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Proceedings Paper

Automated detection of midsagittal plane in MR images of the head
Author(s): Deming Wang; Jonathan B. Chalk; David M. Doddrell; James Semple
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Paper Abstract

A fully automated and robust method is presented for dividing MR 3D images of the human brain into two hemispheres. The method is developed specifically to deal with pathologically affected brains or brains in which the longitudinal fissure (LF) is significantly widened due to ageing or atrophy associated with neuro-degenerative processes. To provide a definitive estimate of the mid- sagittal plane, the method combines longitudinal fissure lines detected in both axial and corona slices of T1- weighted MR images and then fit these lines to a 3D plane. The method was applied to 36 brain MR image data sets (15 of them arising from subjects with probable Alzheimer's disease) all exhibiting some degrees of widened fissures and/or significant asymmetry due to pathology. Visual inspection of the results revealed that the separation was highly accurate and satisfactory. In some cases (5 in total), there were minor degrees of asymmetry in the posterior fossa structures despite successful splitting of cerebral cortex.

Paper Details

Date Published: 3 July 2001
PDF: 11 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431002
Show Author Affiliations
Deming Wang, Univ. of Queensland (Australia)
Jonathan B. Chalk, Univ. of Queensland (Australia)
David M. Doddrell, Univ. of Queensland (Australia)
James Semple, SmithKline Beecham Pharmaceuticals (United Kingdom)

Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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