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Fast and robust semi-automatic liver segmentation with haptic interaction
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Oncology, Radiology and Clinical Immunology, Radiology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2006 (English)In: MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2006, PROCEEDINGS 4191, 2006, 774-781 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a method for semi-automatic segmentation of the liver from CT scans. True 3D interaction with haptic feedback is used to facilitate initialization, i.e., seeding of a fast marching algorithm. Four users initialized 52 datasets and the mean interaction time was 40 seconds. The segmentation accuracy was verified by a radiologist. Volume measurements and segmentation precision show that the method has a high reproducibility.

Place, publisher, year, edition, pages
2006. 774-781 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-19899ISBN: 3-540-44727-X (print)OAI: oai:DiVA.org:uu-19899DiVA: diva2:47671
Available from: 2006-12-04 Created: 2006-12-04 Last updated: 2010-09-17Bibliographically approved

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Vidholm, ErikNilsson, SvenNyström, Ingela

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