Table of Contents Author Guidelines Submit a Manuscript
International Journal of Biomedical Imaging
Volume 2009 (2009), Article ID 269525, 14 pages
Research Article

Joint Brain Parametric T 1 -Map Segmentation and RF Inhomogeneity Calibration

1Department of Electrical and Computer Engineering, North Carolina State University, NC 27695, USA
2Medical Communications Consultants, LLC 103 Van Doren Place Chapel Hill, NC 27517, USA
3School of Electrical and Computer Engineering, Georgia Institute of Technology, GA 30332, USA

Received 6 January 2009; Revised 11 May 2009; Accepted 7 June 2009

Academic Editor: Habib Zaidi

Copyright © 2009 Ping-Feng Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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 parametric T 1 -Map and T 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 the T 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 calibrated T 1 -Maps. In order to generate an accurate T 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 2D T 1 -Map modality and our segmentation method is validated by two public databases, BrainWeb and IBSR, of T 1 -weighted modality in the 3D setting.