The feasibility investigation of AI -assisted compressed sensing in kidney MR imaging: an ultra-fast T2WI imaging technology
Object: To explore the feasibility and clinical application of AI -assisted compressed sensing (ACS) technology in kidney MR imaging. Methods: 33 patients were enrolled in this study, affiliated to our hospital from September 2020 to April 2021. The patients underwent T2-weighed sequences of both th...
Main Authors: | Liang, X. (Author), Meng, X. (Author), Peng, C. (Author), Wang, S. (Author), Zhao, Y. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
BioMed Central Ltd
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
Evaluation of zero-echo-time attenuation correction for integrated PET/MR brain imaging—comparison to head atlas and 68Ge-transmission-based attenuation correction
by: João M. Sousa, et al.
Published: (2018-10-01) -
Synchronous primary tumors of the kidney and the ovaries: Imaging findings
by: Athina C Tsili, et al.
Published: (2008-11-01) -
Imaging With WiFi
by: Stavros Vakalis, et al.
Published: (2019-01-01) -
Optimized Breath-Hold Compressed-Sensing 3D MR Cholangiopancreatography at 3T: Image Quality Analysis and Clinical Feasibility Assessment
by: Ji Soo Song, et al.
Published: (2020-06-01) -
Optimization of Fast MR Imaging Technologies using the Case-PDM to Quantitatively Assess Image Quality
by: Miao, Jun
Published: (2013)