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 r...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.展开更多
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)+6 种基金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).
文摘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.
