Presented herein are systems and methods that facilitate automated segmentation of 3D images of subjects to distinguish between regions of heterotopic ossification (HO) normal skeleton, and soft tissue. In certain embodiments, the methods identify discrete, differentiable regions of a 3D image of subject (e.g., a CT or microCT image) that may then be either manually or automatically classified as either HO or normal skeleton.

Systems and methods for automated analysis of heterotopic ossification in 3D images

Disclosed in the present application are a method and system for extracting a lower limb blood vessel. The method may comprises: acquiring an initial image, the initial image being capable of comprising a plurality of image data, wherein each image datum may correspond to a pixel (or a voxel point), the image data may include a target data set, and the target data set may represent a first structure; extracting a first reference data set from the image data, wherein the first reference data set may include a target data set and a second reference data set, and the second reference data set may include data of a second structure; extracting the second reference data set from the image data set; and acquiring the target data set on the basis of the first reference data set and the second reference data set.

Method and system for extracting lower limb blood vessel

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Method and system for extracting lower limb blood vessel