Multi-scale rigid registration to detect damage in micro-CT images of progressively loaded bones

Richard Green; Jim Graham; Hugh Devlin

doi:10.1109/ISBI.2011.5872624

Multi-scale rigid registration to detect damage in micro-CT images of progressively loaded bones

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

Abstract

We present a method to detect damage in time-lapsed, micro-CT images of progressively loaded bone. The method we have developed splits the image into regions and performs registration on each region individually. The procedure is repeated with progressively smaller regions until either a minimum size or a maximum number of levels is reached. The regions are then classified as damaged or undamaged. This method has been successfully applied to three sets of images and tested with simulated damage. It will allow us to determine the characteristics of trabecular architecture that provide strength and to predict regions that are most likely to be damaged based on their structure. © 2011 IEEE.

Original language	English
Title of host publication	Proceedings - International Symposium on Biomedical Imaging\|IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn.
Publisher	IEEE
Pages	1231-1234
Number of pages	3
ISBN (Print)	9781424441280
DOIs	https://doi.org/10.1109/ISBI.2011.5872624
Publication status	Published - 2011
Event	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL Duration: 1 Jul 2011 → …

Conference

Conference	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
City	Chicago, IL
Period	1/07/11 → …

Keywords

Bone Strength
Image Registration
Micro-CT Imaging
Trabecular Structure

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10.1109/ISBI.2011.5872624

Cite this

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title = "Multi-scale rigid registration to detect damage in micro-CT images of progressively loaded bones",

abstract = "We present a method to detect damage in time-lapsed, micro-CT images of progressively loaded bone. The method we have developed splits the image into regions and performs registration on each region individually. The procedure is repeated with progressively smaller regions until either a minimum size or a maximum number of levels is reached. The regions are then classified as damaged or undamaged. This method has been successfully applied to three sets of images and tested with simulated damage. It will allow us to determine the characteristics of trabecular architecture that provide strength and to predict regions that are most likely to be damaged based on their structure. {\textcopyright} 2011 IEEE.",

keywords = "Bone Strength, Image Registration, Micro-CT Imaging, Trabecular Structure",

author = "Richard Green and Jim Graham and Hugh Devlin",

year = "2011",

doi = "10.1109/ISBI.2011.5872624",

language = "English",

isbn = "9781424441280",

pages = "1231--1234",

booktitle = "Proceedings - International Symposium on Biomedical Imaging|IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn.",

publisher = "IEEE",

address = "United States",

note = "2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 ; Conference date: 01-07-2011",

}

Green, R, Graham, J & Devlin, H 2011, Multi-scale rigid registration to detect damage in micro-CT images of progressively loaded bones. in Proceedings - International Symposium on Biomedical Imaging|IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn.. IEEE, pp. 1231-1234, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, Chicago, IL, 1/07/11. https://doi.org/10.1109/ISBI.2011.5872624

Multi-scale rigid registration to detect damage in micro-CT images of progressively loaded bones. / Green, Richard; Graham, Jim ; Devlin, Hugh.
Proceedings - International Symposium on Biomedical Imaging|IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn.. IEEE, 2011. p. 1231-1234.

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

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AU - Graham, Jim

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N2 - We present a method to detect damage in time-lapsed, micro-CT images of progressively loaded bone. The method we have developed splits the image into regions and performs registration on each region individually. The procedure is repeated with progressively smaller regions until either a minimum size or a maximum number of levels is reached. The regions are then classified as damaged or undamaged. This method has been successfully applied to three sets of images and tested with simulated damage. It will allow us to determine the characteristics of trabecular architecture that provide strength and to predict regions that are most likely to be damaged based on their structure. © 2011 IEEE.

AB - We present a method to detect damage in time-lapsed, micro-CT images of progressively loaded bone. The method we have developed splits the image into regions and performs registration on each region individually. The procedure is repeated with progressively smaller regions until either a minimum size or a maximum number of levels is reached. The regions are then classified as damaged or undamaged. This method has been successfully applied to three sets of images and tested with simulated damage. It will allow us to determine the characteristics of trabecular architecture that provide strength and to predict regions that are most likely to be damaged based on their structure. © 2011 IEEE.

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KW - Image Registration

KW - Micro-CT Imaging

KW - Trabecular Structure

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Y2 - 1 July 2011

ER -

Multi-scale rigid registration to detect damage in micro-CT images of progressively loaded bones

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Keywords

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