Perfusion Maps Acquired From Dynamic Angiography <scp>MRI</scp> Using Deep Learning Approaches-Reference-Cited by-同舟云学术

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Perfusion Maps Acquired From Dynamic Angiography MRI Using Deep Learning Approaches

Published:2022-06-21 Issue:2 Volume:57 Page:456-469
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Asaduddin Muhammad¹,Roh Hong Gee²,Kim Hyun Jeong³,Kim Eung Yeop⁴^ORCID,Park Sung‐Hong¹^ORCID

Affiliation:

1. Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology Daejeon South Korea

2. Department of Radiology Konkuk University Medical Center Seoul South Korea

3. Department of Radiology, Daejeon St. Mary's Hospital The Catholic University of Korea Daejeon South Korea

4. Department of Radiology, Samsung Medical Center Sungkyunkwan University College of Medicine Seoul South Korea

Funder

Korea Medical Device Development Fund

National Research Foundation of Korea

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28315

Reference40 articles.

1. The 39 steps: evading error and deciphering the secrets for accurate dynamic susceptibility contrast MRI

2. Imaging of Acute Ischemic Stroke

3. Evaluation of four postprocessing methods for determination of cerebral blood volume and mean transit time by dynamic susceptibility contrast imaging

4. Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix

5. Optimal Definition for PWI/DWI Mismatch in Acute Ischemic Stroke Patients

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SPINNED: Simulation‐based physics‐informed neural network for deconvolution of dynamic susceptibility contrast MRI perfusion data;Magnetic Resonance in Medicine;2024-04-16

2. Redefining Hemodynamic Imaging in Stroke: Perfusion Parameter Map Generation from TOF-MRA using Artificial Intelligence;2023-08-24

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