Tag: in vivo

DEEP LEARNING ENABLED REAL-TIME PHOTOACOUSTIC TOMOGRAPHY SYSTEM VIA SINGLE DATA ACQUISITION CHANNEL

Author(s): Hengrong Lan, Daohuai Jiang, Feng Gao, Fei Gao ABSTRACT 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 provide real-time imaging, which is achieved by a 120-elements ultrasound array only using a single data acquisition (DAQ) channel. To reduce the channel number of DAQ, we superimpose 30 nearby […]

Y-NET: HYBRID DEEP LEARNING IMAGE RECONSTRUCTION FOR PHOTOACOUSTIC TOMOGRAPHY IN VIVO

Author(s): Hengrong Lan, Daohuai Jiang, Changchun Yang, Feng Gao, Fei Gao ABSTRACT Conventional reconstruction algorithms (e.g., delay-and-sum) used in photoacoustic imaging (PAI) provide a fast solution while many artifacts remain, especially for limited-view with ill-posed problem. In this paper, we propose a new convolutional neural network (CNN) framework Y-Net: a CNN architecture to reconstruct the initial PA pressure distribution by optimizing both raw data and beamformed images […]

DUAL-SCAN PHOTOACOUSTIC TOMOGRAPHY FOR THE IMAGING OF VASCULAR STRUCTURE ON FOOT

Author(s): Chuqin Huang, Yanda Cheng, Wenhan Zheng, Robert W Bing, Huijuan Zhang, Isabel Komornicki, Linda M Harris, Praveen R Arany, Saptarshi Chakraborty, Qifa Zhou, Wenyao Xu, Jun Xia ABSTRACT Chronic leg ulcers are affecting approximately 6.5 million Americans, and they are associated with significant mortality, reduced quality of life, and high treatment costs. Since many […]