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Fully Automated Segmentation And Quantification Of Abdominal Adipose Tissue Compartments In Mouse Mri, Colin M. Mccurdy

Electronic Thesis and Dissertation Repository

Obesity currently affects 25% of Canadians and is strongly associated with many diseases including diabetes, cardiovascular disease, and cancer. However, only Intra-Abdominal Adipose Tissue (IAAT) is an important predictor of obesity associated disease and mortality. Magnetic Resonance Imaging (MRI) is an effective modality for imaging fat and methods have been developed to automate segmentation of IAAT. Currently existing techniques for automated segmentation in mice require acquisition using high magnetic field MRI equipment and use image acquisition techniques with low precision for fat quantification. We demonstrate a new fully automated technique for fat quantification in clinical strength mouse MRI through adaptation …