Keywords: Correlative Imaging, Neurology, Partial-Volume Effect, Picture Archiving And Communication Systems, Spect, Fluorodeoxyglucose F 18, Diagnostic Agent, Radiopharmaceutical Agent, Accuracy, Article, Atrophy, Computer Program, Medical Error, Nuclear Magnetic Resonance Imaging, Positron Emission Tomography, Priority Journal, Single Photon Emission Computer Tomography, Brain, Computer Assisted Emission Tomography, Computer Simulation, Hospital Information System, Human, Image Processing, Image Quality, Methodology, Scintiscanning, Computer-Assisted, Phantoms, Radiology Information Systems, Software, Emission-Computed, Single-Photon, Brain Radionuclide Imaging, Fluorodeoxyglucose F18 Diagnostic Use, Computer-Assisted Methods, Radiopharmaceuticals Diagnostic Use,
Affiliations: *** IBB - CNR ***
Biostructure and Bioimaging Institute, National Council for Research, Naples, Italy
INSERM Unit 320 and E0218, Cyceron, Caen, France
Neurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark
PET Centre, University Medical School of Debrecen, Hungary
Diagnostic Imaging, University Federico II of Naples, Italy
Department of Neurology, University of Cambridge, United Kingdom
Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale Delle Ricerche, Edificio 10, Via Pansini, 5, 80131 Napoli, Italy
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Chawluk, J. B., Alavi, A., Dann, R., Positron emission tomography in aging and dementia: Effect of cerebral atrophy (1987) J Nucl Med, 28, pp. 431-437
Videen, T. O., Perlmutter, J. S., Mintun, M. A., Raichle, M. E., Regional correction of positron emission tomography data for the effects of cerebral atrophy (1988) J Cereb Blood Flow Metab, 8, pp. 662-670
Meltzer, C. C., Leal, J. P., Mayberg, H. S., Wagner Jr, H. N., Frost, J. J., Correction of PET data for partial volume effects in human cerebral cortex by MR imaging (1990) J Comput Assist Tomogr, 14, pp. 561-570
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Koepp, M. J., Richardson, M. P., Labbe, C., 11C-flumazenil PET, volumetric MRI, and quantitative pathology in mesial temporal lobe epilepsy (1997) Neurology, 49, pp. 764-773
Rousset, O. G., Ma, Y., Evans, A. C., Correction for partial volume effects in PET: Principle and validation (1998) J Nucl Med, 39, pp. 904-911
Meltzer, C. C., Kinahan, P. E., Greer, P. J., Comparative evaluation of MR-based partial-volume correction schemes for PET (1999) J Nucl Med, 40, pp. 2053-2065
Andreasen, N. C., Rajarethinam, R., Cizadlo, T., Automatic atlas-based volume estimation of human brain regions from MR images (1996) J Comput Assist Tomogr, 20, pp. 98-106
Meltzer, C. C., Zubieta, J. K., Brandt, J., Tune, L. E., Mayberg, H. S., Frost, J. J., Regional hypometabolism in Alzheimer's disease as measured by positron emission tomography after correction for effects of partial volume averaging (1996) Neurology, 47, pp. 454-461
Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction
We present software for integrated analysis of brain PET studies and coregistered segmented MRI that couples a module for automated placement of regions of interest (ROI) with 4 alternative methods for partial-volume-effect correction (PVEc). The accuracy and precision of these methods have been measured using 4 simulated 18F-FDG PET studies with increasing degrees of atrophy. Methods: The software allows the application of a set of labels, defined a priori in the Talairach space, to segmented and coregistered MRI. Resulting ROIs are then transferred onto the PET study, and corresponding values are corrected according to the 4 PVEc techniques under investigation, providing corresponding corrected values. To evaluate the PVEc techniques, the software was applied to 4 simulated 18F-FDG PET studies, introducing increasingly larger experimental errors, including errors in coregistration (0- to 6-pixel misregistration), segmentation (-13.7% to 14.1% gray matter [GM] volume change) and resolution estimate errors (-16.9% to 26.8% full-width-at-half-maximum mismatch). Results: Even in the absence of segmentation and coregistration errors, uncorrected PET values showed -37.6% GM underestimation and 91.7% WM overestimation. Voxel-based correction only for the loss of GM activity as a result of spill-out onto extraparenchymal tissues left a residual underestimation of GM values (-21.2%). Application of the method that took into account both spill-in and spill-out effects between any possible pair of ROIs (R-PVEc) and of the voxel-based method that corrects also for the WM activity derived from R-PVEC (mMG-PVEc) provided an accuracy above 96%. The coefficient of variation of the GM ROIs, a measure of the imprecision of the GM concentration estimates, was 8.5% for uncorrected PET data and decreased with PVEc, reaching 6.0% for mMG-PVEc. Coregistration errors appeared to be the major determinant of the imprecision. Conclusion: Coupling of automated ROI placement and PVEc provides a tool for integrated analysis of brain PET/MRI data, which allows a recovery of true GM ROI values, with a high degree of accuracy when R-PVEc or mMG-PVEc is used. Among the 4 tested PVEc methods, R-PVEc showed the greatest accuracy and is suitable when corrected images are not specifically needed. Otherwise, if corrected images are desired, the mMG-PVEc method appears the most adequate, showing a similar accuracy.
Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction
No results.
Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction