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To develop and test an algorithm that outlines the breast boundaries using information from fat and water magnetic resonance images.Three algorithms were implemented and tested using registered fat and water magnetic resonance images. Two of the segmentation algorithms are simple extensions of the techniques used for contrast-enhanced images: one algorithm uses clustering and local gradient (CLG)...
PurposeTo develop an algorithm for fast and accurate T2 estimation from highly undersampled multi‐echo spin‐echo data.
MethodsThe algorithm combines a model‐based reconstruction with a signal decay based on the slice‐resolved extended phase graph (SEPG) model with the goal of reconstructing T2 maps from highly undersampled radial multi‐echo spin‐echo data with indirect echo compensation. To avoid...
Breast density (BD) has been advocated as a risk factor for the development of breast cancer. BD is typically measured from mammograms. However for longitudinal studies of patients at risk, BD can be better assessed using MRI due to the lack of ionizing radiation and the 3D capabilities of the technique. A fat-water (FW) imaging technique called RAD-GRASE was developed to acquire images of the entire...
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