Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed Tomography
Cardiac computed tomography (CT) has emerged as a major imaging modality for the
diagnosis and monitoring of cardiovascular diseases. High temporal resolution is essential …
diagnosis and monitoring of cardiovascular diseases. High temporal resolution is essential …
Suppressing multi-material and streak artifacts with an accelerated 3D iterative image reconstruction algorithm for in-line X-ray phase-contrast computed tomography
Y Zhao, M Zheng, Y Li, S Han, F Li, B Qi, D Liu… - Optics Express, 2022 - opg.optica.org
In-line X-ray phase-contrast computed tomography typically contains two independent
procedures: phase retrieval and computed tomography reconstruction, in which multi …
procedures: phase retrieval and computed tomography reconstruction, in which multi …
Data-driven and model-guided iterative reconstruction framework for simultaneous sparse-view and ring artifact reduction in synchrotron X-ray microtomography
F Li, Y Li, Z Wang, C Ma, D Ji, W Lv, Y He, J Jian… - Optics …, 2025 - opg.optica.org
Synchrotron X-ray microtomography (S-µCT) is a highly valuable technique for investigating
organ function and pathologies. However, its application is often limited by high radiation …
organ function and pathologies. However, its application is often limited by high radiation …
Physics-informed deep neural network reconstruction framework for propagation-based x ray phase-contrast computed tomography with sparse-view projections
Propagation-based phase contrast computed tomography (PB-PCCT) is an effective
technique for three-dimensional visualization of weakly attenuating samples. However, the …
technique for three-dimensional visualization of weakly attenuating samples. However, the …
Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising
Low-dose computed tomography (LDCT) reduces the risks of radiation exposure but
introduces noise and artifacts into CT images. The Feature Pyramid Network (FPN) is a …
introduces noise and artifacts into CT images. The Feature Pyramid Network (FPN) is a …
A deep learning reconstruction framework for low dose phase contrast computed tomography via inter-contrast enhancement
C Zhang, G Zhu, J Fu, G Zhao - Measurement, 2023 - Elsevier
Phase contrast computed tomography (PCCT) offers excellent imaging contrast on soft
tissue while it generate absorption, phase and dark-field contrast tomographic images. It has …
tissue while it generate absorption, phase and dark-field contrast tomographic images. It has …
Automated Scene Classification in Endoscopy Videos Using Convolutional Neural Networks
Endoscopy serves as a vital diagnostic tool in medical imaging, particularly in the
examination of the esophagus, stomach, and intestines. This paper introduces a two-stage …
examination of the esophagus, stomach, and intestines. This paper introduces a two-stage …