{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T07:15:27Z","timestamp":1776410127117,"version":"3.51.2"},"reference-count":30,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Image Grap."],"published-print":{"date-parts":[[2004,4]]},"abstract":"<jats:p> In order to conduct many non-intrusive clinical studies of the human brain, an accurate model that is capable of extracting the brain matter from magnetic resonance images (MRI) is required. We present a fully automated two-stage procedure to extract the brain matter accurately from a database of T1-weighted, high-quality MRI of healthy subjects. The procedure is initiated using a three dimensional (3D) segmentation process to separate the brain from other anatomical structures. The extracted brain is then subjected to an adaptive filter to remove cerebro-spinal fluid that fills sulcal cavities. The experiments clearly demonstrate the capability of the present technique in accurately peeling the brain. The accuracy of the results is tested using relative gray and white matter concentrations of both simulated and real MR images. <\/jats:p>","DOI":"10.1142\/s0219467804001348","type":"journal-article","created":{"date-parts":[[2004,3,23]],"date-time":"2004-03-23T11:29:26Z","timestamp":1080041366000},"page":"141-156","source":"Crossref","is-referenced-by-count":7,"title":["FULLY AUTOMATED PEELING TECHNIQUE FOR T1-WEIGHTED, HIGH-QUALITY MR HEAD SCANS"],"prefix":"10.1142","volume":"04","author":[{"given":"RAVINDA G. N.","family":"MEEGAMA","sequence":"first","affiliation":[{"name":"Centre for Computer Studies,  University of Sabaragamuwa, P.O. 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