2010 | OriginalPaper | Buchkapitel
Relation-Aware Spreadsheets for Multimodal Volume Segmentation and Visualization
verfasst von : Lin Zheng, Yingcai Wu, Kwan-liu Ma
Erschienen in: Machine Learning in Medical Imaging
Verlag: Springer Berlin Heidelberg
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Multimodal volume data commonly found in medical imaging applications present both opportunities and challenges to segmentation and visualization tasks. This paper presents a user directed volume segmentation system. Through a spreadsheets interface, the user can interactively examine and refine segmentation results obtained from automatic clustering. In addition, the user can isolate or highlight a feature of interest in a volume based on different modalities, and see the corresponding segmented results. Our system is easy to use since the preliminary segmentation results are organized and presented to the user in a relation-aware fashion based on the spatial relations between the segmented regions. We demonstrate this system using two multimodal datasets.