Narrow Band to Image Registration in the Insight Toolkit

This paper introduces the new concept of narrow-band to image registration. Narrow-banding is a common technique used in the solution of level set approaches to image processing. For our application, the narrow-band describes the shape of an object by using a data structure containing the signed distance values at a small band of neighboring pixels. This compact representation of an object is well suited for performing registration against a standard image as well as against another narrow-band. The novel technique was implemented in the registration framework of the NLM Insight Toolkit (ITK). This implementation illustrates the great advantage of a modular framework structure that allows researchers to concentrate in the interesting aspects of a new algorithm by building on an existing set of predefined components for providing the rest of standard functionalities that are required.

[1]  Baba C. Vemuri,et al.  Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Max A. Viergever,et al.  A survey of medical image registration , 1998, Medical Image Anal..

[3]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[4]  Steven W. Zucker,et al.  Logical/Linear Operators for Image Curves , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Guillermo Sapiro,et al.  Geodesic Active Contours , 1995, International Journal of Computer Vision.

[6]  Jürgen Weese,et al.  A comparison of similarity measures for use in 2-D-3-D medical image registration , 1998, IEEE Transactions on Medical Imaging.

[7]  James A. Sethian,et al.  Level Set Methods and Fast Marching Methods , 1999 .

[8]  Gunilla Borgefors,et al.  Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm , 1988, IEEE Trans. Pattern Anal. Mach. Intell..