Automated identification of pulmonary arteries and veins depicted in non-contrast chest CT scans.

Pu, Jiantao; Leader, Joseph K; Sechrist, Jacob; Beeche, Cameron A; Singh, Jatin P; Ocak, Iclal K; Risbano, Michael G

Pu, Jiantao; Leader, Joseph K; Sechrist, Jacob; Beeche, Cameron A; Singh, Jatin P; Ocak, Iclal K; Risbano, Michael G.

Affiliation

Pu J; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States of America; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, United States of America. Electronic address: puj@upmc.edu.
Leader JK; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States of America.
Sechrist J; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States of America.
Beeche CA; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States of America.
Singh JP; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States of America.
Ocak IK; Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, United States of America.
Risbano MG; Division of Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States of America.

Med Image Anal ; 77: 102367, 2022 04.

Article in En | MEDLINE | ID: mdl-35066393

Subject(s)
Key words

Artery; Computed tomography; Deep learning; Differential geometry; Vein

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pulmonary Artery / Tomography, X-Ray Computed Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article Country of publication: Países Bajos

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