Reference database driven statistical analysis of automated frameless CT-MRI registration developed for radiosurgical investigations

G. Opposits, S. A. Kis, T. Spisak, E. Berenyi, B. Szucs, L. Bognár, J. G. Dobai, E. Takacs, L. Gulyas, M. Emri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The aims of this study were (1) to describe statistically the fluctuation of the goodness of automated CT-MRI registration method (2) to evaluate a numerical parameter, scaled to [0,1] interval (lambda), for characterizing the population level accuracy of any automated CT-MRI registration algorithm on voxel similarity basis. The population level distribution of cross-correlation values between the reference T1-weighted images and the automatically registered images were investigated in five patient groups (brain metastatis, cavernoma, cranial nerve schwannoma, meningioma, trigeminal neuralgia). The evaluated distributions appeared as the mixture of two Gaussians and a peak at the 1.0 value. The evaluated distributions appeared as the mixture of two Gaussians and a peak at the 1.0 value, therefore we classified the result of automated registration into three accuracy types (AT), AT1: cross-correlation equals to 1.0, AT2: when the automatically registered image slightly differs from the reference one, cross-correlation ∼1.0, and AT3: when the cross-correlation is about 0.4. Pauto was introduced as the ratio of well fitted automated registration relative to number of all the registrations, C upper and Clower are the mean of AT2 and AT3 distributions. The λ=Pauto*Cupper* Clower product was used as the measure of the goodness of automated image registration procedure at population level. The evaluated lambda parameter will be used to control the impacts of software modifications and to optimize the functional parameters of the evaluated preprocessing steps.

Original languageEnglish
Title of host publicationIEEE Nuclear Science Symposium Conference Record
Pages2780-2782
Number of pages3
DOIs
Publication statusPublished - 2012
Event2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012 - Anaheim, CA, United States
Duration: Oct 29 2012Nov 3 2012

Other

Other2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
CountryUnited States
CityAnaheim, CA
Period10/29/1211/3/12

Fingerprint

statistical analysis
cross correlation
Databases
Trigeminal Neuralgia
Cranial Nerves
Neurilemmoma
Meningioma
Population
Reference Values
Software
Demography
Brain
nerves
preprocessing
brain
intervals
computer programs
products

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Cite this

Opposits, G., Kis, S. A., Spisak, T., Berenyi, E., Szucs, B., Bognár, L., ... Emri, M. (2012). Reference database driven statistical analysis of automated frameless CT-MRI registration developed for radiosurgical investigations. In IEEE Nuclear Science Symposium Conference Record (pp. 2780-2782). [6551634] https://doi.org/10.1109/NSSMIC.2012.6551634

Reference database driven statistical analysis of automated frameless CT-MRI registration developed for radiosurgical investigations. / Opposits, G.; Kis, S. A.; Spisak, T.; Berenyi, E.; Szucs, B.; Bognár, L.; Dobai, J. G.; Takacs, E.; Gulyas, L.; Emri, M.

IEEE Nuclear Science Symposium Conference Record. 2012. p. 2780-2782 6551634.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Opposits, G, Kis, SA, Spisak, T, Berenyi, E, Szucs, B, Bognár, L, Dobai, JG, Takacs, E, Gulyas, L & Emri, M 2012, Reference database driven statistical analysis of automated frameless CT-MRI registration developed for radiosurgical investigations. in IEEE Nuclear Science Symposium Conference Record., 6551634, pp. 2780-2782, 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012, Anaheim, CA, United States, 10/29/12. https://doi.org/10.1109/NSSMIC.2012.6551634
Opposits G, Kis SA, Spisak T, Berenyi E, Szucs B, Bognár L et al. Reference database driven statistical analysis of automated frameless CT-MRI registration developed for radiosurgical investigations. In IEEE Nuclear Science Symposium Conference Record. 2012. p. 2780-2782. 6551634 https://doi.org/10.1109/NSSMIC.2012.6551634
Opposits, G. ; Kis, S. A. ; Spisak, T. ; Berenyi, E. ; Szucs, B. ; Bognár, L. ; Dobai, J. G. ; Takacs, E. ; Gulyas, L. ; Emri, M. / Reference database driven statistical analysis of automated frameless CT-MRI registration developed for radiosurgical investigations. IEEE Nuclear Science Symposium Conference Record. 2012. pp. 2780-2782
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