Cattell L, Schnabel JA, Declerck J, Hutton C (2015)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2015
Publisher: Kluwer Academic Publishers
Series: Lecture Notes in Computational Vision and Biomechanics
Book Volume: 22
Pages Range: 197-205
DOI: 10.1007/978-3-319-18431-9_17
Previous studies have demonstrated that quantification of 18F-florbetapir uptake in the brain can be used to distinguish between populations of Alzheimers disease (AD) patients and healthy controls. Typically, quantification involves the calculation of standardised uptake value ratios (SUVRs), which requires registration to a template space in which regions of interest are defined. Consequently, SUVRs could be affected by the registration method used. We examine the effect of PETbased, MR-based and joint PET-MR registration on the SUVR. To achieve this, we introduce a joint-modality image-to-template registration framework that allows for variable contributions of PET and MR data to the registration process. We extend this further by proposing a method to determine the optimum combination of PET and MR information at each voxel. Following registrations of 100 subjects from the Alzheimers Disease Neuroimaging Initiative database, we show that there is a significant separation inmeanSUVRbetween populations ofADpatients and healthy controls for all registration methods. MR-only and PET-MR based methods slightly outperformed PET-only registration, however, diagnostic power was not affected by the registration method.
APA:
Cattell, L., Schnabel, J.A., Declerck, J., & Hutton, C. (2015). Investigation of single- versus joint-modality PET-MR registration for 18F-florbetapir quantification: Application to alzheimer’s disease. In (pp. 197-205). Kluwer Academic Publishers.
MLA:
Cattell, Liam, et al. "Investigation of single- versus joint-modality PET-MR registration for 18F-florbetapir quantification: Application to alzheimer’s disease." Kluwer Academic Publishers, 2015. 197-205.
BibTeX: Download