F. Leblond, and B. W. Pogue, Phys. Med. Biol. 56, 7419 (2011).
[CrossRef]

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Figures (4)

Fig. 1.
Fig. 1.

Calculation of the overlap-TG data type. (a) The measured TPSF, I(t), is equal to the temporal convolution of the measured IRF, H(t), and the model-calculated TOFD, Γ(t). (b) The data type, M(tn), is the average of I(t) within the overlap-delaying TGs.

Fig. 2.
Fig. 2.

Time-domain DFT experimental setup for obtaining full TR measurements.

Fig. 3.
Fig. 3.

X-ray CT, DFT-reconstructed yield images and their X-profiles of (a) the single-target phantom, and the two-target phantoms with (b) CCS=14mm, (c) CCS=11mm, and (d) CCS=8mm, using CW, multiple-TG, and overlap-TG methods. The dashed circles in each image indicate the location and size of the target inclusions.

Fig. 4.
Fig. 4.

Reconstructed yield images and their X-profiles of the two-target phantom with CCS=11mm using (a) the multiple-TG and (b) overlap-TG methods, for ΔTg=200, 500, and 800 ps, respectively.

Tables (1)

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Table 1. Performance Comparison of the Reconstructed Images Shown in Fig. 3

Equations (3)

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[H(t)J(t)]x=b(t),
M(tn)=1Kk=1KI(tn+tkΔTg/2),
JT(tn)x=bT(tn),

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