Robust space-time extraction of ventricular surface evolution using multiphase level sets

Corina S. Drapaca; Valerie Cardenas; Colin Studholme

doi:10.1117/12.535644

12 May 2004 Robust space-time extraction of ventricular surface evolution using multiphase level sets

Corina S. Drapaca, Valerie Cardenas, Colin Studholme

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.535644
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

This paper focuses on the problem of accurately extracting the CSF-tissue boundary, particularly around the ventricular surface, from serial structural MRI of the brain acquired in imaging studies of aging and dementia. This is a challenging problem because of the common occurrence of peri-ventricular lesions which locally alter the appearance of white matter. We examine a level set approach which evolves a four dimensional description of the ventricular surface over time. This has the advantage of allowing constraints on the contour in the temporal dimension, improving the consistency of the extracted object over time. We follow the approach proposed by Chan and Vese which is based on the Mumford and Shah model and implemented using the Osher and Sethian level set method. We have extended this to the 4 dimensional case to propagate a 4D contour toward the tissue boundaries through the evolution of a 5D implicit function. For convergence we use region-based information provided by the image rather than the gradient of the image. This is adapted to allow intensity contrast changes between time frames in the MRI sequence. Results on time sequences of 3D brain MR images are presented and discussed.

Citation Download Citation

Corina S. Drapaca, Valerie Cardenas, and Colin Studholme "Robust space-time extraction of ventricular surface evolution using multiphase level sets", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.535644

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KEYWORDS

Image segmentation

Magnetic resonance imaging

Brain

Neuroimaging

Tissues

Interfaces

Image resolution

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