ProbExplorer: Uncertainty-guided Exploration and Editing of Probabilistic Medical Image Segmentation
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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and Blackwell Publishing Ltd.
Abstract
In this paper, we develop an interactive analysis and visualization tool for probabilistic segmentation results in medical imaging. We provide a systematic approach to analyze, interact and highlight regions of segmentation uncertainty. We introduce a set of visual analysis widgets integrating different approaches to analyze multivariate probabilistic field data with direct volume rendering. We demonstrate the user s ability to identify suspicious regions (e.g. tumors) and correct the misclassification results using a novel uncertainty-based segmentation editing technique. We evaluate our system and demonstrate its usefulness in the context of static and time-varying medical imaging datasets.
Description
@article{10.1111:j.1467-8659.2009.01691.x,
journal = {Computer Graphics Forum},
title = {{ProbExplorer: Uncertainty-guided Exploration and Editing of Probabilistic Medical Image Segmentation}},
author = {Saad, Ahmed and Möller, Torsten and Hamarneh, Ghassan},
year = {2010},
publisher = {The Eurographics Association and Blackwell Publishing Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/j.1467-8659.2009.01691.x}
}