Chinese Journal of Lasers, Volume. 48, Issue 15, 1507001(2021)
Speed-of-Sound Heterogeneity Compensation Method in Photoacoustic Computed Tomographic Image Reconstruction
Fig. 2. Experimental results of liver tumor mouse model[31]. (a) Dissected liver with tumor, and arrow points to tumor; (b) PACT result of liver tumor mouse, and arrow points to feeding vessel of tumor; (c) HE staining result of section, and dashed and solid arrows point to normal and tumor regions, respectively; (d) reconstructed result of SoS distribution corresponding to
Fig. 3. Numerical simulation results[53]. (a) Reconstructed IP image by dual-SoS method; (b) reconstructed IP image by conventional FC method; (c) reconstructed IP image by MSFC method; (d) gold standard SoS distribution by the numerical simulation; (e) reconstructed SoS distribution by FC method; (f) reconstructed SoS distribution by MSFC method
Fig. 5. In vivo imaging results(scale bar: 1 mm)[64]. (a) IP image reconstructed by conventional DAS method; (b) IP image reconstructed by APACT method; enlarged results of areas in dotted and solid lines in (c)
Fig. 6. Comparison between FC method and APACT method(scale bar: 1 mm)[64]. (a) IP image reconstructed by FC method with prior knowledge; (b) IP image reconstructed by FC method without prior knowledge; (c) IP image reconstructed by APACT method; (d) in vivo IP image reconstructed by FC method; (e) SoS distribution corresponding to
Fig. 7. Diagrams of SC method, and all images are obtained by numerical simulation. (a) IP reconstructed by SC method; (b) left column is IP reconstruction results of area in dashed box in
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Kexin Deng, Manxiu Cui, Hongzhi Zuo, Xuanhao Wang, Chuangjian Cai, Jianwen Luo, Cheng Ma. Speed-of-Sound Heterogeneity Compensation Method in Photoacoustic Computed Tomographic Image Reconstruction[J]. Chinese Journal of Lasers, 2021, 48(15): 1507001
Category: biomedical photonics and laser medicine
Received: Apr. 7, 2021
Accepted: May. 20, 2021
Published Online: Aug. 12, 2021
The Author Email: Kexin Deng (dkx17@mails.tsinghua.edu.cn), Jianwen Luo (jianwen_luo@mail.tsinghua.edu.cn), Cheng Ma (cheng_ma@mail.tsinghua.edu.cn)