Interactive Geodesic Segmentation of n-Dimensional Medical Images on the Graphics Processor

Antonio Criminisi, Toby Sharp, and Khan Siddiqui

Abstract

This paper presents a new, parallel segmentation algorithm which enables radiologists to separate a region of interest from 2D or 3D images accurately and efficiently. This, in turn, enables fast and accurate area/volume measurements as well as the extraction of statistics for the selected region.

Our general purpose algorithm can be applied to any visible structure (e.g. a tumor or any structure) and it is driven by minimal and intuitive user interaction.

Details

Publication typeInproceedings
Published inRadiological Society of North America (RSNA)
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