Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Liu, Yingmin"'
Autor:
Chen, Chong, Liu, Yingmin, Ding, Yu, Tong, Matthew, Chandrasekaran, Preethi, Crabtree, Christopher, Arshad, Syed M., Han, Yuchi, Ahmad, Rizwan
Background: Accelerated real-time cine (RT-Cine) imaging enables cardiac function assessment without the need for breath-holding. However, when performed during in-magnet exercise, RT-Cine images may exhibit significant motion artifacts. Methods: By
Externí odkaz:
http://arxiv.org/abs/2405.16715
Autor:
Chandrasekaran, Preethi, Chen, Chong, Liu, Yingmin, Arshad, Syed Murtaza, Crabtree, Christopher, Tong, Matthew, Han, Yuchi, Ahmad, Rizwan
Background: Cardiovascular magnetic resonance imaging (CMR) is a wellestablished imaging tool for diagnosing and managing cardiac conditions. The integration of exercise stress with CMR (ExCMR) can enhance its diagnostic capacity. Despite recent adva
Externí odkaz:
http://arxiv.org/abs/2402.17877
High-quality training data are not always available in dynamic MRI. To address this, we propose a self-supervised deep learning method called deep image prior with structured sparsity (DISCUS) for reconstructing dynamic images. DISCUS is inspired by
Externí odkaz:
http://arxiv.org/abs/2312.00953
Autor:
Arshad, Syed M., Potter, Lee C., Chen, Chong, Liu, Yingmin, Chandrasekaran, Preethi, Crabtree, Christopher, Tong, Matthew S., Simonetti, Orlando P., Han, Yuchi, Ahmad, Rizwan
Publikováno v:
Magnetic Resonance in Medicine 92(3) (2024) 1248-1262
PURPOSE: To present and assess an outlier mitigation method that makes free-running volumetric cardiovascular MRI (CMR) more robust to motion. METHODS: The proposed method, called compressive recovery with outlier rejection (CORe), models outliers in
Externí odkaz:
http://arxiv.org/abs/2308.02088
For an effective application of compressed sensing (CS), which exploits the underlying compressibility of an image, one of the requirements is that the undersampling artifact be incoherent (noise-like) in the sparsifying transform domain. For cardiov
Externí odkaz:
http://arxiv.org/abs/2206.03630
Autor:
Chen, Chong, Liu, Yingmin, Simonetti, Orlando P., Tong, Matthew, Jin, Ning, Bacher, Mario, Speier, Peter, Ahmad, Rizwan
Background: Several studies have shown that both respiratory and cardiac motion can be extracted from the Pilot Tone (PT) signal successfully. However, most of these studies were performed in healthy volunteers. In addition, validating PT using ECG a
Externí odkaz:
http://arxiv.org/abs/2202.00055
Autor:
Wang, Yang, Xiao, Dongkun, Zhang, Dongxiang, Liu, Yingmin, Sun, Minglong, Sun, Mojie, Li, Jian
Publikováno v:
In Journal of Alloys and Compounds 25 October 2024 1003
Autor:
Xiao, Dongkun, Wang, Yang, Zhang, Dongxiang, Liu, Yingmin, Wang, Haoran, Li, Yalin, Wei, Huizhen, Wang, Shijie, Sun, Minglong, Sun, Mojie
Publikováno v:
In Ceramics International 1 May 2024 50(9) Part B:15767-15779
Autor:
Wang, Yang, Li, Jian, Xiao, Dongkun, Zhang, Dongxiang, Liu, Yingmin, Sun, Minglong, Chen, Shili, Sun, Mojie
Publikováno v:
In Ceramics International August 2024
Purpose: To develop a fully automatic method for extraction and directionality determination of respiratory signal in free-breathing, real-time (RT) cardiac MRI. Methods: The respiratory signal is extracted by a principal component analysis method fr
Externí odkaz:
http://arxiv.org/abs/2012.02828