Journal article
BSLIM: spectral localization by imaging with explicit B0 field inhomogeneity compensation
IEEE transactions on medical imaging, Vol.26(7), pp.990-1000
07/2007
DOI: 10.1109/TMI.2007.897385
PMID: 17649912
Abstract
Magnetic resonance spectroscopy imaging (MRSI) is an attractive tool for medical imaging. However, its practical use is often limited by the intrinsic low spatial resolution and long acquisition time. Spectral localization by imaging (SLIM) has been proposed as a non-Fourier reconstruction algorithm that incorporates spatial a priori information about spectroscopically uniform compartments. Unfortunately, the influence of the magnetic field inhomogeneity--in particular, the susceptibility effects at tissues' boundaries--undermines the validity of the compartmental model. Therefore, we propose BSLIM as an extension of SLIM with field inhomogeneity compensation. A B0-field inhomogeneity map, which can be acquired rapidly and at high resolution, is used by the new algorithm as additional a priori information. We show that the proposed method is distinct from the generalized SLIM (GSLIM) framework. Experimental results of a two-compartment phantom demonstrate the feasibility of the method and the importance of inhomogeneity compensation.
Details
- Title: Subtitle
- BSLIM: spectral localization by imaging with explicit B0 field inhomogeneity compensation
- Creators
- Ildar Khalidov - Biomedical Imaging Group, EPFL, Lausanne, Switzerland. ildar.khalidov@epfl.chDimitri Van De VilleMathews JacobFrançois LazeyrasMichael Unser
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on medical imaging, Vol.26(7), pp.990-1000
- DOI
- 10.1109/TMI.2007.897385
- PMID
- 17649912
- NLM abbreviation
- IEEE Trans Med Imaging
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Publisher
- Institute of Electrical and Electronics Engineers; United States
- Language
- English
- Date published
- 07/2007
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984070418902771
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