Medical image segmentation

Xujiong Ye (Inventor), Gregory Slabaugh (Inventor), Gareth Beddoe (Inventor), Xinyu Lin (Inventor), Abdellah Douiri (Inventor)

Research output: Patent


A segmentation method comprises clustering spatial, intensity and volumetric shape index to automatically segment a medical lesion. The algorithm has the following steps: (1) calculating volumetric shape index (SI) for each voxel in the image; (2) combining the SI features with the intensity range and the spatial position (x, y, z) to form a 5-dimensional feature vector set; (3) grouping the 5-dimensional feature vector set into clusters; (4) employing a modified expectation-maximization algorithm (EM) considering not only spatial but also shape features on an intensity mode map from the clustering algorithm to merge the neighbouring regions or modes. The joint spatial-intensity-shape feature provides rich information for the segmentation of the anatomic structures of interest, such as lesions or tumours.
Original languageEnglish
Patent numberUS8675931B2
Priority date3/07/2008
Publication statusPublished - 18 Mar 2014


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