Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Ding, Qiaoqiao"'
The regularized D-bar method is one of the most prominent methods for solving Electrical Impedance Tomography (EIT) problems due to its efficiency and simplicity. It provides a direct approach by applying low-pass filtering to the scattering data in
Externí odkaz:
http://arxiv.org/abs/2407.03335
Finding a transformation between two unknown probability distributions from finite samples is crucial for modeling complex data distributions and performing tasks such as sample generation, domain adaptation and statistical inference. One powerful fr
Externí odkaz:
http://arxiv.org/abs/2308.13815
Low-dose CT (LDCT) imaging attracted a considerable interest for the reduction of the object's exposure to X-ray radiation. In recent years, supervised deep learning (DL) has been extensively studied for LDCT image reconstruction, which trains a netw
Externí odkaz:
http://arxiv.org/abs/2205.00463
Publikováno v:
In Heliyon 30 January 2024 10(2)
Low-dose CT (LDCT) imaging is desirable in many clinical applications to reduce X-ray radiation dose to patients. Inspired by deep learning (DL), a recent promising direction of model-based iterative reconstruction (MBIR) methods for LDCT is via opti
Externí odkaz:
http://arxiv.org/abs/2008.04656
Low dose X-ray computed tomography (LDCT) is desirable for reduced patient dose. This work develops image reconstruction methods with deep learning (DL) regularization for LDCT. Our methods are based on unrolling of proximal forward-backward splittin
Externí odkaz:
http://arxiv.org/abs/1909.09773
Statistical image reconstruction (SIR) methods for X-ray CT produce high-quality and accurate images, while greatly reducing patient exposure to radiation. When further reducing X-ray dose to an ultra-low level by lowering the tube current, photon st
Externí odkaz:
http://arxiv.org/abs/1801.09533
Dual energy CT (DECT) enhances tissue characterization because it can produce images of basis materials such as soft-tissue and bone. DECT is of great interest in applications to medical imaging, security inspection and nondestructive testing. Theore
Externí odkaz:
http://arxiv.org/abs/1710.07028
Autor:
Tang, Xiaoqian, Yu, Yunhai, Ding, Qiaoqiao, Liu, Hong, Niu, Yue, Li, Yan, Zhao, Shigang, Wei, Daimin, Chen, Zi-Jiang
Publikováno v:
In Fertility and Sterility May 2022 117(5):1004-1012
In dynamic imaging, a key challenge is to reconstruct image sequences with high temporal resolution from strong undersampling projections due to a relatively slow data acquisition speed. In this paper, we propose a variational model using the infimal
Externí odkaz:
http://arxiv.org/abs/1707.00158