Rigid Registration of Medical Images Using 1D and 2D Binary Projections.
Image registration is a necessary procedure in everyday clinical practice. Several techniques for rigid and non-rigid registration have been developed and tested and the state-of-the-art is evolving from the research setting to incorporate image registration techniques into clinically useful tools....
| Published in: | Journal of Digital Imaging Vol. 24; no. 5; pp. 913 - 926 |
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| Main Authors: | , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Springer Nature
Oct2011
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104691170&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104691170 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Oct2011 vid: 24 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104691170 65832726 10.1007/s10278-010-9352-z NLM21086018 104691170 ppf: 913 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Rigid Registration of Medical Images Using 1D and 2D Binary Projections. aug: au: Kotsas, Panayiotis Dodd, Tony affil: Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield UK sug: subj: Radiographic Image Interpretation, Computer-Assisted Methods Human Algorithms Evaluation Research ab: Image registration is a necessary procedure in everyday clinical practice. Several techniques for rigid and non-rigid registration have been developed and tested and the state-of-the-art is evolving from the research setting to incorporate image registration techniques into clinically useful tools. In this paper, we develop a novel rigid medical image registration technique which incorporates binary projections. This technique is tested and compared to the standard mutual information (MI) methods. Results show that the method is significantly more accurate and robust compared to MI methods. The accuracy is well below 0.5° and 0.5 mm. This method introduces two more improvements over MI methods: (1)for 2D registration with the use of 1D binary projections, we use minimal interpolation; and (2) for 3D registration with the use of 2D binary projections the method converges to stable final positions, independent of the initial misregistration. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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