Realistic Simulated MRI and SPECT Databases
This paper describes the construction of simulated SPECT and MRI databases that account for realistic anatomical and functional variability. The data is used as a gold-standard to evaluate four SPECT/MRI similarity-based registration methods.
Simulation realism was accounted for using accurate physical models of data generation and acquisition. MRI and SPECT simulations were generated from three subjects to take into account inter-subject anatomical variability. Functional SPECT data were computed from six functional models of brain perfusion. Previous models of normal perfusion and ictal perfusion observed in Mesial Temporal Lobe Epilepsy (MTLE) were considered to generate functional variability. We studied the impact noise and intensity non-uniformity in MRI simulations and SPECT scatter correction may have on registration accuracy.
We quantified the amount of registration error caused by anatomical and functional variability. Registration involving ictal data was less accurate than registration involving normal data. MR intensity non-uniformity was the main factor decreasing registration accuracy. The proposed simulated database is promising to evaluate many functional neuroimaging methods, involving MRI and SPECT data.
KeywordsScatter Correction Normalize Mutual Information Mesial Temporal Lobe Epilepsy Normal Perfusion Anatomical Model
- 2.Buvat, I., Castiglioni, I.: Monte carlo simulations in SPET and PET. Quarterly J. Nucl. Med. 46, 48–59 (2002)Google Scholar
- 8.Weder, B.J., Schindler, K., Loher, T.J., et al.: Brain areas involved in medial temporal lobe seizures: A principal component analysis of ictal spect data. Human Brain Mapp. (2005)Google Scholar
- 10.Aubert-Broche, B., Collins, D.L., Evans, A.C.: A new improved version of the realistic digital brain phantom. Neuroimage (in press, 2006)Google Scholar
- 13.Evans, A.C., Collins, D.L., Mills, S.R., et al.: 3D statistical neuroanatomical models from 305 MRI volumes. In: IEEE Nuclear Science Symposium and Medical Imaging Conference, San Francisco, USA, pp. 1813–1817 (October 1993)Google Scholar
- 15.Harrison, R.L., Vannoy, S.D., Haynor, D.R., et al.: Preliminary experience with the photon history generator module of a public-domain simulation system for emission tomography. In: IEEE Nucl. Sci. Symposium, vol. 2, pp. 1154–1158 (1993)Google Scholar
- 17.Knops, Z.F., Maintz, J.B., Viergever, M.A., Pluim, J.P.: Normalized mutual information based registration using k-means clustering and shading correction. Med. Image Anal. (2005)Google Scholar