1.7k citations · 3.6k across the 20 of their papers we have counts for
20 papers
Geometry-Consistent Discretization of Local Correlation Equations for the Radon Transform in Clinical CT
Xuanqing Mou, Jiayu Duan, Yang Mou
In this work, we extend the local correlation equation (LCE) framework of the 2D Radon transform to clinical computed tomography (CT) geometry and propose a set of geometry-consist…
A CT Geometry With Multiple Centers Of Rotation For Solving Sparse View Problem
Jiayu Duan, Yang Li, Jianmei Cai +1
With the emergence of CNT (Carbon nanotube), static and instant CT scanning becomes possible. By transforming the traditionally rotated thermal source into a static ring array sour…
Exploring the redundancy of Radon transform using a set of partial derivative equations: Could we precisely reconstruct the image from a sparse-view projection without any image prior?
Xuanqin Mou, Jiayu Duan
In this study, we proposed a universal n-th order partial differential equation (PDE) of 2-D Radon transform to disclose the relationship of Radon transform over a neighborhood of…
Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator
Yongyi Shi, Wenjun Xia, Ge Wang +1
Lowering radiation dose per view and utilizing sparse views per scan are two common CT scan modes, albeit often leading to distorted images characterized by noise and streak artifa…
Task-based Assessment of Deep Networks for Sinogram Denoising with A Transformer-based Observer
Yongyi Shi, Ge Wang, Xuanqin Mou
A variety of supervise learning methods are available for low-dose CT denoising in the sinogram domain. Traditional model observers are widely employed to evaluate these methods. H…
AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine
Xi Chen, Jiahuan Lv, Dehua Feng +4
Accurately identifying patient's status through medical images plays an important role in diagnosis and treatment. Artificial intelligence (AI), especially the deep learning, has a…