DocumentCode :
1824708
Title :
A method for frame-by-frame us to CT registration in a joint calibration and registration framework
Author :
Peterhans, Matthias ; Talib, Haydar ; Linguraru, Marius G. ; Styner, Martin ; Ballester, Miguel A Gonzalez
Author_Institution :
Inst. for Surg. Technol. & Biomech., Univ. of Bern, Bern
fYear :
2008
fDate :
14-17 May 2008
Firstpage :
1131
Lastpage :
1134
Abstract :
A method is presented for achieving robust joint calibration and registration in ultrasound (US) to CT registration for computer assisted orthopedic surgery. We propose using an effectively real-time frame- by-frame registration algorithm during US image acquisition. This approach provides more control to the surgeon, is more robust to initial conditions, and is computationally efficient. We then use the estimated registration of the frame-by-frame method to initialize a joint calibration and registration algorithm, and this is shown to produce over all more accurate and repeatable results. Experiments are performed using simulated US images of the lumbar vertebra and the distal femur as potential areas of interest for surgical applications.
Keywords :
biomedical ultrasonics; bone; computerised tomography; image registration; medical image processing; orthopaedics; surgery; US image acquisition; US-CT image registration; computer assisted orthopedic surgery; computerise tomography; distal femur; joint calibration; joint registration; lumbar vertebra; ultrasound imaging; Anatomy; Application software; Bones; Calibration; Computed tomography; Joints; Navigation; Orthopedic surgery; Surges; Ultrasonic imaging; Kalman filtering; Point-to-surface registration; calibration; computer-assisted surgery; ultrasound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-2002-5
Electronic_ISBN :
978-1-4244-2003-2
Type :
conf
DOI :
10.1109/ISBI.2008.4541200
Filename :
4541200
Link To Document :
بازگشت