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Proceedings Paper

Surface simplification for shape measurement: application to the human brain
Author(s): Andy Castellano Smith; Derek L.G. Hill; David John Hawkes; C. E. Polkey; T. C.S. Cox
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Paper Abstract

Studies of shape, degree of folding and variability of the surface of the brain can be found as early as 1967. Measuring shape and degree of folding from radiological images is, however, a relatively recent development. Our objective is to develop a framework for the study of the shape and geometric properties of the brain surface from radiological images for the purposes of studying abnormalities of cortical folding. The construction of an explicit surface model allows the calculation of local measures of intrinsic curvature and folding, and provides a means of studying connectivity and shape variation. To speed up these calculations, we have developed a surface simplification method for discrete data representing surfaces derived from MR images. This method facilitates the calculation of these measures of interest while preserving the essential features of the surface in high curvature regions.

Paper Details

Date Published: 24 June 1998
PDF: 11 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310943
Show Author Affiliations
Andy Castellano Smith, United Medical & Dental Schools Guy's Hospital (United Kingdom)
Derek L.G. Hill, United Medical & Dental Schools Guy's Hospital (United Kingdom)
David John Hawkes, United Medical & Denta Schools Guy's Hospital (United Kingdom)
C. E. Polkey, King's College Hospital (United Kingdom)
T. C.S. Cox, King's College Hospital (United Kingdom)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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