Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration. (13th July 2009)

• Record Type: Journal Article
• Authors: Chen, Ping-Feng; Steen, R. Grant; Yezzi, Anthony; Krim, Hamid
• Other Names: Zaidi Habib Academic Editor.
• Is Part Of: International journal of biomedical imaging. Volume 2009(2009)
• Publication Date: 2009-07-13
• Subjects: Diagnostic imaging -- Periodicals; Imaging systems in medicine -- Periodicals; Imagerie pour le diagnostic; Imagerie médicale; Diagnostic imaging; Imaging systems in medicine; Diagnostic Imaging -- Periodicals; Electronic journals; Periodicals; 616.0754
• DOI: 10.1155/2009/269525
• Languages: English
• ISSNs: 1687-4188

Abstract

Abstract : We propose a constrained version of Mumford and Shah's (1989) segmentation model with an information-theoretic point of view in order to devise a systematic procedure to segment brain magnetic resonance imaging (MRI) data for parametricT 1 -Map andT 1 -weighted images, in both 2-D and 3D settings. Incorporation of a tuning weight in particular adds a probabilistic flavor to our segmentation method, and makes the 3-tissue segmentation possible. Moreover, we proposed a novel method to jointly segment theT 1 -Map and calibrate RF Inhomogeneity (JSRIC). This method assumes the average T 1 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 calibratedT 1 -Maps. In order to generate an accurateT 1 -Map, the determination of optimal flip-angles and the registration of flip-angle images are examined. Our JSRIC method is validated on two human subjects in the 2DT 1 -Map modality and our segmentation method is validated by two public databases, BrainWeb and IBSR, ofT 1 -weighted modality in the 3D setting.