Data-Driven Motion Detection and Event-by-Event Correction for Brain PET: Comparison with Vicra

• Published in: Journal of Nuclear Medicine Vol. 61; no. 9; pp. 1397 - 1403
• Main Authors: Lu, Yihuan, Naganawa, Mika, Toyonaga, Takuya, Gallezot, Jean-Dominique, Fontaine, Kathryn, Ren, Silin, Revilla, Enette Mae, Mulnix, Tim, Carson, Richard E.
• Format: Journal Article
• Language: English
• Published: United States Society of Nuclear Medicine 01.09.2020
• Subjects: Algorithms; Attenuation; Brain; Brain - diagnostic imaging; Centroids; Head movement; Human motion; Humans; Image degradation; Image Processing, Computer-Assisted - methods; Image quality; Image registration; Motion detection; Motion perception; Movement; Parameter estimation; Physics and Instrumentation; Positron emission; Positron emission tomography; Substantia grisea; Tomography; Tracking devices; event-by-event; motion correction; data-driven; motion detection; PET

Head motion degrades image quality and causes erroneous parameter estimates in tracer kinetic modeling in brain PET studies. Existing motion correction methods include frame-based image registration (FIR) and correction using real-time hardware-based motion tracking (HMT) information. However, FIR c...