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

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 patients (male...

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Detalles Bibliográficos
Autores principales: Bal, Sukhdeep Singh, Yang, Fan-pei Gloria, Chi, Nai-Fang, Yin, Jiu Haw, Wang, Tao-Jung, Peng, Giia Sheun, Chen, Ke, Hsu, Ching-Chi, Chen, Chang-I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541385/
https://www.ncbi.nlm.nih.gov/pubmed/37775600
http://dx.doi.org/10.1186/s13244-023-01472-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541385/
https://www.ncbi.nlm.nih.gov/pubmed/37775600
http://dx.doi.org/10.1186/s13244-023-01472-z

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