Haptic guided 3-D deformable image registration.
Identifieur interne : 001117 ( PubMed/Checkpoint ); précédent : 001116; suivant : 001118Haptic guided 3-D deformable image registration.
Auteurs : Petter Risholm [Norvège] ; Eigil SamsetSource :
- International journal of computer assisted radiology and surgery [ 1861-6429 ] ; 2009.
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- KwdEn :
- MESH :
Abstract
We present a system which supports deformable image registration guided by a haptic device.
DOI: 10.1007/s11548-009-0291-4
PubMed: 20033588
Affiliations:
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pubmed:20033588Le document en format XML
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<series><title level="j">International journal of computer assisted radiology and surgery</title>
<idno type="eISSN">1861-6429</idno>
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<term>Reproducibility of Results</term>
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<term>Imaging, Three-Dimensional</term>
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<term>Phantoms, Imaging</term>
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<front><div type="abstract" xml:lang="en">We present a system which supports deformable image registration guided by a haptic device.</div>
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<Title>International journal of computer assisted radiology and surgery</Title>
<ISOAbbreviation>Int J Comput Assist Radiol Surg</ISOAbbreviation>
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<ArticleTitle>Haptic guided 3-D deformable image registration.</ArticleTitle>
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<Abstract><AbstractText Label="PURPOSE" NlmCategory="OBJECTIVE">We present a system which supports deformable image registration guided by a haptic device.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">The haptic device is tied to a block matching method where a set of uniformly distributed control points determine the block positions. Each control point constitutes a particle in a mass spring grid which limits the space of allowed movements to elastic movements. Control points are manipulated by the haptic device, and the negative gradient of the similarity metric over the corresponding block is rendered as a force on the haptic device guiding the user to a minimum of the optimization landscape. Fast update of forces was achieved by exploiting the GPU for computations of the similarity metric and for interpolation of the deformation field.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">We show that haptic guided registration facilitates faster and improved registration compared to using a purely visual alignment in a user study on synthetic images. We also demonstrate feasibility of applying the system on medical images through a comparison with an automatic block matching algorithm. A radiologist performing registration with the haptic registration system posted faster registration times and better registration results than the automatic block matching algorithm when using identical grid and block sizes.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Possible applications of the system are refinement of registration results from automatic registration methods and construction of initial state used in automatic deformable registration methods.</AbstractText>
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