Image reconstruction from photoacoustic projections  

作　　者：Chao Tian Kang Shen Wende Dong Fei Gao Kun Wang Jiao Li Songde Liu Ting Feng Chengbo Liu Changhui Li Meng Yang Sheng Wang Jie Tian 

机构地区：[1]Institute of Artificial Intelligence,Hefei Comprehensive National Science Center,Hefei,China [2]School of Engineering Science,University of Science and Technology of China,Hefei,China [3]Department of Anesthesiology,the First Affiliated Hospital of USTC,Division of Life Sciences and Medicine,University of Science and Technology of China,Hefei,China [4]Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing,Hefei,China [5]College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,China [6]School of Information Science and Technology,ShanghaiTech University,Shanghai,China [7]Shanghai Clinical Research and Trial Center,Shanghai,China [8]CAS Key Laboratory of Molecular Imaging,Institute of Automation,Chinese Academy of Sciences,Beijing,China [9]School of Precision Instruments and Optoelectronics Engineering,Tianjin University,Tianjin,China [10]Academy for Engineering and Technology,Fudan University,Shanghai,China [11]Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China [12]Department of Biomedical Engineering,College of Future Technology,Peking University,Beijing,China [13]National Biomedical Imaging Center,Peking University,Beijing,China [14]Departments of Ultrasound,State Key Laboratory of Complex Severe and Rare Diseases,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing,China [15]School of Engineering Medicine,Beihang University,Beijing,China [16]Key Laboratory of Big Data-Based Precision Medicine,Beihang University,Ministry of Industry and Information Technology,Beijing,China

出　　处：《Photonics Insights》2024年第3期145-209,共65页光子学评论（英文）

基　　金：supported by the National Natural Science Foundation of China(Nos.62122072,12174368,61705216,61905112,82171989,62235013,62325112,U22A2023,81771880,and 62405306);the National Key Research and Development Program of China(No.2022YFA1404400);the Anhui Provincial Department of Science and Technology(Nos.202203a07020020 and 18030801138);the Anhui Provincial Department of Education(No.2022jyxm1836);the Anhui Provincial Natural Science Foundation(No.2308085QA21);the Shanghai Clinical Research and Trial Center(No.2022A0305-418-02);the National High Level Hospital Clinical Research Funding(No.2022-PUMCH-C-009);the University of Science and Technology of China(Nos.YD2090002015 and 2022xjyxm027);the Institute of Artificial Intelligence at Hefei Comprehensive National Science Center(No.23YGXT005).

摘　　要：Photoacoustic computed tomography(PACT)is a rapidly developing biomedical imaging modality and has attracted substantial attention in recent years.Image reconstruction from photoacoustic projections plays a critical role in image formation in PACT.Here we review six major classes of image reconstruction approaches developed in the past three decades,including delay and sum,filtered back projection,series expansion,time reversal,iterative reconstruction,and deep-learning-based reconstruction.The principal ideas and implementations of the algorithms are summarized,and their reconstruction performances under different imaging scenarios are compared.Major challenges,future directions,and perspectives for the development of image reconstruction algorithms in PACT are also discussed.This review provides a self-contained reference guide for beginners and specialists in the photoacoustic community,to facilitate the development and application of novel photoacoustic image reconstruction algorithms.

关 键 词：optical imaging photoacoustic tomography image reconstruction deep learning 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]