A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography

Author:

Zhang Huijuan,LI HongyuORCID,Nyayapathi NikhilaORCID,Wang Depeng,Le Alisa,Ying LeslieORCID,Xia JunORCID

Funder

areer Catalyst Research

usan G. Komen Foundation

GPU

Nvidia

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference54 articles.

1. Recent advances toward preclinical and clinical translation of photoacoustic tomography: a review;Upputuri;Journal of biomedical optics,2016

2. Time-reversed ultrasonically encoded optical focusing into scattering media;Xu;Nature photonics,2011

3. Photoacoustic tomography: principles and advances;Xia;Electromagnetic waves,2014

4. Multiscale photoacoustic microscopy and computed tomography;Wang;Nature photonics,2009

5. Photoacoustic and thermoacoustic tomography: image formation principles;Wang,2015

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