19 citations · 59 across the 18 of their papers we have counts for
18 papers
Photoacoustic Tensile Imaging
Daohuai Jiang, Xuanxuan Ye, Hengrong Lan +2
Photoacoustic (PA) imaging combines the high optical absorption contrast of optical imaging with the deep tissue penetration of ultrasound detection, offering great potential for f…
Transcranial Photoacoustic Imaging for Human Intracranial Pressure Evaluation
Ruixi Sun, Hengrong Lan, Yuanyuan Dang +8
Photoacoustic imaging (PAI), by combining high optical contrast with ultrasonic resolution, offers a promising noninvasive approach for dynamic monitoring of cerebral vasculature.…
Score-based Generative Models for Photoacoustic Image Reconstruction with Rotation Consistency Constraints
Shangqing Tong, Hengrong Lan, Liming Nie +2
Photoacoustic tomography (PAT) is a newly emerged imaging modality which enables both high optical contrast and acoustic depth of penetration. Reconstructing images of photoacousti…
Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction
Hengrong Lan, Lijie Huang, Zhiqiang Li +2
Accurate image reconstruction is crucial for photoacoustic (PA) computed tomography (PACT). Recently, deep learning has been used to reconstruct the PA image with a supervised sche…
Size-adjustable Ring-shape Photoacoustic Tomography System
Daohuai Jiang, Yifei Xu, Hengrong Lan +2
Photoacoustic tomography (PAT) combines the advantages of the spectroscopic optical absorption contrast and acoustic resolution with deep penetration, and becomes an important nove…
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…
Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network
Hengrong Lan, Juze Zhang, Changchun Yang +1
Photoacoustic (PA) computed tomography (PACT) shows great potentials in various preclinical and clinical applications. A great number of measurements are the premise that obtains a…
Photoacoustic-monitored laser treatment for tattoo removal: a feasibility study
Yiyun Wang, Daohuai Jiang, Hengrong Lan +2
Skin blemishes and diseases have attracted increasing research interest in recent decades, due to their growing frequency of occurrence and the severity of related diseases. Variou…
AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data
Mengjie Guo, Hengrong Lan, Changchun Yang +1
Photoacoustic (PA) imaging is a biomedical imaging modality capable of acquiring high-contrast images of optical absorption at depths much greater than traditional optical imaging…
Low-Cost Optoacoustic Tomography System with Programmable Acoustic Delay-Line
Daohuai Jiang, Hengrong Lan, Yiyun Wang +2
Photoacoustic tomography (PAT) is an emerging technology for biomedical imaging that combines the superiorities of high optical contrast and acoustic penetration. In the PAT system…
A Jointed Feature Fusion Framework for Photoacoustic Reconstruction
Hengrong Lan, Changchun Yang, Fei Gao
Photoacoustic (PA) computed tomography (PACT) reconstructs the initial pressure distribution from raw PA signals. The standard reconstruction of medical image could cause the artif…
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…
Light-scanning hand-held photoacoustic probe design
Yongjian Zhao, Luyao Zhu, Hengrong Lan +3
Significance: We proposed a new design of hand-held linear-array photoacoustic (PA) probe which can acquire multi images via motor moving. Moreover, images from different locations…
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…
Deep learning for photoacoustic imaging: a survey
Changchun Yang, Hengrong Lan, Feng Gao +1
Machine learning has been developed dramatically and witnessed a lot of applications in various fields over the past few years. This boom originated in 2009, when a new model emerg…
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…