Arterial Spin Labeling MRI is a promising approach to assess blood flow to the placenta. Although previous studies have largely attempted to quantify global perfusion, we believe that the unique physiology of blood flow through the placental intervillous space rather than through capillaries warrants regional pattern analysis. We present an image analysis framework leveraging a spline-based transform of the image coordinates, watershed segmentation, and clustering analysis. We report Bayesian statistics to quantify features of blood flow distribution and the degree of uncertainty at the uteroplacental interface.
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