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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2006
Subtitle of host publicationImage Processing
StatePublished - 2006
EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
Duration: Feb 13 2006Feb 16 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6144 II
ISSN (Print)1605-7422


OtherMedical Imaging 2006: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


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