Siemens Medical Solutions Usa, Inc.

Vaclav Potesil

Xiang Sean Zhou

Arun Krishnan

Anna Jerebko

Alok Gupta

Xiaolei Sharon Huang

Toshiro Kubota

Haiying Guan

A method for segmenting digitized images includes providing a training set comprising a plurality of digitized whole-body images, providing labels on anatomical landmarks in each image of said training set, aligning each said training set image, generating positive and negative training examples for each landmark by cropping the aligned training volumes into one or more cropping windows of different spatial scales, and using said positive and negative examples to train a detector for each landmark at one or more spatial scales ranging from a coarse resolution to a fine resolution, wherein the spatial relationship between a cropping windows of a coarse resolution detector and a fine resolution detector is recorded.

System and method for whole body landmark detection, segmentation and change quantification in digital images

A method of automatic change quantification for medical decision support includes: automatically detecting a structure in a set of medical images; characterizing the detected structure including modeling of deformation characteristics of the detected structure; matching images based on the characterization of the detected structure, wherein a size measure of the detected structure is constrained according to the deformation characteristics; and quantifying a change in the detected structure.

Systems and methods for automatic change quantification for medical decision support

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Brno, Czechia

Vaclav Potesil