Impact of Diffusion–Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning

Impact of Diffusion–Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning

We report a study that validates the impact of diffusion-perfusion mismatch in a deep learning (DL) model predicting the final infarction lesion from baseline magnetic resonance imaging (MRI). From 472 consecutive patients with acute ischemic stroke, we gathered baseline and follow-up MRI having int...

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Bibliographic Details
Main Authors: Sungdong Lee, Leonard Sunwoo, Youngwon Choi, Jae Hyup Jung, Seung Chai Jung, Joong-Ho Won
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Magnetic resonance imaging
disgnostic imaging
diffusion-perfusion mismatch
final infarction lesion
image segmentation
U-Net
Online Access:https://ieeexplore.ieee.org/document/9875295/

Internet

https://ieeexplore.ieee.org/document/9875295/

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