Interpolation Artefact Reduction by Statistical Approach in Mutual Information-based Image Registration

Hongjiang Su; Paul C. Miller; Fionn Murtagh

doi:10.1117/12.605092

Interpolation Artefact Reduction by Statistical Approach in Mutual Information-based Image Registration

Hongjiang Su, Paul C. Miller, Fionn Murtagh

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

2 Citations (Scopus)

Abstract

Mutual information-based image registration has been verified to be quite effective in many clinical applications. However, when calculating the mutual information between two working images, we need to estimate the grey values of the transformed image by interpolation on the reference image, which introduces regular artefacts in the registration function. In this paper, we analyse the underling mechanism of the artefacts, and present a new statistical interpolation, which will not introduce new intensities. In addition, it also breaks the conformity of the interpolation points, which is considered as a major contributing factor to the artefacts in commonly used interpolations. These characteristics make the registration function much smoother, enabling easier convergence to a global extreme. Experimental results on clinical images verify these advantages.

Original language	English
Title of host publication	Opto-Ireland 2005
Subtitle of host publication	Imaging and Vision
Editors	Fionn D. Murtagh
Publisher	SPIE
Pages	200-208
Number of pages	9
Volume	5823
ISBN (Print)	9780819458087, 0819458082
DOIs	https://doi.org/10.1117/12.605092
Publication status	Published - 1 Jun 2005
Externally published	Yes
Event	Opto-Ireland 2005 - Dublin, Ireland Duration: 4 Apr 2005 → 6 Apr 2005 https://books.google.co.uk/books/about/Imaging_and_Vision.html?id=FfRRAAAAMAAJ&redir_esc=y https://spie.org/Publications/Proceedings/Volume/5823

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	SPIE
Volume	5823
ISSN (Print)	0277-786X

Conference

Conference	Opto-Ireland 2005
Country/Territory	Ireland
City	Dublin
Period	4/04/05 → 6/04/05
Other	Imaging and Vision
Internet address	https://books.google.co.uk/books/about/Imaging_and_Vision.html?id=FfRRAAAAMAAJ&redir_esc=y https://spie.org/Publications/Proceedings/Volume/5823

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title = "Interpolation Artefact Reduction by Statistical Approach in Mutual Information-based Image Registration",

abstract = "Mutual information-based image registration has been verified to be quite effective in many clinical applications. However, when calculating the mutual information between two working images, we need to estimate the grey values of the transformed image by interpolation on the reference image, which introduces regular artefacts in the registration function. In this paper, we analyse the underling mechanism of the artefacts, and present a new statistical interpolation, which will not introduce new intensities. In addition, it also breaks the conformity of the interpolation points, which is considered as a major contributing factor to the artefacts in commonly used interpolations. These characteristics make the registration function much smoother, enabling easier convergence to a global extreme. Experimental results on clinical images verify these advantages.",

keywords = "Image registration, Mutual information, Statistical interpolation, Statistical analysis, Error analysis, Magnetic resonance imaging, Statistical modeling, Computed tomography, Image information entropy, Distortion, Image segmentation, Electronics",

author = "Hongjiang Su and Miller, {Paul C.} and Fionn Murtagh",

year = "2005",

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day = "1",

doi = "10.1117/12.605092",

language = "English",

isbn = "9780819458087",

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series = "Proceedings of SPIE - The International Society for Optical Engineering",

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pages = "200--208",

editor = "Murtagh, {Fionn D.}",

booktitle = "Opto-Ireland 2005",

address = "United States",

note = "Opto-Ireland 2005 ; Conference date: 04-04-2005 Through 06-04-2005",

url = "https://books.google.co.uk/books/about/Imaging_and_Vision.html?id=FfRRAAAAMAAJ&redir_esc=y, https://spie.org/Publications/Proceedings/Volume/5823",

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Su, H, Miller, PC & Murtagh, F 2005, Interpolation Artefact Reduction by Statistical Approach in Mutual Information-based Image Registration. in FD Murtagh (ed.), Opto-Ireland 2005: Imaging and Vision. vol. 5823, 30, Proceedings of SPIE - The International Society for Optical Engineering, vol. 5823, SPIE, pp. 200-208, Opto-Ireland 2005, Dublin, Ireland, 4/04/05. https://doi.org/10.1117/12.605092

Interpolation Artefact Reduction by Statistical Approach in Mutual Information-based Image Registration. / Su, Hongjiang; Miller, Paul C.; Murtagh, Fionn.

Opto-Ireland 2005: Imaging and Vision. ed. / Fionn D. Murtagh. Vol. 5823 SPIE, 2005. p. 200-208 30 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 5823).

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

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AU - Miller, Paul C.

AU - Murtagh, Fionn

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N2 - Mutual information-based image registration has been verified to be quite effective in many clinical applications. However, when calculating the mutual information between two working images, we need to estimate the grey values of the transformed image by interpolation on the reference image, which introduces regular artefacts in the registration function. In this paper, we analyse the underling mechanism of the artefacts, and present a new statistical interpolation, which will not introduce new intensities. In addition, it also breaks the conformity of the interpolation points, which is considered as a major contributing factor to the artefacts in commonly used interpolations. These characteristics make the registration function much smoother, enabling easier convergence to a global extreme. Experimental results on clinical images verify these advantages.

AB - Mutual information-based image registration has been verified to be quite effective in many clinical applications. However, when calculating the mutual information between two working images, we need to estimate the grey values of the transformed image by interpolation on the reference image, which introduces regular artefacts in the registration function. In this paper, we analyse the underling mechanism of the artefacts, and present a new statistical interpolation, which will not introduce new intensities. In addition, it also breaks the conformity of the interpolation points, which is considered as a major contributing factor to the artefacts in commonly used interpolations. These characteristics make the registration function much smoother, enabling easier convergence to a global extreme. Experimental results on clinical images verify these advantages.

KW - Image registration

KW - Mutual information

KW - Statistical interpolation

KW - Statistical analysis

KW - Error analysis

KW - Magnetic resonance imaging

KW - Statistical modeling

KW - Computed tomography

KW - Image information entropy

KW - Distortion

KW - Image segmentation

KW - Electronics

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M3 - Conference contribution

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Interpolation Artefact Reduction by Statistical Approach in Mutual Information-based Image Registration

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