Robust brain ROI segmentation by deformation regression and deformable shape model
Abstract
We propose a robust and efficient learning-based deformable model for segmenting regions of interest (ROIs) from structural MR brain images. Different from the conventional deformable-model-based methods that deform a shape model locally around the initialization location, we learn an image-based regressor to guide the deformable model to fit for the target ROI. Specifically, given any voxel in a new image, the image-based regressor can predict...
Paper Details
Title
Robust brain ROI segmentation by deformation regression and deformable shape model
Published Date
Jan 1, 2018
Journal
Volume
43
Pages
198 - 213
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