Registration of bone surfaces, extracted from CT-datasets, with 3D ultrasound

An essential task of computer assisted surgery is the registration of preoperative image data with the coordinate system of the operating room. This can be reached by using intraoperative imaging and registrating preoperative and intraoperative datasets. For intraoperative imaging ultrasound is a powerful tool due to the lack of ionizing radiation and because of its fast, inexpensive and easy data acquisition. We propose a surface volume matching algorithm for the registration of bone surfaces and ultrasound volume data. The bone surface is estimated from the preoperative CT data by taking into account that ultrasound only shows parts of the bone surface. By our method reliable matching results are obtained. They are shown with data of the lumbar spine.

[1]  F. Lizzi.  Ultrasound Imaging , 1991, Proceedings Technology Requirements for Biomedical Imaging.

[2]  M. Fitzpatrick.  A Review of Medical Image Registration , 1993 .

[3]  Roy W. Martin,et al.  Three-dimensional ultrasound imaging using multiple magnetic tracking systems and miniature magnetic sensors , 1995, 1995 IEEE Ultrasonics Symposium. Proceedings. An International Symposium.

[4]  Russell H. Taylor,et al.  Computer-Integrated Surgery: Technology and Clinical Applications , 1995 .

[5]  Jay B. West,et al.  Predicting error in rigid-body point-based registration , 1998, IEEE Transactions on Medical Imaging.

[6]  Max A. Viergever,et al.  A survey of medical image registration , 1998, Medical Image Anal..

[7]  R W Prager,et al.  Rapid calibration for 3-D freehand ultrasound. , 1998, Ultrasound in medicine & biology.

[8]  Ma Bin-rong,et al.  A review of medical image registration , 1999 .

[9]  David J. Hawkes,et al.  AcouStick: A Tracked A-Mode Ultrasonography System for Registration in Image-Guided Surgery , 1999, MICCAI.

[10]  W. Eric L. Grimson,et al.  An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging , 1999, MICCAI.

[11]  Benoit M. Dawant,et al.  Vertebral surface extraction from ultrasound images for technology-guided therapy , 1999, Medical Imaging.

[12]  T. Peters,et al.  An algorithmic overview of surface registration techniques for medical imaging , 2000, Medical Image Anal..

[13]  A. Gunkel,et al.  [Computer-aided 3D-navigation systems. Survey and location determination]. , 2000, HNO.

[14]  A. Gunkel,et al.  Computerunterstützte 3D-Navigationssysteme , 2000, HNO.

[15]  Jérôme Tonetti,et al.  Percutaneous Computer Assisted Iliosacral Screwing: Clinical Validation , 2000, MICCAI.

[16]  Yoshikazu Nakajima,et al.  Effects of CT threshold value to make a surface bone model on accuracy of shape-based registration in a CT-based navigation system for hip surgery , 2001, CARS.

[17]  Nikolaus Hansen,et al.  Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.

[18]  D M Muratore,et al.  Beam calibration without a phantom for creating a 3-D freehand ultrasound system. , 2001, Ultrasound in medicine & biology.