Segmenting Cervical Arteries in Phase Contrast Magnetic Resonance Imaging Using Convolutional Encoder–Decoder Networks

Segmenting Cervical Arteries in Phase Contrast Magnetic Resonance Imaging Using Convolutional Encoder–Decoder Networks

Phase contrast (PC) magnetic resonance imaging (MRI) is a primary method used to quantify blood flow. Cerebral blood flow (CBF) is an important hemodynamic parameter to characterize cerebrovascular and neurological diseases. However, a critical step in CBF quantification using PC MRI is vessel segme...

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Bibliographic Details
Main Authors: Britney Campbell, Dhruv Yadav, Ramy Hussein, Maria Jovin, Sierrah Hoover, Kim Halbert, Dawn Holley, Mehdi Khalighi, Guido A. Davidzon, Elizabeth Tong, Gary K. Steinberg, Michael Moseley, Moss Y. Zhao, Greg Zaharchuk
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
deep learning
phase contrast MRI
blood flow
Moyamoya
Online Access:https://www.mdpi.com/2076-3417/13/21/11820

Internet

https://www.mdpi.com/2076-3417/13/21/11820

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