Segmentation techniques of brain arteriovenous malformations for 3D visualization: a systematic review.

Colombo, Elisa; Fick, Tim; Esposito, Giuseppe; Germans, Menno; Regli, Luca; van Doormaal, Tristan

Colombo, Elisa; Fick, Tim; Esposito, Giuseppe; Germans, Menno; Regli, Luca; van Doormaal, Tristan.

Afiliação

Colombo E; Department of Neurosurgery, Clinical Neuroscience Center and University of Zürich, University Hospital Zurich, Frauenklinikstrasse 10, 8091, Zürich, ZH, Switzerland. Elisa.colombo@usz.ch.
Fick T; Prinses Màxima Center, Department of Neurosurgery, Utrecht, CS, The Netherlands.
Esposito G; Department of Neurosurgery and Clinical Neuroscience Centerentrum, University Hospital of Zurich, Zürich, ZH, Switzerland.
Germans M; Department of Neurosurgery and Clinical Neuroscience Centerentrum, University Hospital of Zurich, Zürich, ZH, Switzerland.
Regli L; Department of Neurosurgery and Clinical Neuroscience Centerentrum, University Hospital of Zurich, Zürich, ZH, Switzerland.
van Doormaal T; Department of Neurosurgery and Clinical Neuroscience Centerentrum, University Hospital of Zurich, Zürich, ZH, Switzerland.

Radiol Med ; 127(12): 1333-1341, 2022 Dec.

Article em En | MEDLINE | ID: mdl-36255659

Assuntos

Imageamento Tridimensional; Malformações Arteriovenosas Intracranianas; Humanos; Imageamento Tridimensional/métodos; Malformações Arteriovenosas Intracranianas/diagnóstico por imagem; Malformações Arteriovenosas Intracranianas/patologia; Algoritmos; Encéfalo/patologia; Imageamento por Ressonância Magnética

Palavras-chave

Augmented reality; Blood vessel delineation; Cerebral arteriovenous malformation; Cerebrovascular surgery; Segmentation

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Malformações Arteriovenosas Intracranianas / Imageamento Tridimensional Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google