Leland Stanford Junior University

R Brooke Jeffrey, Jr

David Seungwon Paik

Sandy A Napel

Christopher Allen Beaulieu

Burak Acar

Salih Burak Gokturk

Carlo Tomasi

A method to detect and classify a structure of interest in a medical image is provided to enable high specificity without sacrificing the sensitivity of detection. The method is based on representing changes in three-dimensional image data with a vector field, characterizing the topology of this vector field and using the characterized topology of the vector field for classification of a structure of interest. The method could be used as a stand-alone method or as a post-processing method to enhance and classify outputs of a high-sensitivity low-specificity method to eliminate false positives.

Method for detecting and classifying a structure of interest in medical images

An automatic method for the registration of prone and supine computed tomographic colonography data is provided. The method improves the radiologist's overall interpretation efficiency as well as provides a basis for combining supine/prone computer-aided detection results automatically. The method includes determining (centralized) paths or axes of the colon from which relatively stationary points of the colon are matched for both supine and prone positions. Stretching and/or shrinking of either the supine or prone path perform registration of these points. The matching and registration occurs in an iterative and recursive manner and is considered finished based on one or more decision criteria.

Method for matching and registering medical image data

Growing community of inventors

Los Altos Hills, CA, United States of America

R Brooke Jeffrey, Jr