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