Publication Type Academic Article
Authors Razlighi Q, Stern Y
Journal Annu Int Conf IEEE Eng Med Biol Soc
Volume 2011
Pagination 7799-802
Date Published 01/01/2011
ISSN 2694-0604
Keywords Algorithms, Brain, Image Processing, Computer-Assisted, Magnetic Resonance Imaging
Abstract The cerebral cortex of the human brain is highly folded. It is useful for neuroscientists and clinical researchers to identify and/or quantify cortical folding patterns across individuals. The top (gyri) and bottom (sulci) of these folds resemble the "blob-like" features used in computer vision. In this article, we evaluate different blob detectors and descriptors on brain MR images, and introduce our own, the "brain blob detector and descriptor (BBDD)." For the first time blob detectors are considered as spatial filters under the scale-space framework and their impulse responses are manipulated for detecting the structures in our interest. The BBDD detector is tailored to the scale and structure of blob-like features that coincide with cortical folds, and its descriptors performed well at discriminating these features in our evaluation.
DOI 10.1109/IEMBS.2011.6091922
PubMed ID 22256147
PubMed Central ID PMC3971468
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