Single-View Enhanced Cerenkov Luminescence Tomography Based on Sparse Bayesian Learning

Yuqing Hou; Hua Xue; Xin Cao; Haibo Zhang; Xuan Qu; Xiaowei He

doi:10.3788/AOS201737.1217001

Acta Optica Sinica, Volume. 37, Issue 12, 1217001(2017)

Single-View Enhanced Cerenkov Luminescence Tomography Based on Sparse Bayesian Learning

Yuqing Hou, Hua Xue, Xin Cao, Haibo Zhang, Xuan Qu, and Xiaowei He^*

Author Affiliations

School of Information and Technology, Northwest University, Xi'an, Shaanxi 710127, China

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Figures & Tables(13)

Fig. 1. SBL algorithm combined with iterative-shrinking permissible region strategy

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Fig. 2. (a) Model of non-homogeneous cylinder phantom; (b) surface optical information

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Fig. 3. Reconstruction results of simulation experiments. (a)-(c) Stereograms of reconstruction results with IVTCG, StOMP, and SBL; (d)-(f) two-dimensional cross-section views with the three algorithms at z=15 mm

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Fig. 4. Results of preliminary experiment 1. (a) Pseudocolor images collected by IVIS system (first column represents results of experimental group, while second column represents results of control group); (b) quantification analysis results of Fig. 4(a)

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Fig. 5. Results of preliminary experiment 2. (a) Pseudocolor images collected by IVIS system; (b) quantification analysis results of Fig. 5(a)

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Fig. 6. Geometric structure diagrams of (a) cubic and (b) cylindrical phantom; single-views of (c) cubic and (d) cylindrical phantoms collected by IVIS system

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Fig. 7. Reconstruction results of cubic physical phantom experiment. (a)-(c) Stereograms of reconstruction results with IVTCG, StOMP, and SBL; (d)-(f) two-dimensional cross-section views of three algorithms at z=1 mm

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Fig. 8. Reconstruction results of cylindrical physical phantom experiment. (a)-(c) Stereograms of reconstruction results with IVTCG, StOMP, and SBL; (d)-(f) two-dimensional cross-section views of three algorithms at z=1 mm

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Table 1. Optical parameters of different regions of non-homogeneous cylinder phantom
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Table 1. Optical parameters of different regions of non-homogeneous cylinder phantom
Organ $\begin{matrix} {μ_{a}}_{} \end{matrix}$ /mm^-1 $\begin{matrix} {μ_{s}}_{} \end{matrix}$ /mm^-1 g
Muscle 0.0052 10.800 0.90
Heart 0.0083 6.733 0.85
Lung 0.0133 19.700 0.90
Liver 0.0329 7.000 0.90
Bone 0.0060 60.090 0.90

Table 2. Results of three reconstruction algorithms in simulation experiment

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Table 2. Results of three reconstruction algorithms in simulation experiment

Algorithms	Actual source central position /mm	Reconstructed source central position /mm	$\begin{matrix} {f_{LE}}_{} \end{matrix}$ /mm	f_Dice	Time /s
IVTCG	(2,5,15)	(1.72,4.11,12.36)	2.81	0	1.38
StOMP	(2,5,15)	(2.66,5.92,15.54)	1.26	0.33	0.74
SBL	(2,5,15)	(2.09,5.35,15.51)	0.63	0.50	0.58

Table 3. Reconstruction results of SBL algorithms at different noise levels

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Table 3. Reconstruction results of SBL algorithms at different noise levels

Noise level /%	Actual source central position /mm	Reconstructed source central position /mm	$\begin{matrix} {f_{LE}}_{} \end{matrix}$ /mm	f_Dice	Time /s
10	(2,5,15)	(2.08,5.38,15.51)	0.64	0.50	0.71
20	(2,5,15)	(2.07,5.40,15.52)	0.66	0.45	0.68
30	(2,5,15)	(2.19,5.57,14.60)	0.72	0.40	0.74
40	(2,5,15)	(2.38,5.36,15.51)	0.73	0.40	0.70

Table 4. Results of three reconstruction algorithms in cubic physical phantom experiment

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Table 4. Results of three reconstruction algorithms in cubic physical phantom experiment

Algorithm	Actual source central position /mm	Reconstructed source central position /mm	$\begin{matrix} {f_{LE}}_{} \end{matrix}$ /mm	f_Dice	Time /s
IVTCG	(6.25,0,1.00)	(5.23,0.73,-1.40)	2.71	0	4.45
StOMP	(6.25,0,1.00)	(5.54,1.48,0.71)	1.66	0.13	2.82
SBL	(6.25,0,1.00)	(6.08,-0.26,0.42)	0.66	0.50	1.97

Table 5. Results of three reconstruction algorithms in cylindrical physical phantom experiment

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Table 5. Results of three reconstruction algorithms in cylindrical physical phantom experiment

Algorithm	Actual source central position /mm	Reconstructed source central position /mm	$\begin{matrix} {f_{LE}}_{} \end{matrix}$ /mm	f_Dice	Time /s
IVTCG	(6.25,0,1.00)	(5.62,-0.22,-2.01)	3.08	0	4.72
StOMP	(6.25,0,1.00)	(5.19,-0.54,0.56)	1.27	0.29	2.98
SBL	(6.25,0,1.00)	(6.59,-0.07,0.47)	0.63	0.50	1.87

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Yuqing Hou, Hua Xue, Xin Cao, Haibo Zhang, Xuan Qu, Xiaowei He. Single-View Enhanced Cerenkov Luminescence Tomography Based on Sparse Bayesian Learning[J]. Acta Optica Sinica, 2017, 37(12): 1217001

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Paper Information

Category: Medical Optics and Biotechnology

Received: Jul. 10, 2017

Accepted: --

Published Online: Sep. 6, 2018

The Author Email: Xiaowei He (hexw@nwu.edu.cn)

DOI:10.3788/AOS201737.1217001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Optical parameters of different regions of non-homogeneous cylinder phantom

Table 1. Optical parameters of different regions of non-homogeneous cylinder phantom

Table 2. Results of three reconstruction algorithms in simulation experiment

Table 2. Results of three reconstruction algorithms in simulation experiment

Table 3. Reconstruction results of SBL algorithms at different noise levels

Table 3. Reconstruction results of SBL algorithms at different noise levels

Table 4. Results of three reconstruction algorithms in cubic physical phantom experiment

Table 4. Results of three reconstruction algorithms in cubic physical phantom experiment

Table 5. Results of three reconstruction algorithms in cylindrical physical phantom experiment

Table 5. Results of three reconstruction algorithms in cylindrical physical phantom experiment