Improved MRSI with field inhomogeneity compensation

Ildar Khalidov; Dimitri Van De Ville; Mathews Jacob; François Lazeyras; Michael Unser

doi:10.1117/12.651868

20 March 2006 Improved MRSI with field inhomogeneity compensation

Ildar Khalidov, Dimitri Van De Ville, Mathews Jacob, François Lazeyras, Michael Unser

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 614467 (2006) https://doi.org/10.1117/12.651868
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Magnetic resonance spectroscopy imaging (MRSI) is a promising and developing tool in medical imaging. Because of various difficulties imposed by the imperfections of the scanner and the reconstruction algorithms, its applicability in clinical practice is rather limited. In this paper, we suggest an extension of the constrained reconstruction technique (SLIM). Our algorithm, named B-SLIM, takes into account the the measured field inhomogeneity map, which contains both the scanner's main field inhomogeneity and the object-dependent magnetic susceptibility effects. The method is implemented and tested both with synthetic and physical two-compartment phantom data. The results demonstrate significant performance improvement over the SLIM technique. At the same time, the algorithm has the same computational complexity as SLIM.

Citation Download Citation

Ildar Khalidov, Dimitri Van De Ville, Mathews Jacob, François Lazeyras, and Michael Unser "Improved MRSI with field inhomogeneity compensation", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614467 (20 March 2006); https://doi.org/10.1117/12.651868

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available