Method and system for joint multi-organ segmentation in medical image data using local and global context

摘要

A method and system for segmenting multiple organs in medical image data is disclosed. A plurality of landmarks of a plurality of organs are detected in a medical image using an integrated local and global context detector. A global posterior integrates evidence of a plurality of image patches to generate location predictions for the landmarks. For each landmark, a trained discriminative classifier for that landmark evaluates the location predictions for that landmark based on local context. A segmentation of each of the plurality of organs is then generated based on the detected landmarks.

主权项

1. A method for segmenting a plurality of organs in a medical image, comprising:
detecting a plurality of landmarks of the plurality of organs in the medical image using an integrated local and global context detector, wherein detecting a plurality of landmarks of the plurality of organs in the medical image using an integrated local and global context detector comprises:
generating a respective set of location predictions for each of the plurality of landmarks from each of a plurality of image patches of the medical image using a global context posterior, andfor each of the plurality of landmarks, detecting the landmark by evaluating the predicted locations for that landmark based on a local context using a trained discriminative classifier for that landmark; and generating a segmentation of each of the plurality of organs based on the detected plurality of landmarks.