CT-based True- and False-Lumen Segmentation in Type B Aortic Dissection Using Machine Learning

PURPOSE: To develop a segmentation pipeline for segmentation of aortic dissection CT angiograms into true and false lumina on multiplanar reformations (MPRs) perpendicular to the aortic centerline and derive quantitative morphologic features, specifically aortic diameter and true- or false-lumen cro...

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Detalhes bibliográficos
Publicado no:Radiol Cardiothorac Imaging
Main Authors: Hahn, Lewis D., Mistelbauer, Gabriel, Higashigaito, Kai, Koci, Martin, Willemink, Martin J., Sailer, Anna M., Fischbein, Michael, Fleischmann, Dominik
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2020
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7977949/
https://ncbi.nlm.nih.gov/pubmed/33778582
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryct.2020190179
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