Abstract
Computer Aided Surgery (CAS) systems help surgeons in planning the operation accurately, resulting in costs reducing, clinical outcome improving and enhancing of the health care delivery efficiency. This paper describes the Hip-Op system, which is a novel software for the preoperative planning of total hip replacement. The software uses a fully three-dimensional (3D) internal representation of the patient anatomy, derived from Computed Tomography data. The user interface is based on an innovative visualization paradigm, called Multimodal Display, and represents the anatomical objects by means of multiple views, which are familiar to medical professionals. Besides the original CT slices, also two synthetically generated radiographs are available, as well as a surface rendering view. The surgeon can load prosthetic models into the planning software environment, selecting them from those available in the implant database. Then he can perform a virtual surgery procedure in order to plan the proper position and orientation of the prosthesis within the host femur. Analysis modules allow to evaluate the planning from a biomechanical point of view. Hip-Op version 1.3 is currently available as freeware at 'http://www.ior.it/hipop'.
Original language | English |
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Title of host publication | Proceedings - 1st International Symposium on 3D Data Processing Visualization and Transmission, 3DPVT 2002 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 808-811 |
Number of pages | 4 |
ISBN (Print) | 0769515215, 9780769515212 |
DOIs | |
Publication status | Published - 2002 |
Event | 1st International Symposium on 3D Data Processing Visualization and Transmission, 3DPVT 2002 - Padova, Italy Duration: Jun 19 2002 → Jun 21 2002 |
Other
Other | 1st International Symposium on 3D Data Processing Visualization and Transmission, 3DPVT 2002 |
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Country/Territory | Italy |
City | Padova |
Period | 6/19/02 → 6/21/02 |
ASJC Scopus subject areas
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Signal Processing