DocumentCode :
3420360
Title :
Detection of electrical stimulation position in recorded surgery videos of cortical mapping in awake brain surgery
Author :
Suganuma, Masanori ; Nagao, T.
Author_Institution :
Grad. Sch. of Environ. & Inf. Sci., Yokohama Nat. Univ., Yokohama, Japan
fYear :
2013
fDate :
13-13 July 2013
Firstpage :
131
Lastpage :
136
Abstract :
Awake brain surgery is performed for the purpose of preserving brain functions and removing brain tumors as possible when the tumors are in or near the eloquent area like the language area and the motor area. In this surgery, detecting functionally essential cortical areas is important process which is performed with direct electrical stimulation using an electrode by surgeons, and this process is called cortical mapping. Cortical mapping requires sophisticated techniques of surgeons because it needs a lot of experience and knowledge for selecting electrical stimulation position and current intensity. Hence it is needed to extract techniques of expert surgeons by analyzing recorded surgery videos performed by expert surgeons. Surgery videos recoded during operations, however, are not suitable for analysis due to these videos are recorded for postoperative evaluation. Then tagging specific scenes like electrical stimulation has been performed in manual with a lot of labor. Therefore, in this paper, we propose a method to automatically detect the position of electrical stimulation in surgery videos of cortical mapping. The proposed method employs the shape characteristics of an electrode, a classifier using Real AdaBoost and a tracking using mean-shift algorithm. We apply the proposed method to three different recorded surgery videos, and experimental results show that our method detects the tip of an electrode with high accuracy.
Keywords :
brain; electrodes; medical signal processing; surgery; tumours; video signal processing; awake brain surgery; brain functions; brain tumors; cortical areas; cortical mapping; current intensity; detecting functionally; electrical stimulation position detection; electrode; expert surgeons; language area; mean shift algorithm; motor area; postoperative evaluation; real AdaBoost; recorded surgery videos; Electrical stimulation; Electrodes; Feature extraction; Image color analysis; Shape; Surgery; Videos; classifier; cortical mapping; electrical stimulation; shape characteristics; surgery videos; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence & Applications (IWCIA), 2013 IEEE Sixth International Workshop on
Conference_Location :
Hiroshima
ISSN :
1883-3977
Print_ISBN :
978-1-4673-5725-8
Type :
conf
DOI :
10.1109/IWCIA.2013.6624800
Filename :
6624800
Link To Document :
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