DocumentCode :
686638
Title :
Markerless motion tracking for motion-compensated clinical imaging
Author :
Kyme, Andre ; Se, Stephen ; Meikle, Steven ; Fulton, Roger
Author_Institution :
Fac. of Health Sci., Univ. of Sydney, Sydney, NSW, Australia
fYear :
2013
fDate :
Oct. 27 2013-Nov. 2 2013
Firstpage :
1
Lastpage :
4
Abstract :
Motion-compensated brain imaging can dramatically reduce image artifacts and degradation associated with head motion. However, it has been slow to enter routine clinical use, and remained largely a research tool. One possible reason for this is the lack of a practical motion tracking method for the clinical setting. Here we present the initial validation of a highly convenient markerless motion tracking method, previously developed for motion-compensated PET imaging of rats, for human head motion estimation in a mock imaging scenario. Sixteen reclining volunteers followed the projected path of a robotically controlled laser beam during a 2 min experiment in which their resulting head motion was simultaneously tracked at 30 Hz from the anterior and posterior using the markerless system and a marker-based system, respectively. Motion estimates were compared in a common coordinate system and generally showed excellent agreement, especially in early frames (RMSE of 1-3 mm). Larger discrepancies were associated with the unwanted detection of non-rigid features which could be prevented in future studies. These results are a promising first step in translating the markerless tracking system to clinical use.
Keywords :
brain; feature extraction; laser applications in medicine; medical image processing; medical robotics; motion compensation; motion estimation; positron emission tomography; frequency 30 Hz; human head motion estimation; image artifact reduction; image degradation reduction; markerless motion tracking method; motion-compensated PET imaging; motion-compensated brain imaging; nonrigid feature detection; robotically controlled laser beam; root mean sqaure error; time 2 min; Biomedical optical imaging; Face; Feature extraction; Positron emission tomography; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-0533-1
Type :
conf
DOI :
10.1109/NSSMIC.2013.6829065
Filename :
6829065
Link To Document :
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