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Enabling Haptic Interaction with Volumetric MRI Data Through Knowledge-based Tissue Separation
Linköpings universitet, Institutionen för teknik och naturvetenskap, Visuell informationsteknologi och applikationer. Linköpings universitet, Tekniska högskolan.ORCID-id: 0000-0003-2429-0842
Linköpings universitet, Institutionen för teknik och naturvetenskap, Visuell informationsteknologi och applikationer. Linköpings universitet, Tekniska högskolan. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.ORCID-id: 0000-0002-9368-0177
Linköpings universitet, Institutionen för teknik och naturvetenskap, Visuell informationsteknologi och applikationer. Linköpings universitet, Tekniska högskolan.
Linköpings universitet, Institutionen för teknik och naturvetenskap, Visuell informationsteknologi och applikationer. Linköpings universitet, Tekniska högskolan.ORCID-id: 0000-0002-9466-9826
2006 (engelsk)Inngår i: Proceedings of Volume Graphics, 2006, s. 75-78Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Direct volume haptics can provide both guidance and extra information during exploration of volumetric data. In this paper we present a novel approach to volume haptics enabling haptic exploration of tissue shape, borders and material properties in data despite low contrast and low signal to noise ratio, as is common in medical MRI data or low dose CT data. The method uses filtering based on implicit knowledge and addresses the problem of overlapping scalar ranges through the introduction of fuzzy classification and corresponding transfer functions for material properties as well as classification-based distance masking for haptic force direction.

sted, utgiver, år, opplag, sider
2006. s. 75-78
Emneord [en]
volume haptics, MRI, classification
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-14407DOI: 10.2312/VG/VG06/075-078OAI: oai:DiVA.org:liu-14407DiVA, id: diva2:23455
Tilgjengelig fra: 2007-05-14 Laget: 2007-05-14 Sist oppdatert: 2015-09-22
Inngår i avhandling
1. Direct Volume Haptics for Visualization
Åpne denne publikasjonen i ny fane eller vindu >>Direct Volume Haptics for Visualization
2007 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Visualization is the process of making something perceptible to the mind or imagination. The techniques for producing visual imagery of volumetric data have advanced immensely during the last decades to a point where each produced image can include an overwhelming amount of information. An increasingly viable solution to the limitations of the human sense of visual perception is to make use of not only vision, but also additional senses.

This thesis presents recent work on the development of principles and algorithms for generating representations of volumetric data through the sense of touch for the purpose of visualization. The primary idea introduced in this work is the concept of yielding constraints, that can be used to provide a continuous set of shapes as a representation of features of interest in various types of volumetric data. Some of the earlier identified standard human exploratory procedures can then be used which enables natural, intuitive and effective interaction with the data. The yielding constraints concept is introduced, and an algorithm based on haptic primitives is described, which forms a powerful yet versatile implementation of the yielding constraints. These methods are also extended to handle time-varying, moving and low quality data. A framework for multimodal visualization has been built on the presented methods, and this is used to demonstrate the applicability and versatility of the work through several example applications taken from different areas.

sted, utgiver, år, opplag, sider
Linköping: Institutionen för teknik och naturvetenskap, 2007. s. 76
Serie
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 0345-7524
Emneord
Haptic Visualization, Volumetric Data, Haptic Primitives, Shape Representations, Time-varying Data
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-8771 (URN)978-91-85831-98-2 (ISBN)
Disputas
2007-05-25, K1, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 14:15 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2007-05-14 Laget: 2007-05-14 Sist oppdatert: 2018-01-13

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Totalt: 331 treff
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