Breaking Through the Blur: Improving PET Imaging of Tau Deposition in Dementia using Motion Correction

Figure 5: Comparison between Motion Corrected (MC) and Non-MC (NMC) images for one subject with notable motion. The blurring introduced in the NMC image led to a higher SUVR in the lateral ventricle region (delineated). The region borders are well-defined in the MC image, and the lower SUVR is expected for a cold region.

Researchers at CMITT have been focused on improving the accuracy of PET imaging for detecting tau deposition, a hallmark of Alzheimer’s disease, by addressing the challenges posed by head motion during image acquisition. The researchers developed a motion correction method that effectively compensates for head movement during PET scans. They tested the method on a large dataset of PET studies using an imaging agent called [18F]-MK6240. By comparing motion-corrected and non-motion-corrected images, they found that the correction method reduced blurring and improved the accuracy of quantitative measures. Importantly, it also decreased the variability in tau accumulation rates across subjects, which is valuable for longitudinal studies and clinical trials related to Alzheimer’s disease treatment.

Tiss A, Marin T, Chemli Y, Spangler-Bickell M, Gong K, Lois C, Petibon Y, Landes V, Grogg K, Normandin M, Becker A, Thibault E, Johnson K, El Fakhri G, Ouyang J. Impact of motion correction on [F]-MK6240 tau PET imaging. Phys Med Biol 2023 68 (10):