Literature DB >> 10755719

Validation of fully automatic brain SPET to MR co-registration.

L Barnden1, R Kwiatek, Y Lau, B Hutton, L Thurfjell, K Pile, C Rowe.   

Abstract

Fully automatic co-registration of functional to anatomical brain images using information intrinsic to the scans has been validated in a clinical setting for positron emission tomography (PET), but not for single-photon emission tomography (SPET). In this paper we evaluate technetium-99m hexamethylpropylene amine oxime to magnetic resonance (MR) co-registration for five fully automatic methods. We attached six small fiducial markers, visible in both SPET and MR, to the skin of 13 subjects. No increase in the radius of SPET acquisition was necessary. Distortion of the fiducial marker distribution observed in the SPET and MR studies was characterised by a measure independent of registration and three subjects were excluded on the basis of excessive distortion. The location of each fiducial marker was determined in each modality to sub-pixel precision and the inter-modality distance was averaged over all markers to give a fiducial registration error (FRE). The component of FRE excluding the variability inherent in the validation method was estimated by computing the error transformation between the arrays of MR marker locations and registered SPET marker locations. When applied to the fiducial marker locations this yielded the surface registration error (SRE), and when applied to a representative set of locations within the brain it yielded the intrinsic registration error (IRE). For the best method, mean IRE was 1.2 mm, SRE 1.5 mm and FRE 2.4 mm (with corresponding maxima of 3.3, 4.3 and 5.0 mm). All methods yielded a mean IRE <3 mm. The accuracy of the most accurate fully automatic SPET to MR co-registration was comparable with that published for PET to MR. With high standards of calibration and instrumentation, intra-subject cerebral SPET to MR registration accuracy of <2 mm is attainable.

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Year:  2000        PMID: 10755719     DOI: 10.1007/s002590050020

Source DB:  PubMed          Journal:  Eur J Nucl Med        ISSN: 0340-6997


  4 in total

1.  An imaging co-registration system using novel non-invasive and non-radioactive external markers.

Authors:  Tung-Hsin Wu; Jiunn-Kuen Wang; Jason J S Lee; Ren-Shyan Liu; Wan-Yuo Guo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2003-04-12       Impact factor: 9.236

2.  A hybrid strategy to integrate surface-based and mutual-information-based methods for co-registering brain SPECT and MR images.

Authors:  Yuan-Lin Liao; Yung-Nien Sun; Wan-Yuo Guo; Yuan-Hwa Chou; Jen-Chuen Hsieh; Yu-Te Wu
Journal:  Med Biol Eng Comput       Date:  2010-12-30       Impact factor: 2.602

3.  Quantitative multi-compartmental SPECT image analysis for lateralization of temporal lobe epilepsy.

Authors:  Kourosh Jafari-Khouzani; Kost Elisevich; Kastytis C Karvelis; Hamid Soltanian-Zadeh
Journal:  Epilepsy Res       Date:  2011-03-30       Impact factor: 3.045

4.  FocusDET, a new toolbox for SISCOM analysis. Evaluation of the registration accuracy using Monte Carlo simulation.

Authors:  Berta Martí Fuster; Oscar Esteban; Xavier Planes; Pablo Aguiar; Cristina Crespo; Carles Falcon; Gert Wollny; Sebastià Rubí Sureda; Xavier Setoain; Alejandro F Frangi; Maria J Ledesma; Andrés Santos; Javier Pavía; Domènec Ros
Journal:  Neuroinformatics       Date:  2013-01
  4 in total

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