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Proceedings Paper

A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation
Author(s): Jinsong Ren; Beatrix Sneller; Daniel Rueckert; Joseph Hajnal; Rolf Heckemann; Stephen Smith; John Vickers; Derek Hill
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Paper Abstract

Tissue classifications of the MRI brain images can either be obtained by segmenting the images or propagating the segmentations of the atlas to the target image. This paper compares the classification results of the direct segmentation method using FAST with those of the segmentation propagation method using nreg and the MNI Brainweb phantom images. The direct segmentation is carried out by extracting the brain and classifying the tissues by FAST. The segmentation propagation is carried out by registering the Brainweb atlas image to the target images by affine registration, followed by non-rigid registration at different control spacing, then transforming the PVE (partial volume effect) fuzzy membership images of cerebrospinal fluid (CSF), grey matter (GM) and white matter (WM) of the atlas image into the target space respectively. We have compared the running time, reproducibility, global and local differences between the two methods. Direct segmentation is much faster. There is no significant difference in reproducibility between the two techniques. There are significant global volume differences on some tissue types between them. Visual inspection was used to localize these differences. This study had no gold standard segmentations with which to compare the automatic segmentation solutions, but the global and local volume differences suggest that the most appropriate algorithm is likely to be application dependent.

Paper Details

Date Published: 29 April 2005
PDF: 10 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.595146
Show Author Affiliations
Jinsong Ren, King's College London (United Kingdom)
Beatrix Sneller, King's College London (United Kingdom)
Daniel Rueckert, Imperial College London (United Kingdom)
Joseph Hajnal, Imperial College London (United Kingdom)
Rolf Heckemann, Imperial College London (United Kingdom)
Stephen Smith, Univ. of Oxford (United Kingdom)
John Radcliffe Hospital (United Kingdom)
John Vickers, Univ. of Oxford (United Kingdom)
John Radcliffe Hospital (United Kingdom)
Derek Hill, King's College London (United Kingdom)


Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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