A 3d tool for left ventricle segmentation editing

Authors:
Samuel Silva;Beatriz Sousa Santos;Joaquim Madeira;Augusto Silva
Affiliations:
Department of Electronics, Telecommunications and Informatics, Institute of Electronics Engineering and Telematics, University of Aveiro, Portugal;Department of Electronics, Telecommunications and Informatics, Institute of Electronics Engineering and Telematics, University of Aveiro, Portugal;Department of Electronics, Telecommunications and Informatics, Institute of Electronics Engineering and Telematics, University of Aveiro, Portugal;Department of Electronics, Telecommunications and Informatics, Institute of Electronics Engineering and Telematics, University of Aveiro, Portugal
Venue:
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Year:
2010

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Abstract

Image segmentation has a very important role in many application areas, such as medical imaging. Even robust segmentation methods cannot deal with the wide range of variation observed, for example, in shape and orientation of an anatomical structure. Given the need to accomplish accurate segmentations in order to perform quantitative measurements or compare structures in different time instances, it is important to have tools which allow easy segmentation editing/correction by experts. In 3D images (e.g., obtained using CT scanners) performing segmentation editing of regions which span several slices might be a tiresome task if it has to be done slice-by-slice with a 2D tool. This article presents a 3D segmentation editing tool, to be applied to left ventricle segmentations, which enables radiographers to correct segmentations provided by an automatic method.