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  5. Cross-Correlation Template Matching for Liver Localisation in Computed Tomography
 
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Cross-Correlation Template Matching for Liver Localisation in Computed Tomography

Author(s)
Leydon, Patrick  
O'Connell, Martin  
Greene, Derek  
Curran, Kathleen M.  
Uri
http://hdl.handle.net/10197/11362
Date Issued
2019-07-30
Date Available
2020-05-05T10:32:22Z
Abstract
Many of the current approaches to automatic organ localisation in medical imaging require a large amount of labelled patient data to train systems to accurately identify specific anatomical features. CrossCorrelation, also known as template matching, is a statistical method of assessing the similarity between a template image and a target image. This method has been modified and presented here to localize the liver in Computed Tomography volume images in the Coronal and Sagital planes to achieve a mean positioning error of approximately 11 mm and 20 mm respectively based on between 1 and 25 datasets to create the template liver.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Subjects

Medical imaging

Template matching

Cross-correlation

Localisation

Liver

DOI
10.21427/8fgf-y086
Web versions
https://arrow.dit.ie/ditpress/11/
http://www.imvip.ie/
Language
English
Status of Item
Peer reviewed
Conference Details
The 2019 Irish Machine Vision and Image Processing Conference (IMVIP 2019), Technological University Dublin, 28-30 August 2019
ISBN
978 0 9934207 4 0
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Name

insight_publication.pdf

Size

2.26 MB

Format

Adobe PDF

Checksum (MD5)

889fefc40fbb61b14de7cd09ca62db06

Owning collection
Insight Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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