Title
Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion
Abstract
Accurate segmentation of the whole heart from 3D image sequences is an important step in the developement of clinical applications. As manual delineation is a tedious task that is prone to errors and dependant on the expertise of the observer, fully automated segmentation methods are highly desirable. In this work, we present a fully automated method for the segmentation of the whole heart and the great vessels from 3D images. The method is based on a muti-atlas propagation segmentation scheme, that has been proven to be succesful in brain segmentation. Based on a cross correlation metric, our method selects the best atlases for propagation allowing the refinement of the segmentation at each iteration of the propagation. We show that our method allows segmentation from multiple image modalities by validating it on computed tomography angiography (CTA) and magnetic resonance images (MRI). Our results are comparable to state-of-the-art methods on CTA and MRI with average Dice scores of 90.9% and 89.0% for the whole heart when evaluated on a 23 and 8 cases, respectively.
Year
DOI
Venue
2013
10.1007/978-3-642-38899-6_21
FIMH
Keywords
Field
DocType
local normalised correlation coefficient,image sequence,automated method,muti-atlas propagation segmentation scheme,automated segmentation method,accurate segmentation,multiple image modality,whole heart segmentation,whole heart,magnetic resonance image,brain segmentation,state-of-the-art method
Cross-correlation,Brain segmentation,Correlation coefficient,Data mining,Scale-space segmentation,Pattern recognition,Computed tomography angiography,Segmentation,Computer science,Free-form deformation,Artificial intelligence,Magnetic resonance imaging
Conference
Volume
ISSN
Citations 
7945
0302-9743
20
PageRank 
References 
Authors
0.97
12
4
Name
Order
Citations
PageRank
Maria A. Zuluaga127925.84
Cardoso M. Jorge26413.70
Marc Modat389872.33
Sébastien Ourselin42499237.61