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Incorporation of a tuning weight in particular adds a probabilistic flavor to our segmentation method, and makes the 3\u2010tissue segmentation possible. Moreover, we proposed a novel method to jointly segment the T<jats:sub>1<\/jats:sub>\u2010Map and calibrate RF Inhomogeneity (JSRIC). This method assumes the<jats:italic>average<\/jats:italic>T<jats:sub>1<\/jats:sub>value of white matter is the same across transverse slices in the central brain region, and JSRIC is able to rectify the flip angles to generate calibrated T<jats:sub>1<\/jats:sub>\u2010Maps. In order to generate an accurate T<jats:sub>1<\/jats:sub>\u2010Map, the determination of optimal flip\u2010angles and the registration of flip\u2010angle images are examined. Our JSRIC method is validated on two human subjects in the 2D T<jats:sub>1<\/jats:sub>\u2010Map modality and our segmentation method is validated by two public databases, BrainWeb and IBSR, of T<jats:sub>1<\/jats:sub>\u2010weighted modality in the 3D setting.<\/jats:p>","DOI":"10.1155\/2009\/269525","type":"journal-article","created":{"date-parts":[[2009,8,23]],"date-time":"2009-08-23T15:00:13Z","timestamp":1251039613000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Joint Brain Parametric T<sub>1<\/sub>\u2010Map Segmentation and RF Inhomogeneity Calibration"],"prefix":"10.1155","volume":"2009","author":[{"given":"Ping-Feng","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R. 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