1. Rigid Motion Correction for Brain PET/MR Imaging using Optical Tracking
- Author
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Mohammad Mehdi Khalighi, Phillip DiGiacomo, Michael Zeineh, Charlotte Hoo, Matthew G. Spangler-Bickell, Dan Rettmann, Roland Bammer, Julian Maclaren, Floris Jansen, Murat Aksoy, and Greg Zaharchuk
- Subjects
Scanner ,Computer science ,business.industry ,Reconstruction algorithm ,Iterative reconstruction ,Tracking (particle physics) ,Motion capture ,Atomic and Molecular Physics, and Optics ,Article ,Optical tracking ,Neuroimaging ,Radiology, Nuclear Medicine and imaging ,Computer vision ,Artificial intelligence ,Adaptive optics ,business ,Instrumentation - Abstract
A significant challenge during high-resolution PET brain imaging on PET/MR scanners is patient head motion. This challenge is particularly significant for clinical patient populations who struggle to remain motionless in the scanner for long periods of time. Head motion also affects the MR scan data. An optical motion tracking technique, which has already been demonstrated to perform MR motion correction during acquisition, is used with a list-mode PET reconstruction algorithm to correct the motion for each recorded event and produce a corrected reconstruction. The technique is demonstrated on real Alzheimer’s disease patient data for the GE SIGNA PET/MR scanner.
- Published
- 2019