Share Email Print

Journal of Medical Imaging

On the evaluation of segmentation editing tools
Author(s): Frank Heckel; Jan H. Moltz; Hans Meine; Benjamin Geisler; Andreas Kießling; Melvin D’Anastasi; Daniel Pinto dos Santos; Ashok Joseph Theruvath; Horst K. Hahn
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Efficient segmentation editing tools are important components in the segmentation process, as no automatic methods exist that always generate sufficient results. Evaluating segmentation editing algorithms is challenging, because their quality depends on the user’s subjective impression. So far, no established methods for an objective, comprehensive evaluation of such tools exist and, particularly, intermediate segmentation results are not taken into account. We discuss the evaluation of editing algorithms in the context of tumor segmentation in computed tomography. We propose a rating scheme to qualitatively measure the accuracy and efficiency of editing tools in user studies. In order to objectively summarize the overall quality, we propose two scores based on the subjective rating and the quantified segmentation quality over time. Finally, a simulation-based evaluation approach is discussed, which allows a more reproducible evaluation without the need for human input. This automated evaluation complements user studies, allowing a more convincing evaluation, particularly during development, where frequent user studies are not possible. The proposed methods have been used to evaluate two dedicated editing algorithms on 131 representative tumor segmentations. We show how the comparison of editing algorithms benefits from the proposed methods. Our results also show the correlation of the suggested quality score with the qualitative ratings.

Paper Details

Date Published: 14 November 2014
PDF: 16 pages
J. Med. Img. 1(3) 034005 doi: 10.1117/1.JMI.1.3.034005
Published in: Journal of Medical Imaging Volume 1, Issue 3
Show Author Affiliations
Frank Heckel, Fraunhofer MEVIS (Germany)
Univ. of Leipzig (Germany)
Jan H. Moltz, Fraunhofer MEVIS (Germany)
Hans Meine, Fraunhofer MEVIS (Germany)
Benjamin Geisler, Fraunhofer MEVIS (Germany)
Andreas Kießling, Philipps-Univ. Marburg (Germany)
Melvin D’Anastasi, Ludwig-Maximilians-Univ. Hospital München (Germany)
Daniel Pinto dos Santos, Univ. Augenklinik Mainz (Germany)
Ashok Joseph Theruvath, Univ. Augenklinik Mainz (Germany)
Horst K. Hahn, Fraunhofer MEVIS (Germany)

© SPIE. Terms of Use
Back to Top