On transcending the impasse of respiratory motion correction applications in routine clinical imaging - a consideration of a fully automated data driven motion control framework.
Positron emission tomography (PET) is increasingly used for the detection, characterization, and follow-up of tumors located in the thorax. However, patient respiratory motion presents a unique limitation that hinders the application of high-resolution PET technology for this type of imaging. Efforts to transcend this limitation have been underway for more than a decade, yet PET remains for practical considerations a modality vulnerable to motion-induced image degradation. Respiratory motion control is not employed in routine clinical operations. In this article, we take an opportunity to highlight some of the recent advancements in data-driven motion control strategies and how they may form an underpinning for what we are presenting as a fully automated data-driven motion control framework. This framework represents an alternative direction for future endeavors in motion control and can conceptually connect individual focused studies with a strategy for addressing big picture challenges and goals.
Division of Nuclear Medicine, Department of Radiology, Anschutz Medical Campus, University of Colorado Denver, 12700 E 19th Ave, Box C-278, Aurora, CO, 80045, USA. adam.kesner@ucdenver.edu.
Adam L
AL
Kesner
Division of Imaging Sciences and Biomedical Engineering, King's College London, London, WC2R 2LS, UK. paul.schleyer@kcl.ac.uk.
Paul J
PJ
Schleyer
European Institute for Molecular Imaging, University of Münster, Münster, 48149, Germany. florian.buether@uni-muenster.de.
Florian
F
Büther
Institute of Nuclear Medicine and Department of Clinical Research, University Hospital Bern, Bern, 3010, Switzerland. martin.alexander.walter@gmail.com.
Martin A
MA
Walter
European Institute for Molecular Imaging, University of Münster, Münster, 48149, Germany. schafkl@uni-muenster.de.
Klaus P
KP
Schäfers
Division of Nuclear Medicine, Department of Radiology, Anschutz Medical Campus, University of Colorado Denver, 12700 E 19th Ave, Box C-278, Aurora, CO, 80045, USA. Phillip.Koo@ucdenver.edu.
Phillip J
PJ
Koo
Data-driven gating; Motion control framework; Motion correction; PET; Respiratory gating; Signal optimization