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Proceedings Paper

Nonlinear registration of medical images using Cauchy-Navier spline transformation
Author(s): Mie Sato; Aboul Ella Hassanien; Masayuki Nakajima
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Paper Abstract

In this paper a new image registration methodology for matching anatomical medical images is presented. It is based on a point-to-point matching methodology that uses the Cauchy- Navier splines transformation to model the deformable anatomical behavior associated with non-rigid body medical image registration. These transformations are illustrated by matching corresponding CT and MR images of the Thorax. By applying Cauchy-Navier splines transformation to landmarks created using segmentation method, an improved performance is achieved. The Cauchy-Navier spline is compared to thin plate spline and multi-quadratic methods.

Paper Details

Date Published: 21 May 1999
PDF: 8 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348634
Show Author Affiliations
Mie Sato, Tokyo Institute of Technology (United States)
Aboul Ella Hassanien, Tokyo Institute of Technology (Egypt)
Masayuki Nakajima, Tokyo Institute of Technology (Japan)

Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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