A Statistical Test to Assess Tissue Characterization of Abdominal Organs By Color-Fusion MRI
Date of Award
Master of Science in Biomedical Sciences
H Keith Brown, PhD
Kimberly Deadmond, PhD
Lori Hardy, PhD
Color fusion MRI is being investigated for its value in automatic segmentation of tissues. An existing color fusion MRI data set of the liver, pancreas, and kidney of a normal male volunteer was analyzed both visually and statistically. Automatic tissue segmentation can allow better differentiation of abdominal pathologies, as well as pathologies associated with other organs. My research hypothesis is that fuzzy c-means clustering can be used to quantify the confidence levels of the correct classification of renal, pancreatic, and hepatic tissues visualized by the color fusion MRI method. Results from data show that fuzzy c-means clustering can be used to validate the correctness of classification of abdominal tissues that are visualized by color fusion MRI.
Weeden, Terrance Darnell, "A Statistical Test to Assess Tissue Characterization of Abdominal Organs By Color-Fusion MRI" (2013). PCOM Biomedical Studies Student Scholarship. 52.
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