DocumentCode :
184481
Title :
Motion correction of thermographic images in neurosurgery: Performance comparison
Author :
Senger, Vanessa ; Hoffmann, Nico ; Muller, Johannes ; Hollmach, Julia ; Schnabel, Christian ; Radev, Yordan ; Muller, Johannes ; Kirsch, Matthias ; Petersohn, Uwe ; Steiner, Gerald ; Koch, Ed ; Tetzlaff, Ronald
Author_Institution :
Fundamentals of Electr. Eng., Tech. Univ. Dresden, Dresden, Germany
fYear :
2014
fDate :
22-24 Oct. 2014
Firstpage :
121
Lastpage :
124
Abstract :
In this paper, the correction of motion-induced high frequency artifacts on sequences of thermographic images by a real-time capable approach based on Cellular Nonlinear Networks (CNN) is evaluated. For comparison, an offline analysis of frequency subspaces is presented and results will be compared. Both simulated data sets as well as data sets recorded during neurosurgery are considered as inputs and two measures are evaluated.
Keywords :
biomedical optical imaging; image motion analysis; image sequences; infrared imaging; medical image processing; neurophysiology; surgery; CNN; Cellular Nonlinear Networks; frequency subspaces; motion-induced high frequency artifact correction; neurosurgery; offline analysis; real-time capable approach; simulated data sets; thermographic image sequences; Cameras; Equations; Hardware; Mathematical model; Neurosurgery; Real-time systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
Conference_Location :
Lausanne
Type :
conf
DOI :
10.1109/BioCAS.2014.6981660
Filename :
6981660
Link To Document :
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