19 citations · 62 across the 18 of their papers we have counts for
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Deep Learning Adapted Acceleration for Limited-view Photoacoustic Computed Tomography
Hengrong Lan, Jiali Gong, Fei Gao
Photoacoustic imaging (PAI) is a non-invasive imaging modality that detects the ultrasound signal generated from tissue with light excitation. Photoacoustic computed tomography (PA…
Limited-view Photoacoustic Imaging Reconstruction With Dual Domain Inputs Under Mutual Information Constraint
Jiadong Zhang, Hengrong Lan, Changchun Yang +3
Based on photoacoustic effect, photoacoustic tomography is developing very fast in recent years, and becoming an important imaging tool for both preclinical and clinical studies. W…
Deep Learning Enables Robust and Precise Light Focusing on Treatment Needs
Changchun Yang, Hengrong Lan, Fei Gao
If light passes through the body tissues, focusing only on areas where treatment needs, such as tumors, will revolutionize many biomedical imaging and therapy technologies. So how…
Portable probe design for photoacoustic imaging in vivo
Yongjian Zhao, Shaohui Yu, Luyao Zhu +4
A low-cost adjustable illumination scheme for hand-held photoacoustic imaging probe is presented, manufactured and tested in this paper. Compared with traditional photoacoustic pro…
Deep Learning Enabled Real-Time Photoacoustic Tomography System via Single Data Acquisition Channel
Hengrong Lan, Daohuai Jiang, Feng Gao +1
Photoacoustic computed tomography (PACT) combines the optical contrast of optical imaging and the penetrability of sonography. In this work, we develop a novel PACT system to provi…
Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo
Hengrong Lan, Daohuai Jiang, Changchun Yang +1
Photoacoustic imaging (PAI) is an emerging non-invasive imaging modality combining the advantages of deep ultrasound penetration and high optical contrast. Image reconstruction is…