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Proceedings Paper

New approaches for measuring changes in the cortical surface using an automatic reconstruction algorithm
Author(s): Dzung L. Pham; Xiao Han; Maryam E. Rettmann; Chenyang Xu; Duygu Tosun; Susan Resnick; Jerry L. Prince
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Paper Abstract

In previous work, the authors presented a multi-stage procedure for the semi-automatic reconstruction of the cerebral cortex from magnetic resonance images. This method suffered from several disadvantages. First, the tissue classification algorithm used can be sensitive to noise within the image. Second, manual interaction was required for masking out undesired regions of the brain image, such as the ventricles and putamen. Third, iterated median filters were used to perform a topology correction on the initial cortical surface, resulting in an overly smoothed initial surface. Finally, the deformable surface used to converge to the cortex had difficulty capturing narrow gyri. In this work, all four disadvantages of the procedure have been addressed. A more robust tissue classification algorithm is employed and the manual masking step is replaced by an automatic method involving level set deformable models. Instead of iterated median filters, an algorithm developed specifically for topology correction is used. The last disadvantage is addressed using an algorithm that artificially separates adjacent sulcal banks. The new procedure is more automated but also more accurate than the previous one. Its utility is demonstrated by performing a preliminary study on data from the Baltimore Longitudinal Study of Aging.

Paper Details

Date Published: 9 May 2002
PDF: 10 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467145
Show Author Affiliations
Dzung L. Pham, NIA/National Institutes of Health (United States)
Xiao Han, Johns Hopkins Univ. (United States)
Maryam E. Rettmann, Johns Hopkins Univ. (United States)
Chenyang Xu, Siemens Corporate Research, Inc. (United States)
Duygu Tosun, Johns Hopkins Univ. (United States)
Susan Resnick, NIA/National Institutes of Health (United States)
Jerry L. Prince, Johns Hopkins Univ. (United States)


Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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