Registration of dynamic dopamine D2 receptor images using principal component analysis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1997-11

AUTHORS

Paul D. Acton, Lyn S. Pilowsky, John Suckling, Michael J. Brammer, Peter J. Ell

ABSTRACT

This paper describes a novel technique for registering a dynamic sequence of single-photon emission tomography (SPET) dopamine D2 receptor images, using principal component analysis (PCA). Conventional methods for registering images, such as count difference and correlation coefficient algorithms, fail to take into account the dynamic nature of the data, resulting in large systematic errors when registering time-varying images. However, by using principal component analysis to extract the temporal structure of the image sequence, misregistration can be quantified by examining the distribution of eigenvalues. The registration procedures were tested using a computer-generated dynamic phantom derived from a high-resolution magnetic resonance image of a realistic brain phantom. Each method was also applied to clinical SPET images of dopamine D2 receptors, using the ligands iodine-123 iodobenzamide and iodine-123 epidepride, to investigate the influence of misregistration on kinetic modelling parameters and the binding potential. The PCA technique gave highly significant (P<0.001) improvements in image registration, leading to alignment errors in x and y of about 25% of the alternative methods, with reductions in autocorrelations over time. It could also be applied to align image sequences which the other methods failed completely to register, particularly 123I-epidepride scans. The PCA method produced data of much greater quality for subsequent kinetic modelling, with an improvement of nearly 50% in the chi2 of the fit to the compartmental model, and provided superior quality registration of particularly difficult dynamic sequences. More... »

PAGES

1405-1412

References to SciGraph publications

  • 1994-12. Principal component analysis of dynamic positron emission tomography images in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 1997-02. Multivariate cluster analysis of dynamic iodine-123 iodobenzamide SPET dopamine D2 receptor images in schizophrenia in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s002590050167

    DOI

    http://dx.doi.org/10.1007/s002590050167

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1016297293

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/9371874


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