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Improving Influx Constant and Ratio Estimation in FDOPA Brain PET Analysis for Parkinson’s Disease

¹ Siemens Molecular Imaging, Oxford, United Kingdom
² Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, California

View larger version (83K): [in a new window]   FIGURE 1. Registered images with subputamen ROIs. (A) Right striatum registered to AAL template (single axial slice; registered region highlighted). Note that a new transformation will be needed to register the left striatum. (B) Cerebellum and left striatum registered to AAL template (single sagittal slice).

View larger version (9K): [in a new window]   FIGURE 2. Average (dashed line) and maximum (solid line) translation (A) and rotation (B) over all 49 datasets against scan time.

View larger version (13K): [in a new window]   FIGURE 3. Variations of Kic values obtained from 3-dimensional ROIs (), ratios obtained from 3-dimensional ROIs (), and Kic values obtained using 2-dimensional manual ROIs ().

View larger version (16K): [in a new window]   FIGURE 4. Box-and-whisker plot showing range of Kic values (A) and Rs-to-c values (B) for different striatum proportions (using 50% of cerebellum voxels). Boxes indicate lower and upper quartiles and median.

View larger version (17K): [in a new window]   FIGURE 5. Correlation (r2) between Rs-to-c values and Kic values: both plots show the same 8 regions of all 49 cases (caudate as crosses, putamen regions as dots), with the best-fit lines relating the static and dynamic values in (A) shown for each region separately (caudate dashed, putamen solid); (B) shows the same data except that the best-fit lines are computed for left and right caudate regions together (dashed) and all 6 putamen regions (left and right) combined (solid).

View larger version (26K): [in a new window]   FIGURE 6. Variation in correlation between Patlak and static analysis values with different proportions of voxels from cerebellum and striatum.