Acta Optica Sinica, Volume. 39, Issue 2, 0211005(2019)
Reconstruction of Bioluminescence Tomography Based on Block Sparse Bayes Learning
Figures & Tables(11)
Fig. 2. Simulation models. (a) Heterogeneous digi-mouse model; (b) front view of discretized mesh of mouse torso; (c) back view of the discretized mesh
Fig. 3. Reconstruction results of single source in liver (all BLT results are normalized intensity). (a) 3D rendering of true source distribution; (b1)-(b3) transverse, coronal and sagittal views of true source overlapped with CT images; (c) 3D rendering of BSBL reconstruction result; (d1)-(d3) transverse, coronal and sagittal views of BSBL reconstruction result overlapped with CT images; (e) 3D rendering of L1-LS reconstruction result; (f1)-(f3) transverse, coronal and sagittal views of L1-LS reconstru
Fig. 4. Comparison of evaluation parameters of simulated results. (a) Comparison of 3D COM offset of reconstructed resource; (b) comparison of Dice coefficient between reconstructed and true sources; (c) comparison of αCNR of reconstructed image
Fig. 5. Reconstruction results of single source in kidney (all BLT results are normalized intensity). (a) 3D rendering of true source distribution; (b1)-(b3) transverse, coronal and sagittal views of true source overlapped with CT images; (c) 3D rendering of BSBL reconstruction result; (d1)-(d3) three views of BSBL reconstruction result overlapped with CT images; (e) 3D rendering of L1-LS reconstruction result; (f1)-(f3) three views of L1-LS reconstruction result overlapped with CT images
Fig. 6. Reconstruction results of single source in abdomen (all BLT results are normalized intensity). (a) 3D rendering of true source distribution; (b1)-(b3) transverse, coronal and sagittal views of true source overlapped with CT images; (c) 3D rendering of BSBL reconstruction result; (d1)-(d3) three views of BSBL reconstruction result overlapped with CT images; (e) 3D rendering of L1-LS reconstruction result; (f1)-(f3) three views of L1-LS reconstruction result overlapped with CT images
Fig. 7. Reconstruction results of double sources in lungs (all BLT results are normalized intensity). (a) 3D rendering of true source distribution; (b1) (b2) transverse and coronal views of true left source overlapped with CT images; (b3)(b4) transverse and coronal views of true right source; (c) 3D rendering of BSBL reconstruction result; (d1)(d2) transverse and coronal views of left source overlapped with CT images using BSBL method; (d3)(d4) transverse and coronal views of right source using BSBL met
Fig. 8. Normalized source intensity on line AB. (a) Schematic of line AB across single source; (b) schematic of line AB across double sources; (c) normalization curve for case1; (d) normalization curve for case2; (e) normalization curve for case3; (f) normalization curve for case4
Fig. 9. Reconstruction results of mouse experiment (all BLT results are normalized intensity). (a) Surface optical signals collected in experiment; (b) surface optical signal distribution on discrete grids; (c) 3D rendering of BSBL reconstruction result; (d1)-(d3) rransverse, coronal and sagittal views of BSBL reconstruction result overlapped with CT images; (e) 3D rendering of L1-LS reconstruction result; (f1)-(f3) transverse, coronal and sagittal views of L1-LS reconstruction result overlapped with CT
Table 1. Optical parameters of different regions under four wavelengths[4,36]
View tableTable 1. Optical parameters of different regions under four wavelengths[4,36]
Optical parameter μ a /nm-1μ' /nm-1 590 nm 610 nm 630 mn 650 nm 590 nm 610 nm 630 nm 650 nm Heart 0.4829 0.0944 0.0473 1.0100 1.16 1.10 1.05 0.0329 Lungs 1.3358 0.2187 0.1048 0.0712 2.33 2.28 2.25 2.2100 Liver 2.8969 0.5656 0.2828 0.1968 0.77 0.75 0.72 0.7000 Kidney 0.5409 0.1058 0.0530 0.0370 2.73 2.60 2.47 2.3600 Skeleton 0.4547 0.0819 0.0402 0.0277 3.01 2.86 2.73 2.6100 Soft tissuea 0.0332 0.0071 0.0037 0.0026 1.53 1.46 1.40 1.3500 Notes: a μ a is chosen from adipose tissue in Ref. [36].μ' s is calculated from Eq. (1) andTable 2 in Ref. [4].
Table 2. Comparison of simulated reconstruction results
View tableTable 2. Comparison of simulated reconstruction results
Case Center of true source Algorithm COM of reconstruction source /mm D iceα CNRCase1 (19.9,49.3,7.7) L1-LS (19.8,49.3,7.8) 0.2 0.17 9.9 BSBL (19.9,49.1,8.0) 0.3 0.79 311.2 Case2 (26.9,39.7,14.7) L1-LS (26.4,39.6,14.5) 0.5 0.32 41.4 BSBL (26.7,39.7,14.5) 0.3 0.54 5199.4 Case3 (28.3,36.0,9.2) L1-LS (27.8,36.8,9.7) 1.1 0.08 9.3 BSBL (28.2,36.0,9.3) 0.2 0.65 1778.8 Case4 (16.8,56.9,13.0) L1-LS (16.7,57.2,12.8) 0.4 0.36 21.2 (23.5,57.3,11.2) 0.5 (23.2,56.9,11.0) BSBL (16.7,56.7,13.0) 0.2 0.69 404.2 (23.2,56.8,11.0) 0.2
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Wanzhou Yin, Bin Zhang. Reconstruction of Bioluminescence Tomography Based on Block Sparse Bayes Learning[J]. Acta Optica Sinica, 2019, 39(2): 0211005
Paper Information
Category: Imaging Systems
Received: Jun. 28, 2018
Accepted: Oct. 8, 2018
Published Online: May. 10, 2019
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