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Proceedings Paper

Automatic skull-stripping of rat MRI/DTI scans and atlas building
Author(s): Ipek Oguz; Joohwi Lee; Francois Budin; Ashley Rumple; Matthew McMurray; Cindy Ehlers; Fulton Crews; Josephine Johns; Martin Styner
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Paper Abstract

3D Magnetic Resonance (MR) and Diffusion Tensor Imaging (DTI) have become important noninvasive tools for the study of animal models of brain development and neuropathologies. Fully automated analysis methods adapted to rodent scale for these images will allow highthroughput studies. A fundamental first step for most quantitative analysis algorithms is skullstripping, which refers to the segmentation of the image into two tissue categories, brain and non-brain. In this manuscript, we present a fully automatic skull-stripping algorithm in an atlasbased manner. We also demonstrate how to either modify an external atlas or to build an atlas from the population itself to present a self-contained approach. We applied our method to three datasets of rat brain scans, at different ages (PND5, PND14 and adult), different study groups (control, ethanol exposed, intrauterine cocaine exposed), as well as different image acquisition parameters. We validated our method by comparing the automated skull-strip results to manual delineations performed by our expert, which showed a discrepancy of less than a single voxel on average. We thus demonstrate that our algorithm can robustly and accurately perform the skull-stripping within one voxel of the manual delineation, and in a fraction of the time it takes a human expert.

Paper Details

Date Published: 11 March 2011
PDF: 7 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796225 (11 March 2011); doi: 10.1117/12.878405
Show Author Affiliations
Ipek Oguz, Univ. of North Carolina at Chapel Hill (United States)
Joohwi Lee, Univ. of North Carolina (United States)
Francois Budin, Univ. of North Carolina at Chapel Hill (United States)
Ashley Rumple, Univ. of North Carolina at Chapel Hill (United States)
Matthew McMurray, Univ. of North Carolina at Chapel Hill (United States)
Cindy Ehlers, The Scripps Research Institute (United States)
Fulton Crews, Univ. of North Carolina (United States)
Josephine Johns, Univ. of North Carolina at Chapel Hill (United States)
Martin Styner, Univ. of North Carolina at Chapel Hill (United States)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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