Fully Automatic 3D-TEE Segmentation for the Planning of Transcatheter Aortic Valve Implantation

A novel fully automatic framework for aortic valve (AV) trunk segmentation in three-dimensional (3-D) transesophageal echocardiography (TEE) datasets is proposed. The methodology combines a previously presented semiautomatic segmentation strategy by using shape-based B-spline Explicit Active Surface...

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Bibliographic Details
Main Author: Queirós, Sandro Filipe Monteiro (author)
Other Authors: Papachristidis, Alexandros (author), Morais, Pedro André Gonçalves (author), Theodoropoulos, Konstantinos C. (author), Fonseca, Jaime C. (author), Monaghan, Mark J. (author), Vilaça, João L. (author), D’hooge, Jan (author)
Format: article
Language:eng
Published: 2017
Subjects:
Aortic valve (AV) segmentation
Automatic initialization
Fully automatic quantification
Transcatheter aortic valve implantation
3-D transesophageal echocardio-graphy (TEE)
Ciências Médicas::Biotecnologia Médica
Science & Technology
Online Access:http://hdl.handle.net/1822/49658
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/49658

Internet

http://hdl.handle.net/1822/49658

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