|
|
||||||||
Basic Science Investigations |
1 Service Hospitalier Frédéric Joliot, Commissariat à lEnergie Atomique, Orsay, France
2 McConnel Brain Imaging Center, Montréal Neurological Institute, McGill University, Montréal, Québec, Canada
3 Unité de Recherche Associée 2210, Commissariat à lEnergie Atomique and Centre National de la Recherche Scientifique, Orsay, France
PET imaging of D2 receptors or 18F-L-dopa metabolism are reference protocols to follow and study neurodegenerative diseases, but the accuracy of striatal PET imaging is limited by the partial-volume effect (PVE). For such studies, the geometric transfer matrix (GTM) method has been proposed to correct the regional mean values for PVE and is now widely used. Methods: The GTM method models the geometric interactions induced by the PET system between the anatomic regions in which PVE correction is performed. This implies estimation of the corresponding regional spread function (RSF). The literature describes 2 implementations for the RSF calculation; they differ in the way the point spread function (PSF) of the imaging system is modeled, but no comparison or discussion has been given. The first and reference implementation uses an accurate intrinsic detector PSF that is applied in the sinogram space. The second uses a global PSF that is applied in the image space. In this work, we compared the 2 GTM implementations for 3-dimensional (3D) PET striatal imaging using Monte Carlo simulations and a phantom study. We studied the robustness of the GTM correction with respect to residual registration errors between PET and anatomy and with respect to residual segmentation errors. Results: Despite the differences in RSF calculation and computation cost between the 2 implementations, similar recovery results were obtained (between 95% and 100%). The study of robustness of the GTM correction yielded 2 results. A realistic residual misregistration between the anatomic and PET images did not modify the algorithm accuracy but decreased its precision. Conversely, a realistic residual missegmentation of the anatomic regions submitted to GTM correction decreased the correction accuracy. Conclusion: A simple but efficient implementation in the image space of the GTM method yields accurate PVE correction in striatal regions in studies with 3D PET and enables clinical use. The method is less sensitive to residual misregistration errors between PET and anatomy than to residual missegmentation of the anatomy. Special care should be taken with segmentation of the regions to correct for PVE.
Key Words: partial-volume effects 3-dimensional PET simulation segmentation registration
This article has been cited by other articles:
![]() |
O. G. Rousset, D. L. Collins, A. Rahmim, and D. F. Wong Design and Implementation of an Automated Partial Volume Correction in PET: Application to Dopamine Receptor Quantification in the Normal Human Striatum J. Nucl. Med., July 1, 2008; 49(7): 1097 - 1106. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Zanotti-Fregonara, C. Champion, R. Trebossen, R. Maroy, J.-Y. Devaux, and E. Hindie Estimation of the {beta}+ Dose to the Embryo Resulting from 18F-FDG Administration During Early Pregnancy J. Nucl. Med., April 1, 2008; 49(4): 679 - 682. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Truchot, S. N. Costes, L. Zimmer, B. Laurent, D. Le Bars, C. Thomas-Anterion, B. Croisile, B. Mercier, M. Hermier, A. Vighetto, et al. Up-regulation of hippocampal serotonin metabolism in mild cognitive impairment Neurology, September 4, 2007; 69(10): 1012 - 1017. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Soret, S. L. Bacharach, and I. Buvat Partial-Volume Effect in PET Tumor Imaging J. Nucl. Med., June 1, 2007; 48(6): 932 - 945. [Abstract] [Full Text] [PDF] |
||||
![]() |
B.-K. Teo, Y. Seo, S. L. Bacharach, J. A. Carrasquillo, S. K. Libutti, H. Shukla, B. H. Hasegawa, R. A. Hawkins, and B. L. Franc Partial-Volume Correction in PET: Validation of an Iterative Postreconstruction Method with Phantom and Patient Data J. Nucl. Med., May 1, 2007; 48(5): 802 - 810. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Quarantelli, K. Berkouk, A. Prinster, B. Landeau, C. Svarer, L. Balkay, B. Alfano, A. Brunetti, J.-C. Baron, and M. Salvatore Integrated Software for the Analysis of Brain PET/SPECT Studies with Partial-Volume-Effect Correction J. Nucl. Med., February 1, 2004; 45(2): 192 - 201. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| JOURNAL OF NUCLEAR MEDICINE TECHNOLOGY | THE JOURNAL OF NUCLEAR MEDICINE |