List-Mode PET Motion Correction Using Markerless Head Tracking: Proof-of-Concept With Scans of Human Subject

A custom designed markerless tracking system was demonstrated to be applicable for positron emission tomography (PET) brain imaging. Precise head motion registration is crucial for accurate motion correction (MC) in PET imaging. State-of-the-art tracking systems applied with PET brain imaging rely o...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2013-02, Vol.32 (2), p.200-209
Main Authors: Olesen, O. V., Sullivan, J. M., Mulnix, T., Paulsen, R. R., Hojgaard, L., Roed, B., Carson, R. E., Morris, E. D., Larsen, R.
Format: Article
Language:English
Subjects:
Algorithms
Anatomic Landmarks - diagnostic imaging
Brain - diagnostic imaging
Fiducial Markers
Head
Head Movements
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image reconstruction
Motion
Motion correction
motion tracking
Phantoms
Pilot Projects
Positron emission tomography
positron emission tomography (PET)
Positron-Emission Tomography - methods
Reproducibility of Results
Sensitivity and Specificity
Tracking
vision system
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Summary:A custom designed markerless tracking system was demonstrated to be applicable for positron emission tomography (PET) brain imaging. Precise head motion registration is crucial for accurate motion correction (MC) in PET imaging. State-of-the-art tracking systems applied with PET brain imaging rely on markers attached to the patient's head. The marker attachment is the main weakness of these systems. A healthy volunteer participating in a cigarette smoking study to image dopamine release was scanned twice for 2 h with 11 C-racolopride on the high resolution research tomograph (HRRT) PET scanner. Head motion was independently measured, with a commercial marker-based device and the proposed vision-based system. A list-mode event-by-event reconstruction algorithm using the detected motion was applied. A phantom study with hand-controlled continuous random motion was obtained. Motion was time-varying with long drift motions of up to 18 mm and regular step-wise motion of 1-6 mm. The evaluated measures were significantly better for motion-corrected images compared to no MC. The demonstrated system agreed with a commercial integrated system. Motion-corrected images were improved in contrast recovery of small structures.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2012.2219693