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. Cross- Correlation, 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.
Original language | English |
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DOIs | |
Publication status | Published - 1 Jan 2019 |
Externally published | Yes |
Event | IMVIP 2019: Irish Machine Vision & Image Processing - Technological University Dublin, Dublin, Ireland Duration: 28 Aug 2019 → 30 Aug 2019 |
Conference
Conference | IMVIP 2019: Irish Machine Vision & Image Processing |
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Country/Territory | Ireland |
City | Dublin |
Period | 28/08/19 → 30/08/19 |
Keywords
- automatic organ localisation
- medical imaging
- template matching
- liver
- Computed Tomography
- Coronal plane
- Sagital plane
- positioning error