Blob-like feature extraction and matching for brain MR images.

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