Cross-Correlation Template Matching for Liver Localisation in Computed Tomography
|Title:||Cross-Correlation Template Matching for Liver Localisation in Computed Tomography||Authors:||Leydon, Patrick; O'Connell, Martin; Greene, Derek; Curran, Kathleen M.||Permanent link:||http://hdl.handle.net/10197/11362||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 imaging; Template matching; Cross-correlation; Localisation; Liver||DOI:||10.21427/8fgf-y086||Other versions:||https://arrow.dit.ie/ditpress/11/
|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|
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