Math @ Duke

Publications [#264838] of Guillermo Sapiro
Papers Published
 Bertalmio, M; Sapiro, G; Randall, G, Region tracking on surfaces deforming via levelsets methods, edited by Nielsen, M; Johansen, P; Olsen, OF; Weickert, J,
Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1682
(January, 1999),
pp. 330338, SPRINGER, ISBN 354066498X [html], [doi]
(last updated on 2019/06/19)
Abstract: © SpringerVerlag Berlin Heidelberg 1999. Since the work by Osher and Sethian on levelsets algorithms for numerical shape evolutions, this technique has been used for a large number of applications in numerous fields. In medical imaging, this numerical technique has been successfully used for example in segmentation and cortex unfolding algorithms. The migration from a Lagrangian im plementation to an Eulerian one via implicit representations or levelsets brought some of the main advantages of the technique, mainly, topology independence and stability. This migration means also that the evolution is parametrization free, and therefore we do not know exactly how each part of the shape is deforming, and the pointwise correspondence is lost. In this note we present a technique to numerically track regions on sur faces that are being deformed using the levelsets method. The basic idea is to represent the region of interest as the intersection of two implicit surfaces, and then track its deformation from the deformation of these surfaces. This technique then solves one of the main shortcomings of the very useful levelsets approach. Applications include lesion localization in medical images, region tracking in functional MRI visualization, and geometric surface mapping.


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