1. A methodology for generating normal and pathological brain perfusion SPECT images for evaluation of MRI/SPECT fusion methods: application in epilepsy
- Author
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Irène Buvat, Christophe Grova, Pierre Jannin, Arnaud Biraben, A. M. Bernard, Bernard Gibaud, Jean Marie Scarabin, Habib Benali, Grosset, Aline, Integration de Donnees Multimedia en Anatomie et Physiologie Cerebrale Pour l'Aide a la Decision et l'Enseignement, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada], Imagerie médicale et quantitative, Institut National de la Santé et de la Recherche Médicale (INSERM), Service de médecine nucléaire [Rennes], CRLCC Eugène Marquis (CRLCC), Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)
- Subjects
Male ,MESH: Subtraction Technique ,Computer science ,Partial volume ,Perfusion scanning ,Ictal-Interictal SPECT Analysis by SPM ,MESH: Magnetic Resonance Imaging ,User-Computer Interface ,Epilepsy ,Single Photon Emission Tomography ,MESH: Brain Mapping ,Brain Mapping ,Ground truth ,MESH: Middle Aged ,Radiological and Ultrasound Technology ,Brain ,Middle Aged ,Magnetic Resonance Imaging ,MESH: Reproducibility of Results ,MESH: Epilepsy, Temporal Lobe ,Female ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,Perfusion ,Algorithms ,Adult ,MESH: Algorithms ,Models, Biological ,Sensitivity and Specificity ,MESH: Tomography, Emission-Computed, Single-Photon ,MESH: Brain ,MESH: Computer Simulation ,Spect imaging ,Image Interpretation, Computer-Assisted ,medicine ,Humans ,Computer Simulation ,Radiology, Nuclear Medicine and imaging ,Ictal ,MESH: User-Computer Interface ,Tomography, Emission-Computed, Single-Photon ,[SDV.IB] Life Sciences [q-bio]/Bioengineering ,MESH: Humans ,business.industry ,MESH: Models, Biological ,Reproducibility of Results ,MESH: Adult ,Gold standard (test) ,medicine.disease ,MESH: Male ,MESH: Sensitivity and Specificity ,Epilepsy, Temporal Lobe ,Subtraction Technique ,Nuclear medicine ,business ,MESH: Female ,MESH: Image Interpretation, Computer-Assisted - Abstract
International audience; Quantitative evaluation of brain MRI/SPECT fusion methods for normal and in particular pathological datasets is difficult, due to the frequent lack of relevant ground truth. We propose a methodology to generate MRI and SPECT datasets dedicated to the evaluation of MRI/SPECT fusion methods and illustrate the method when dealing with ictal SPECT. The method consists in generating normal or pathological SPECT data perfectly aligned with a high-resolution 3D T1-weighted MRI using realistic Monte Carlo simulations that closely reproduce the response of a SPECT imaging system. Anatomical input data for the SPECT simulations are obtained from this 3D T1-weighted MRI, while functional input data result from an inter-individual analysis of anatomically standardized SPECT data. The method makes it possible to control the 'brain perfusion' function by proposing a theoretical model of brain perfusion from measurements performed on real SPECT images. Our method provides an absolute gold standard for assessing MRI/SPECT registration method accuracy since, by construction, the SPECT data are perfectly registered with the MRI data. The proposed methodology has been applied to create a theoretical model of normal brain perfusion and ictal brain perfusion characteristic of mesial temporal lobe epilepsy. To approach realistic and unbiased perfusion models, real SPECT data were corrected for uniform attenuation, scatter and partial volume effect. An anatomic standardization was used to account for anatomic variability between subjects. Realistic simulations of normal and ictal SPECT deduced from these perfusion models are presented. The comparison of real and simulated SPECT images showed relative differences in regional activity concentration of less than 20% in most anatomical structures, for both normal and ictal data, suggesting realistic models of perfusion distributions for evaluation purposes. Inter-hemispheric asymmetry coefficients measured on simulated data were found within the range of asymmetry coefficients measured on corresponding real data. The features of the proposed approach are compared with those of other methods previously described to obtain datasets appropriate for the assessment of fusion methods.
- Published
- 2003
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