Anatomy-based multimodal medical image registration for computer-integrated surgery

Ali Hamadeh; Philippe Cinquin; Richard Szeliski; Stephane Lavallee

doi:10.1117/12.189052

6 October 1994 Anatomy-based multimodal medical image registration for computer-integrated surgery

Ali Hamadeh, Philippe Cinquin, Richard Szeliski, Stephane Lavallee

Proceedings Volume 2355, Sensor Fusion VII; (1994) https://doi.org/10.1117/12.189052
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

In Computer Assisted Surgery, the registration between pre-operative images, intra-operative images, anatomical models and guiding systems such as robots is a crucial step. This paper presents the methodology and the algorithms that we have developed to address the problem of rigid-body registration in this context. Our technique has been validated for many clinical cases where we had to register 3D anatomical surfaces with various sensory data. These sensory data can have 3D representation (3D images, range images, digitized 3D points, 2.5D ultrasound data) or they can be 2D projections (X-ray images, video images). This paper presents an overview of the results we have obtained.

Citation Download Citation

Ali Hamadeh, Philippe Cinquin, Richard Szeliski, and Stephane Lavallee "Anatomy-based multimodal medical image registration for computer-integrated surgery", Proc. SPIE 2355, Sensor Fusion VII, (6 October 1994); https://doi.org/10.1117/12.189052

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