Title
Automatic whole heart segmentation in static magnetic resonance image volumes.
Abstract
We present a fully automatic segmentation algorithm for the whole heart (four chambers, left ventricular myocardium and trunks of the aorta, the pulmonary artery and the pulmonary veins) in cardiac MR image volumes with nearly isotropic voxel resolution, based on shape-constrained deformable models. After automatic model initialization and reorientation to the cardiac axes, we apply a multi-stage adaptation scheme with progressively increasing degrees of freedom. Particular attention is paid to the calibration of the MR image intensities. Detailed evaluation results for the various anatomical heart regions are presented on a database of 42 patients. On calibrated images, we obtain an average segmentation error of 0.76mm.
Year
DOI
Venue
2007
10.1007/978-3-540-75759-7_49
MICCAI (2)
Keywords
Field
DocType
cardiac mr image volume,automatic model initialization,average segmentation error,mr image intensity,static magnetic resonance image,automatic whole heart segmentation,pulmonary vein,various anatomical heart region,pulmonary artery,cardiac axis,automatic segmentation algorithm,whole heart,degree of freedom,magnetic resonance image
Voxel,Computer vision,Pattern recognition,Pulmonary artery,Segmentation,Computer science,Artificial intelligence,Initialization,Calibration,Aorta,Magnetic resonance imaging,Left ventricular myocardium
Conference
Volume
Issue
ISSN
10
Pt 2
0302-9743
ISBN
Citations 
PageRank 
3-540-75758-9
31
1.89
References 
Authors
17
7
Name
Order
Citations
PageRank
Jochen Peters128425.51
Olivier Ecabert234626.28
Carsten Meyer38312.39
Hauke Schramm414219.94
Reinhard Kneser5951150.50
A Groth6588.80
Jürgen Weese777492.69