Cross-Correlation Template Matching for Liver Localisation in Computed Tomography

Files in This Item:
File Description SizeFormat 
insight_publication.pdf2.32 MBAdobe PDFDownload
Title: Cross-Correlation Template Matching for Liver Localisation in Computed Tomography
Authors: Leydon, PatrickO'Connell, MartinGreene, DerekCurran, Kathleen M.
Permanent link:
Date: 30-Jul-2019
Online since: 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.
Funding Details: Science Foundation Ireland
metadata.dc.description.othersponsorship: Insight Research Centre
Type of material: Conference Publication
Keywords: Medical imagingTemplate matchingCross-correlationLocalisationLiver
DOI: 10.21427/8fgf-y086
Other versions:
Language: en
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
Appears in Collections:Insight Research Collection

Show full item record

Page view(s)

Last Week
Last month
checked on Jul 3, 2020


checked on Jul 3, 2020

Google ScholarTM



This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.