DocumentCode :
667294
Title :
Preliminary study on optical feature detection for head tracking in radiation therapy
Author :
Wissel, Tobias ; Stuber, Patrick ; Wagner, Bernardo ; Bruder, Ralf ; Schweikard, Achim ; Ernst, Floris
Author_Institution :
Inst. for Robot. & Cognitive Syst., Univ. of Lubeck, Lübeck, Germany
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Marker-less tracking provides a non-invasive as well as comfortable approach to compensate for head motion in high precision radiotherapy. However, it suffers from a lack of point-to-point correspondences, typically requiring characteristic spatial landmarks to match point clouds. In this study, we show that cutaneous and subcutaneous structures can be uncovered using an 850 nm laser setup. For three subjects, we compare features extracted from camera images with MR scans serving as an anatomical ground truth. The results confirm the validity of the optically detected structures. The negative correlation between skin thickness and reflected light energy is likewise predicted by Monte-Carlo simulations and can be used to improve spatial point cloud matching. Tissue thickness and its facial structure can be predicted with submillimeter accuracy using a Support Vector regression machine. In addition, the optical measurements reveal the location of vessels that are not immediately visible in the MR scan. These promising findings highly encourage its application for a marker-less tracking system.
Keywords :
Monte Carlo methods; biomedical MRI; biomedical optical imaging; blood vessels; cameras; feature extraction; image matching; laser applications in medicine; medical image processing; motion compensation; radiation therapy; regression analysis; skin; support vector machines; tracking; MR scans; Monte-Carlo simulations; camera images; facial structure; features extraction; head motion compensation; head tracking; laser setup; magnetic resonance imaging; marker-less tracking system; optical feature detection; optical measurements; radiation therapy; reflected light energy; skin thickness; spatial point cloud matching; submillimeter accuracy; support vector regression machine; tissue thickness; vessels; wavelength 850 nm; Accuracy; Adaptive optics; Correlation; Feature extraction; Forehead; Optical imaging; Skin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on
Conference_Location :
Chania
Type :
conf
DOI :
10.1109/BIBE.2013.6701632
Filename :
6701632
Link To Document :
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