DocumentCode
1796433
Title
CNN based movement correction in thermography for intrasurgical diagnostics
Author
Senger, Vanessa ; Schierling, Lennart ; Muller, Johannes ; Tetzlaff, Ronald
Author_Institution
Fundamentals of Electr. Eng., Tech. Univ. Dresden, Dresden, Germany
fYear
2014
fDate
29-31 July 2014
Firstpage
1
Lastpage
2
Abstract
In this contribution, we present an algorithm aimed at the correction of a movement artifact in thermographic images recorded during neurosurgery. It is based on Cellular Nonlinear Networks (CNN) and was designed as a first step towards a platform capable of providing intraoperative feedback to a surgeon.
Keywords
biomedical optical imaging; cellular neural nets; infrared imaging; medical image processing; neurophysiology; recurrent neural nets; surgery; CNN based movement correction; cellular nonlinear networks; intraoperative feedback; intrasurgical diagnostics; movement artifact; neurosurgery; thermographic images; Adaptive optics; Algorithm design and analysis; Equations; Image edge detection; Mathematical model; Neurosurgery;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location
Notre Dame, IN
Type
conf
DOI
10.1109/CNNA.2014.6888660
Filename
6888660
Link To Document