alexa From CT to NURBS: Contour fitting with B-spline curves
Neurology

Neurology

Journal of Spine

Author(s): Olya Grove, Khairan Rajab, Les A Piegl, Susana LaiYuen

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This paper deals with the challenging task of computing accurate contours from CT and MRI scans using B-spline curve approximation. To date bio-modeling and visualization have been performed primarily on voxel and facet (triangle) based models. On the other hand, traditional CAD has reached a level of sophistication where just about any object can be designed, prototyped and manufactured using well-refined CAD modeling and manufacturing tools. NURBS, the de facto standard to represent geometry in CAD systems, have been the building blocks of CAD modeling and will be used in this paper to perform a critical task for bio-fabrication of human components. Although at first glance it may seem that contour fitting is a trivial task, the details presented in this paper reveal that traditional techniques are not readily adaptable to medical data and several fundamental algorithms had to be completely rewritten to account for the characteristics of human organs. The emphasis of this research is placed on accuracy and shape fidelity (precise surgical operation), speed (real-time simulation), smoothness (the discrete volumetric or faceted data should be replaced by smooth curves), and data reduction (the large amount of image data must be reduced by at least 60-80%).

This article was published in  Computer-Aided Design and Applications and referenced in Journal of Spine

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