Conference proceeding
Partial volume correction of magnetic resonance spectroscopic imaging
Proceedings of SPIE, Vol.6512(1), pp.651243-651248
Medical Imaging 2007: Image Processing
03/08/2007
DOI: 10.1117/12.706903
Abstract
The ability to study the biochemical composition of the brain is becoming important to better understand neurodegenerative and neurodevelopmental disorders. Magnetic Resonance Spectroscopy (MRS) can non-invasively provide quantification of brain metabolites in localized regions. The reliability of MRS is limited in part due to partial volume artifacts. This results from the relatively large voxels that are required to acquire sufficient signal-to-noise ratios for the studies. Partial volume artifacts result when a MRS voxel contains a mixture of tissue types. Concentrations of metabolites vary from tissue to tissue. When a voxel contains a heterogeneous tissue composition, the spectroscopic signal acquired from this voxel will consist of the signal from different tissues making reliable measurements difficult. We have developed a novel tool for the estimation of partial volume tissue composition within MRS voxels thus allowing for the correction of partial volume artifacts. In addition, the tool can localize MR spectra to anatomical regions of interest. The tool uses tissue classification information acquired as part of a structural MR scan for the same subject. The tissue classification information is co-registered with the spectroscopic data. The user can quantify the partial volume composition of each voxel and use this information as covariates for metabolite concentrations.
Details
- Title: Subtitle
- Partial volume correction of magnetic resonance spectroscopic imaging
- Creators
- Yao Lu - The Univ. of OklahomaDee Wu - The Univ. of OklahomaVincent A Magnotta - The Univ. of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.6512(1), pp.651243-651248
- Conference
- Medical Imaging 2007: Image Processing
- DOI
- 10.1117/12.706903
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/08/2007
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Psychiatry; Iowa Neuroscience Institute
- Record Identifier
- 9984066146702771
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