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

Journals >Acta Optica Sinica >Volume 37 >Issue 12 >Page 1217001 > Article

Acta Optica Sinica
Vol. 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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DOI: 10.3788/AOS201737.1217001 Cite this Article Set citation alerts

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 Copy Citation Text

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

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 2. Results of three reconstruction algorithms in simulation experiment

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 3. Reconstruction results of SBL algorithms at different noise levels

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 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)	(5.62,-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

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

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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