Automatic correspondence on medical images: a comparative study of four methods for allocating corresponding points.
The accurate estimation of point correspondences is often required in a wide variety of medical image-processing applications. Numerous point correspondence methods have been proposed in this field, each exhibiting its own characteristics, strengths, and weaknesses. This paper presents a comprehensi...
| Publicado en: | Journal of Digital Imaging Vol. 23; no. 4; pp. 399 - 422 |
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| Autores principales: | , , |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105049532&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105049532 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Aug2010 vid: 23 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105049532 2010708796 10.1007/s10278-009-9190-z NLM19255808 105049532 ppf: 399 ppct: 23 formats: fmt: @attributes: type: P tig: atl: Automatic correspondence on medical images: a comparative study of four methods for allocating corresponding points. aug: au: Economopoulos T Asvestas P Matsopoulos G affil: School of Electrical and Computer Engineering, National Technical University of Athens, 9, Iroon Polytechniou str, Zografos 15780 Athens Greece sug: subj: Image Processing, Computer Assisted Methods Radiographic Image Enhancement Methods Radiography Methods Algorithms Comparative Studies Evaluation Research Human Neural Networks (Computer) ab: The accurate estimation of point correspondences is often required in a wide variety of medical image-processing applications. Numerous point correspondence methods have been proposed in this field, each exhibiting its own characteristics, strengths, and weaknesses. This paper presents a comprehensive comparison of four automatic methods for allocating corresponding points, namely the template-matching technique, the iterative closest points approach, the correspondence by sensitivity to movement scheme, and the self-organizing maps algorithm. Initially, the four correspondence methods are described focusing on their distinct characteristics and their parameter selection for common comparisons. The performance of the four methods is then qualitatively and quantitatively compared over a total of 132 two-dimensional image pairs divided into eight sets. The sets comprise of pairs of images obtained using controlled geometry protocols (affine and sinusoidal transforms) and pairs of images subject to unknown transformations. The four methods are statistically evaluated pairwise on all image pairs and individually in terms of specific features of merit based on the correspondence accuracy as well as the registration accuracy. After assessing these evaluation criteria for each method, it was deduced that the self-organizing maps approach outperformed in most cases the other three methods in comparison. pubtype: Academic Journal doctype: diagnostic images equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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