Myocardial segmentation based on coronary anatomy using coronary computed tomography angiography: Development and validation in a pig model

Objectives To validate a method for performing myocardial segmentation based on coronary anatomy using coronary CT angiography (CCTA). Methods Coronary artery-based myocardial segmentation (CAMS) was developed for use with CCTA. To validate and compare this method with the conventional American Hear...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European radiology 2017-10, Vol.27 (10), p.4044-4053
Hauptverfasser: Chung, Mi Sun, Yang, Dong Hyun, Kim, Young-Hak, Kang, Soo-Jin, Jung, Joonho, Kim, Namkug, Heo, Seung-Ho, Baek, Seunghee, Seo, Joon Beom, Choi, Byoung Wook, Kang, Joon-Won, Lim, Tae-Hwan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Objectives To validate a method for performing myocardial segmentation based on coronary anatomy using coronary CT angiography (CCTA). Methods Coronary artery-based myocardial segmentation (CAMS) was developed for use with CCTA. To validate and compare this method with the conventional American Heart Association (AHA) classification, a single coronary occlusion model was prepared and validated using six pigs. The unstained occluded coronary territories of the specimens and corresponding arterial territories from CAMS and AHA segmentations were compared using slice-by-slice matching and 100 virtual myocardial columns. Results CAMS more precisely predicted ischaemic area than the AHA method, as indicated by 95% versus 76% ( p  
ISSN:0938-7994
1432-1084
DOI:10.1007/s00330-017-4793-0