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

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

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

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Medical Imaging 2006
Subtitle of host publication	Image Processing
DOIs	https://doi.org/10.1117/12.653137
State	Published - 2006
Event	Medical Imaging 2006: Image Processing - San Diego, CA, United States Duration: Feb 13 2006 → Feb 16 2006

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	6144 II
ISSN (Print)	1605-7422

Other

Other	Medical Imaging 2006: Image Processing
Country/Territory	United States
City	San Diego, CA
Period	2/13/06 → 2/16/06

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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10.1117/12.653137

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title = "A framework for parameter optimization in mutual information (MI)-based registration algorithms",

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.",

author = "Girish Gopalakrishnan and {Bharath Kumar}, {S. V.} and Rakesh Mullick and Ajay Narayanan and Srikanth Suryanarayanan",

year = "2006",

doi = "10.1117/12.653137",

language = "English (US)",

isbn = "0819464236",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

booktitle = "Medical Imaging 2006",

note = "Medical Imaging 2006: Image Processing ; Conference date: 13-02-2006 Through 16-02-2006",

}

Gopalakrishnan, G, Bharath Kumar, SV, Mullick, R, Narayanan, A & Suryanarayanan, S 2006, A framework for parameter optimization in mutual information (MI)-based registration algorithms. in Medical Imaging 2006: Image Processing., 61442Q, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 6144 II, Medical Imaging 2006: Image Processing, San Diego, CA, United States, 2/13/06. https://doi.org/10.1117/12.653137

A framework for parameter optimization in mutual information (MI)-based registration algorithms. / Gopalakrishnan, Girish; Bharath Kumar, S. V.; Mullick, Rakesh et al.
Medical Imaging 2006: Image Processing. 2006. 61442Q (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6144 II).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A framework for parameter optimization in mutual information (MI)-based registration algorithms

AU - Gopalakrishnan, Girish

AU - Bharath Kumar, S. V.

AU - Mullick, Rakesh

AU - Narayanan, Ajay

AU - Suryanarayanan, Srikanth

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

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T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2006

T2 - Medical Imaging 2006: Image Processing

Y2 - 13 February 2006 through 16 February 2006

ER -

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

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