activity
20192024
most citedDIR-DBTnet: Deep iterative reconstruction network for 3D digital breast tomosynthesis imaging

19 citations · 29 across the 11 of their papers we have counts for

collaborators

11 papers

physics.med-ph2024

Scatter correction for photon-counting detector based CBCT imaging

Xin Zhang, Ting Su, Jiongtao Zhu +3

Objective: The aim of this study is to validate the effectiveness of an energy-modulated scatter correction method in suppressing scatter in photon-counting detector (PCD)-based co…

physics.med-ph2024★ 1 cited

CBCT scatter correction with dual-layer flat-panel detector

Xin Zhang, Jixiong Xie, Ting Su +7

Background: Recently, the popularity of dual-layer flat-panel detector (DL-FPD) based dual-energy cone-beam CT (DE-CBCT) imaging has been increasing. However, the image quality of…

physics.med-ph2023

Super resolution dual-layer CBCT imaging with model-guided deep learning

Jiongtao Zhu, Ting Su, Xin Zhang +6

Objective: This study aims at investigating a novel super resolution CBCT imaging technique with the dual-layer flat panel detector (DL-FPD). Approach: In DL-FPD based CBCT imaging…

eess.IV2023

Model-driven CT reconstruction algorithm for nano-resolution X-ray phase contrast imaging

Xuebao Cai, Yuhang Tan, Ting Su +5

The low-density imaging performance of a zone plate based nano-resolution hard X-ray computed tomography (CT) system can be significantly improved by incorporating a grating-based…

physics.med-ph2022

Super resolution dual-energy cone-beam CT imaging with dual-layer flat-panel detector

Ting Su, Jiongtao Zhu, Xin Zhang +7

For medical cone-beam computed tomography (CBCT) imaging, the native receptor array of the flat-panel detector (FPD) is usually binned into a reduced matrix size. By doing so, the…

physics.app-ph2022★ 1 cited

CMOS based high-resolution dynamic X-ray imaging with inorganic perovskite

Yanliang Liu, Chaosong Gao, Jiongtao Zhu +13

High-resolution dynamic X-ray detector is crucial for time-resolved digital radiography (DR) imaging and fast 3D medical computed tomography (CT) imaging. Recently, perovskites hav…

physics.med-ph2022★ 1 cited

Dual-domain Attention-based Deep Network for Sparse-view CT Artifact Reduction

Xiang Gao, Ting Su, Jiongtao Zhu +7

Due to the wide applications of X-ray computed tomography (CT) in medical imaging activities, radiation exposure has become a major concern for public health. Sparse-view CT is a p…

physics.med-ph2020★ 1 cited

DIRECT-Net: a unified mutual-domain material decomposition network for quantitative dual-energy CT imaging

Ting Su, Xindong Sun, Yikun Zhang +7

By acquiring two sets of tomographic measurements at distinct X-ray spectra, the dual-energy CT (DECT) enables quantitative material-specific imaging. However, the conventionally d…

physics.med-ph2020★ 19 cited

DIR-DBTnet: Deep iterative reconstruction network for 3D digital breast tomosynthesis imaging

Ting Su, Xiaolei Deng, Zhenwei Wang +5

Purpose: The goal of this study is to develop a novel deep learning (DL) based reconstruction framework to improve the digital breast tomosynthesis (DBT) imaging performance. Metho…

physics.ins-det2020

Estimation of angular sensitivity for X-ray interferometers with multiple phase gratings

Jianwei Chen, Jiecheng Yang, Peiping Zhu +5

Recently, X-ray interferometers with more than one phase grating have been developed for differential phase contrast (DPC) imaging. In this study, a novel framework is developed to…

eess.IV2019★ 6 cited

ROI-Wise Material Decomposition in Spectral Photon-Counting CT

Bingqing Xie, Pei Niu, Ting Su +5

Spectral photon-counting X-ray CT (sCT) opens up new possibilities for the quantitative measurement of materials in an object, compared to conventional energy-integrating CT or dua…