Conference proceeding
Use of a voxelwise approach in the analysis of fractional anisotropy data in multiple sclerosis patients
2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-7, v 7, pp 7032-7035
01 Jan 2005
PMID: 17281894
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Diffusion tensor magnetic resonance imaging (DTI) has the ability to provide non-invasive information on tissue microstructure not available in routine clinical MRI images. This includes information regarding the degree of anisotropy as well as the direction of the diffusion of water molecules within the tissues. Since white matter areas of the brain have an ordered structure (due to the myelination and directionality of axons) and thus a high degree of anisotropy, the ability to detect changes in anisotropy can be extremely useful in the study of diseases such as multiple sclerosis (MS), which involves the demyelination of axons. Several studies have used DTI to investigate well defined MS lesions as well as normal appearing white matter (NAWM) lesions not seen in conventional MR images. These studies have typically used region of interest (ROI) based approaches to analyze the data. However, studies using ROI based analysis techniques have several drawbacks. These include the time required to draw ROIs, the reproducibility of these ROIs, and the accuracy of placement of these ROIs, especially in NAWM regions where there is no a priori knowledge of the presence or absence of MS lesions. In this study, we have demonstrated the utilization of a semi-automated method for performing a voxelwise analysis in the detection of MS lesions.
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Details
- Title
- Use of a voxelwise approach in the analysis of fractional anisotropy data in multiple sclerosis patients
- Creators
- Sunil A. Patel - Drexel UniversityBarbara Hum - Drexel UniversityCarlos F. Gonzalez - Drexel UniversityRobert Schwartzman - Drexel UniversityScott H. FaroFeroze B. Mohamed - Drexel UniversityIEEE
- Publication Details
- 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-7, v 7, pp 7032-7035
- Series
- PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY
- Publisher
- IEEE
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Neurology
- Web of Science ID
- WOS:000238998406090
- Scopus ID
- 2-s2.0-33846925690
- Other Identifier
- 991019168112204721
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InCites Highlights
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- Web of Science research areas
- Engineering, Biomedical