Core and penumbra estimation using deep learning-based AIF in association with clinical measures in computed tomography perfusion (CTP)

Core and penumbra estimation using deep learning-based AIF in association with clinical measures in computed tomography perfusion (CTP)

Abstract Objectives To investigate whether utilizing a convolutional neural network (CNN)-based arterial input function (AIF) improves the volumetric estimation of core and penumbra in association with clinical measures in stroke patients. Methods The study included 160 acute ischemic stroke patient...

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Bibliographic Details
Main Authors: Sukhdeep Singh Bal, Fan-pei Gloria Yang, Nai-Fang Chi, Jiu Haw Yin, Tao-Jung Wang, Giia Sheun Peng, Ke Chen, Ching-Chi Hsu, Chang-I Chen
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:Insights into Imaging
Subjects:
Arterial input function
Ischemic stroke
Core
Penumbra
Perfusion parameters
Online Access:https://doi.org/10.1186/s13244-023-01472-z

Internet

https://doi.org/10.1186/s13244-023-01472-z

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