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Proceedings Paper

Robust registration between cardiac MRI images and atlas for segmentation propagation
Author(s): X. Zhuang; D. J. Hawkes; W. R. Crum; R. Boubertakh; S. Uribe; D. Atkinson; P. Batchelor; T. Schaeffter; R. Razavi; D. L. G. Hill
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Paper Abstract

We propose a new framework to propagate the labels in a heart atlas to the cardiac MRI images for ventricle segmentations based on image registrations. The method employs the anatomical information from the atlas as priors to constrain the initialisation between the atlas and the MRI images using region based registrations. After the initialisation which minimises the possibility of local misalignments, a fluid registration is applied to fine-tune the labelling in the atlas to the detail in the MRI images. The heart shape from the atlas does not have to be representative of that of the segmented MRI images in terms of morphological variations of the heart in this framework. In the experiments, a cadaver heart atlas and a normal heart atlas were used to register to in-vivo data for ventricle segmentation propagations. The results have shown that the segmentations based on the proposed method are visually acceptable, accurate (surface distance against manual segmentations is 1.0 ± 1.0 mm in healthy volunteer data, and 1.6 ± 1.8 mm in patient data), and reproducible (0.7 ± 1.0 mm) for in-vivo cardiac MRI images. The experiments also show that the new initialisation method can correct the local misalignments and help to avoid producing unrealistic deformations in the nonrigid registrations with 21% quantitative improvement of the segmentation accuracy.

Paper Details

Date Published: 11 March 2008
PDF: 11 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 691408 (11 March 2008); doi: 10.1117/12.769445
Show Author Affiliations
X. Zhuang, Univ. College London (United Kingdom)
D. J. Hawkes, Univ. College London (United Kingdom)
W. R. Crum, Univ. College London (United Kingdom)
R. Boubertakh, King's College London (United Kingdom)
S. Uribe, King's College London (United Kingdom)
D. Atkinson, Univ. College London (United Kingdom)
P. Batchelor, King's College London (United Kingdom)
T. Schaeffter, King's College London (United Kingdom)
R. Razavi, King's College London (United Kingdom)
D. L. G. Hill, Univ. College London (United Kingdom)


Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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