Reiter, O., Breeuwer, M., Gröller, E., & Raidou, R. (2018). Comparative Visual Analysis of Pelvic Organ Segmentations. In Proceedings of EuroVis 2018 (pp. 37–41). Computer Graphics Forum. https://doi.org/10.2312/eurovisshort.20181075
Eurographics / IEEE VGTC Conference on Visualization (EuroVis 2018)
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Event date:
4-Jun-2018 - 8-Jun-2018
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Event place:
Brno, Czech Republic, EU
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Number of Pages:
5
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Publisher:
Computer Graphics Forum, 37/3
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Publisher:
The Eurographics Association
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Peer reviewed:
Yes
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Abstract:
In prostate cancer treatment, automatic segmentations of the pelvic organs are often used as input to radiotherapy planning systems. However, natural anatomical variability of the involved organs is a common reason, for which segmentation algorithms fail, introducing errors in the radiotherapy treatment procedure, as well. Understanding how the shape and size of these organs affect the accuracy of segmentation is of major importance for developers of segmentation algorithms. However, current means of exploration and analysis provide limited insight. In this work, we discuss the design and implementation of a web-based framework, which enables easy exploration and detailed analysis of shape variability, and allows the intended users - i.e., segmentation experts - to generate hypotheses in relation to the performance of the involved algorithms. Our proposed approach was tested with segmentation meshes from a small cohort of 17 patients. Each mesh consists of four pelvic organs and two organ interfaces, which are labeled and have per-triangle correspondences. A usage scenario and an initial informal evaluation with a segmentation expert demonstrate that our framework allows the developers of the algorithms to quickly identify inaccurately segmented organs and to deliberate about the relation of variability to anatomical features and segmentation quality.
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Research Areas:
Visual Computing and Human-Centered Technology: 100%