TY - GEN
T1 - Use of a voxelwise approach in the analysis of fractional anisotropy data in multiple sclerosis patients
AU - Patel, Sunil A.
AU - Hum, Barbara
AU - Gonzalez, Carlos F.
AU - Schwartzman, Robert
AU - Faro, Scott H.
AU - Mohamed, Feroze B.
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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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U2 - 10.1109/iembs.2005.1616125
DO - 10.1109/iembs.2005.1616125
M3 - Conference contribution
AN - SCOPUS:33846925690
SN - 0780387406
SN - 9780780387409
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SP - 7032
EP - 7035
BT - Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Y2 - 1 September 2005 through 4 September 2005
ER -