An integrated CT-imaging, CAD-based system for orthopedic surgery

Wu, Chia‐Ju; Stulberg, David; Papaioannou, John; Huang, Hua; Hwang, Kao-Shing; Kienzle, T.

doi:10.1109/robot.1993.292090

Cited by 3 publications

(3 citation statements)

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“…This paper does not address such "system" aspects of registration or immobilization, but rather concentrates on techniques and devices for individual steps in registration and immobilization. While much of the discussion which follows is in the context of our total knee replacement (TKR) system 5,14 , it is applicable to many orthopedic procedures.…”

Section: Registration and Fiducialsmentioning

confidence: 99%

“…To improve the surgical outcome of these procedures, we have developed an integrated system consisting of a graphics workstation for preoperative planning and a computercontrolled robot for assistance during surgery 5,14 . Preoperatively, CT-based threedimensional (3D) models of the patient's femur and tibia are used to plan the placement of the prosthetic components.…”

Section: Computer Assisted Total Knee Replacement Surgerymentioning

confidence: 99%

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Registration and immobilization in robot-assisted surgery

Lea

Watkins

Mills

et al. 1995

J. Image Guid. Surg.

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Robotic systems for computer assisted surgery involve both tools and techniques which are new to the surgical arena. Registration and immobilization in particular are key problems. Registration is the spatial alignment of the coordinate frames of the robot, an anatomic object (e.g., a bone), and the preoperative plan (a computer model). Immobilization is necessary to maintain that alignment. We discuss various approaches to registration and immobilization, and solutions appropriate for an orthopedic surgical system.

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Section: Registration and Fiducialsmentioning

confidence: 99%

Section: Computer Assisted Total Knee Replacement Surgerymentioning

confidence: 99%

Registration and immobilization in robot-assisted surgery

Lea

Watkins

Mills

et al. 1995

J. Image Guid. Surg.

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show abstract

“…The reconstructed 3D models can provide valuable medical information and can be used as a powerful diagnostic tool for surgeons to understand the complex internal anatomy of a patient. They can also be used to fabricate prostheses and to perform various simulation and analysis tasks [1,2,3].…”

Section: Introductionmentioning

confidence: 99%

Contour-based algorithms for generating 3D CAD models from medical images

Ryu

Kim

Lee

2003

The International Journal of Advanced Manufacturing Technology

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This paper concerns contour-based algorithms for generating a 3D CAD model from medical images. The 3D model generated by contour-based algorithms can be used to generate CAM data for fabrication where the accuracy is of most concern. The overall procedure includes: (1) contour data extraction from medical images, (2) smoothing of the extracted contours, and (3) creation of a surface model from contours. For this, various methods should be applied to generate a highquality surface model. The main contribution of this paper is to propose a new contour smoothing method, called bi-directional smoothing. The basic idea behind the proposed bi-directional smoothing method is to refine contours along both (u, v) parametric directions. Compared to conventional smoothing methods, the recontouring that comprises the first part of the method can prevent the shape of a contour from shrinking with a large number of iterations. Along with recontouring, a vertical connectivity estimation and a vertical smoothing method are also proposed. The overall procedure for this approach is demonstrated with an application example using CT images of a femur.

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Literaturverzeichnis

Barrera¹

1996

Ein Durchgängiges System Zur Computer- Und Roboterunterstützten Chirurgie

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An integrated CT-imaging, CAD-based system for orthopedic surgery

Cited by 3 publications

References 1 publication

Registration and immobilization in robot-assisted surgery

Registration and immobilization in robot-assisted surgery

Contour-based algorithms for generating 3D CAD models from medical images

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