Aortic valve tract segmentation from 3D-TEE using shape-based B-spline explicit active surfaces

A novel semi-automatic algorithm for aortic valve (AV) wall segmentation is presented for 3D transesophageal echocardiography (TEE) datasets. The proposed methodology uses a 3D cylindrical formulation of the B-spline Explicit Active Surfaces (BEAS) framework in a dual-stage energy evolution process,...

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Bibliographic Details
Main Author: Queirós, Sandro Filipe Monteiro (author)
Other Authors: Papachristidis, Alexandros (author), Barbosa, Daniel Joaquim Cunha (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: 2016
Subjects:
Image segmentation
Valves
Shape
Splines (mathematics)
Three-dimensional displays
Surface morphology
Imaging
3D transesophageal echocardiography
aortic valve segmentation
B-spline explicit active surfaces
profile-based statistical shape model
Ciências Médicas::Medicina Básica
Science & Technology
Online Access:http://hdl.handle.net/1822/45071
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/45071

Internet

http://hdl.handle.net/1822/45071

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