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:	Artigo
Language:	Inglês
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
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