• Acta Optica Sinica
  • Vol. 39, Issue 2, 0211005 (2019)
Wanzhou Yin* and Bin Zhang*
Author Affiliations
  • School of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China
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    DOI: 10.3788/AOS201939.0211005 Cite this Article Set citation alerts
    Wanzhou Yin, Bin Zhang. Reconstruction of Bioluminescence Tomography Based on Block Sparse Bayes Learning[J]. Acta Optica Sinica, 2019, 39(2): 0211005 Copy Citation Text show less
    Flow chart of proposed algorithm
    Fig. 1. Flow chart of proposed algorithm
    Simulation models. (a) Heterogeneous digi-mouse model; (b) front view of discretized mesh of mouse torso; (c) back view of the discretized mesh
    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
    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. 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
    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. 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
    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. 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
    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. 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
    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. 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
    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. 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
    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
    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
    Optical parameterμa /nm-1μ's/nm-1
    590 nm610 nm630 mn650 nm590 nm610 nm630 nm650 nm
    Heart0.48290.09440.04731.01001.161.101.050.0329
    Lungs1.33580.21870.10480.07122.332.282.252.2100
    Liver2.89690.56560.28280.19680.770.750.720.7000
    Kidney0.54090.10580.05300.03702.732.602.472.3600
    Skeleton0.45470.08190.04020.02773.012.862.732.6100
    Soft tissuea0.03320.00710.00370.00261.531.461.401.3500
    Notes: aμa is chosen from adipose tissue in Ref. [36]. μ's is calculated from Eq. (1) and Table 2 in Ref. [4].
    Table 1. Optical parameters of different regions under four wavelengths[4,36]
    CaseCenter of true sourceAlgorithmCOM of reconstruction sourceDoffset/mmDiceαCNR
    Case1(19.9,49.3,7.7)L1-LS(19.8,49.3,7.8)0.20.179.9
    BSBL(19.9,49.1,8.0)0.30.79311.2
    Case2(26.9,39.7,14.7)L1-LS(26.4,39.6,14.5)0.50.3241.4
    BSBL(26.7,39.7,14.5)0.30.545199.4
    Case3(28.3,36.0,9.2)L1-LS(27.8,36.8,9.7)1.10.089.3
    BSBL(28.2,36.0,9.3)0.20.651778.8
    Case4(16.8,56.9,13.0)L1-LS(16.7,57.2,12.8)0.40.3621.2
    (23.5,57.3,11.2)0.5
    (23.2,56.9,11.0)BSBL(16.7,56.7,13.0)0.20.69404.2
    (23.2,56.8,11.0)0.2
    Table 2. Comparison of simulated reconstruction results
    Wanzhou Yin, Bin Zhang. Reconstruction of Bioluminescence Tomography Based on Block Sparse Bayes Learning[J]. Acta Optica Sinica, 2019, 39(2): 0211005
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