Chinese Journal of Lasers, Volume. 48, Issue 7, 0707001(2021)
Bioluminescence Tomography Algorithm Based on Primal Dual Active Set with Continuation
Fig. 1. Simulation experiment for single-source with radius of 1 mm. (a) Digital mouse model containing single-source; (b)--(d) surface intensity distribution obtained at 610 nm,630 nm, and 650 nm, respectively
Fig. 2. Reconstruction results of three algorithms for single-source with different radii: the transverse view at the plane (Z=18 mm) where the center of the real light source is located, and the black circle represents the real light source
Fig. 3. Reconstruction results of three algorithms for single-source with different radii: the profiles of the reconstructed source along X-axis. (a) R=1 mm; (b) R=1.5 mm; (c) R=2 mm
Fig. 4. Simulation experiment of double-source with spacing of 4 mm. (a) Digital mouse model containing two light sources; (b)--(d) surface intensity distribution obtained at 610 nm, 630 nm, 650 nm, respectively
Fig. 5. Reconstruction results of three algorithms for double-source with different spacings: the transverse view at the plane (Z=17 mm) where the center of the real light source is located, and the black circle represents the real light source
Fig. 6. Reconstruction results of three algorithms for double-source with different spacings: the profiles of the reconstructed source along Y-axis. (a) d=4 mm; (b) d=5 mm; (c) d=6 mm
Fig. 7. Surface intensity distribution on the mouse surface obtained at different wavelengths by in vivo experiment
Fig. 8. In vivo reconstruction results by the three algorithms. (a) PDASC algorithm; (b) PDAS algorithm; (c) HTP algorithm
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Jingjing Yu, Lingwei Li, Qin Tang. Bioluminescence Tomography Algorithm Based on Primal Dual Active Set with Continuation[J]. Chinese Journal of Lasers, 2021, 48(7): 0707001
Category: biomedical photonics and laser medicine
Received: Aug. 14, 2020
Accepted: Oct. 10, 2020
Published Online: Mar. 25, 2021
The Author Email: Yu Jingjing (yujj@snnu.edu.com)