A framework for parameter optimization in mutual information (MI)-based registration algorithms

Girish Gopalakrishnan; S. V. Bharath Kumar; Rakesh Mullick; Ajay Narayanan; Srikanth Suryanarayanan

doi:10.1117/12.653137

10 March 2006 A framework for parameter optimization in mutual information (MI)-based registration algorithms

Girish Gopalakrishnan, S. V. Bharath Kumar, Rakesh Mullick, Ajay Narayanan, Srikanth Suryanarayanan

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61442Q (2006) https://doi.org/10.1117/12.653137
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

In this paper, we present a framework that one could use to set optimized parameter values, while performing image registration using mutual information as a metric to be maximized. Our experiment details these steps for the registration of X-ray Computer Tomography (CT) images with Positron Emission Tomography (PET) images. Selection of different parameters that influence the mutual information between two images is crucial for both accuracy and speed of registration. These implementation issues need to be handled in an orderly fashion by designing experiments in their operating ranges. The conclusions from this study seem vital towards obtaining allowable parameter range for a fusion software.

Citation Download Citation

Girish Gopalakrishnan, S. V. Bharath Kumar, Rakesh Mullick, Ajay Narayanan, and Srikanth Suryanarayanan "A framework for parameter optimization in mutual information (MI)-based registration algorithms", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61442Q (10 March 2006); https://doi.org/10.1117/12.653137

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