VWI-APP: Vessel wall imaging-dedicated automated processing pipeline for intracranial atherosclerotic plaque quantification.

Zhou, Hanyue; Xiao, Jiayu; Ganesh, Siddarth; Lerner, Alexander; Ruan, Dan; Fan, Zhaoyang

VWI-APP: Vessel wall imaging-dedicated automated processing pipeline for intracranial atherosclerotic plaque quantification.

Zhou, Hanyue; Xiao, Jiayu; Ganesh, Siddarth; Lerner, Alexander; Ruan, Dan; Fan, Zhaoyang.

Afiliação

Zhou H; Department of Bioengineering, University of California, Los Angeles, California, USA.
Xiao J; Department of Radiology, University of Southern California, Los Angeles, California, USA.
Ganesh S; Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA.
Lerner A; Department of Radiology, University of Southern California, Los Angeles, California, USA.
Ruan D; Department of Bioengineering, University of California, Los Angeles, California, USA.
Fan Z; Department of Radiation Oncology, University of California, Los Angeles, California, USA.

Med Phys ; 50(3): 1496-1506, 2023 Mar.

Article em En | MEDLINE | ID: mdl-36345580

Assuntos

Arteriosclerose Intracraniana; Placa Aterosclerótica; Humanos; Estudos Retrospectivos; Imageamento Tridimensional/métodos; Imageamento por Ressonância Magnética/métodos; Angiografia por Ressonância Magnética/métodos; Placa Aterosclerótica/diagnóstico por imagem; Arteriosclerose Intracraniana/diagnóstico por imagem

Palavras-chave

MRI; centerline tracking; deep learning; intracranial plaque quantification; vessel wall imaging; vessel wall segmentation

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arteriosclerose Intracraniana / Placa Aterosclerótica Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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