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Haptic guided seeding of MRA images for semi-automatic segmentation
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2004 (English)In: Proceedings of IEEE international symposium on biomedical imaging: From nano to macro, 2004, 288-291 p.Conference paper, Published paper (Refereed)
Abstract [en]

We investigate how stereo graphics

and haptics can be combined to facilitate the seeding procedure

in semi-automatic segmentation of magnetic resonance angiography (MRA)

images. Real-time volume rendering using maximum intensity

projections (MIPs) has been implemented together with a haptic

rendering method that provides force feedback based on local

gradients and intensity values. This combination allows a

user to trace vessels in the image, and to

place seed-points directly in the 3D data set. Seed-regions

are propagated from the seed-points

according to an algorithm that favors bright voxels.

An experienced user have tested the interface

on whole-body MRA images with promising results.

Place, publisher, year, edition, pages
2004. 288-291 p.
Keyword [en]
volume haptics, interactive segmentation
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-67767ISBN: 0-7803-8389-3 (print)OAI: oai:DiVA.org:uu-67767DiVA: diva2:95678
Available from: 2005-05-23 Created: 2005-05-23 Last updated: 2017-02-08

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http://www.biomedicalimaging.org

Authority records BETA

Vidholm, ErikNyström, IngelaBengtsson, Ewert

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