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Proceedings Paper

FIST: a fast interactive segmentation technique
Author(s): Dirk Padfield; Rahul Bhotika; Alexander Natanzon
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Paper Abstract

Radiologists are required to read thousands of patient images every day, and any tools that can improve their workflow to help them make efficient and accurate measurements is of great value. Such an interactive tool must be intuitive to use, and we have found that users are accustomed to clicking on the contour of the object for segmentation and would like the final segmentation to pass through these points. The tool must also be fast to enable real-time interactive feedback. To meet these needs, we present a segmentation workflow that enables an intuitive method for fast interactive segmentation of 2D and 3D objects. Given simple user clicks on the contour of an object in one 2D view, the algorithm generates foreground and background seeds and computes foreground and background distributions that are used to segment the object in 2D. It then propagates the information to the two orthogonal planes in a 3D volume and segments all three 2D views. The automated segmentation is automatically updated as the user continues to add points around the contour, and the algorithm is re-run using the total set of points. Based on the segmented objects in these three views, the algorithm then computes a 3D segmentation of the object. This process requires only limited user interaction to segment complex shapes and significantly improves the workflow of the user.

Paper Details

Date Published: 20 March 2015
PDF: 5 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 941317 (20 March 2015); doi: 10.1117/12.2082011
Show Author Affiliations
Dirk Padfield, GE Global Research (United States)
Rahul Bhotika, GE Global Research (United States)
Alexander Natanzon, GE Healthcare (United States)

Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

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