TY - GEN
T1 - Real time medical instrument detection and tracking in microsurgery
AU - Alsheakhali, Mohamed
AU - Yigitsoy, Mehmet
AU - Eslami, Abouzar
AU - Navab, Nassir
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2015.
PY - 2015
Y1 - 2015
N2 - The detection of surgical instruments in real time is one of the most challenging problems in retinal microsurgery operations. The instrument’s deformable shape, the presence of its shadow, and the illumination variations are the main contributors for such challenge. A new approach for the detection of the tip of the surgical tool is proposed, which can handle the shape deformation, and the presence of the its shadow or the presence of blood vessels. The approach starts by segmenting the tool-like objects using the L*a*b color model. One of these segments is selected as the target tool based on tool’s shaft model. The probabilistic Hough transform was used to get the structural information which can guide us to optimize the best possible candidates’ locations to fit the tool model. The detected tool tip and its slope are propagated between the frames in the images sequence. Experimental results demonstrate the high accuracy of this technique in addition to achieve the real time requirements.
AB - The detection of surgical instruments in real time is one of the most challenging problems in retinal microsurgery operations. The instrument’s deformable shape, the presence of its shadow, and the illumination variations are the main contributors for such challenge. A new approach for the detection of the tip of the surgical tool is proposed, which can handle the shape deformation, and the presence of the its shadow or the presence of blood vessels. The approach starts by segmenting the tool-like objects using the L*a*b color model. One of these segments is selected as the target tool based on tool’s shaft model. The probabilistic Hough transform was used to get the structural information which can guide us to optimize the best possible candidates’ locations to fit the tool model. The detected tool tip and its slope are propagated between the frames in the images sequence. Experimental results demonstrate the high accuracy of this technique in addition to achieve the real time requirements.
UR - https://www.scopus.com/pages/publications/85012165227
U2 - 10.1007/978-3-662-46224-9_33
DO - 10.1007/978-3-662-46224-9_33
M3 - Conference contribution
AN - SCOPUS:85012165227
SN - 9783662462232
T3 - Informatik aktuell
SP - 185
EP - 190
BT - Bildverarbeitung fur die Medizin 2015
A2 - Deserno, Thomas Martin
A2 - Tolxdorff, Thomas
A2 - Handels, Heinz
A2 - Meinzer, Hans-Peter
PB - Kluwer Academic Publishers
T2 - Workshops on Image Processing for Medicine,2015:Algorthim-Systems-Applications
Y2 - 15 March 2015 through 17 March 2015
ER -