75 citations · 190 across the 11 of their papers we have counts for
11 papers
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…
Deep Learning Improves Dataset Recovery for High Frame Rate Synthetic Transmit Aperture Imaging
Jingke Zhang, Jianwen Luo
Synthetic transmit aperture (STA) imaging can achieve optimal lateral resolution in the full field of view, at the cost of low frame rate (FR) and low signal-to-noise ratio (SNR).…
A semi-automatic ultrasound image analysis system for the grading diagnosis of COVID-19 pneumonia
Yuanyuan Wang, Yao Zhang, Qiong He +2
This paper proposes a semi-automatic system based on quantitative characterization of the specific image patterns in lung ultrasound (LUS) images, in order to assess the lung condi…
Partial Hadamard Encoded Synthetic Transmit Aperture for High Frame Rate Imaging with Minimal l2-Norm Least Square Method
Jingke Zhang, Jing Liu, Wei Fan +2
Synthetic transmit aperture (STA) ultrasound imaging is well known for ideal focusing in the full field of view. However, it suffers from low signal-to-noise ratio (SNR) and low fr…
A General Framework for Inverse Problem Solving using Self-Supervised Deep Learning: Validations in Ultrasound and Photoacoustic Image Reconstruction
Jingke Zhang, Qiong He, Congzhi Wang +2
The image reconstruction process in medical imaging can be treated as solving an inverse problem. The inverse problem is usually solved using time-consuming iterative algorithms wi…
In Vivo Assessment of Hypertensive Nephrosclerosis Using Ultrasound Localization Microscopy
L. Qiu, J. Zhang, Y. Yang +5
Purpose: As a typical chronic kidney disease (CKD), hypertensive nephrosclerosis (HN) is a common syndrome of hypertension, characterized by chronic kidney microvascular damage. Ea…
Deep image prior for undersampling high-speed photoacoustic microscopy
Tri Vu, Anthony DiSpirito, Daiwei Li +10
Photoacoustic microscopy (PAM) is an emerging imaging method combining light and sound. However, limited by the laser's repetition rate, state-of-the-art high-speed PAM technology…
Guided waves in pre-stressed hyperelastic plates and tubes: Application to the ultrasound elastography of thin-walled soft materials
Guo-Yang Li, Qiong He, Robert Mangan +5
In vivo measurement of the mechanical properties of thin-walled soft tissues (e.g., mitral valve, artery and bladder) and in situ mechanical characterization of thin-walled artific…
Reconstructing undersampled photoacoustic microscopy images using deep learning
Anthony DiSpirito, Daiwei Li, Tri Vu +5
One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed. In this study, we propose a novel applic…
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound
Oren Solomon, Regev Cohen, Yi Zhang +5
Contrast enhanced ultrasound is a radiation-free imaging modality which uses encapsulated gas microbubbles for improved visualization of the vascular bed deep within the tissue. It…