Abstract
Differentiating between cysts and other liver lesions seen on magnetic resonance images is an important diagnostic problem. Quantitative T1 mapping enables characterisation of liver tissue in vivo, by providing an estimate of the extracellular water content, and can be used in analysis of liquid-filled cysts. This paper presents an image processing method to automatically detect hepatic cysts in such quantitative T1 maps. The method has been tested on a cohort of 926 cases from the UK Biobank study and classified images as containing cysts or cyst-free with accuracy of 83%, sensitivity of 93% and specificity of 82%.
Author supplied keywords
Cite
CITATION STYLE
Wojciechowska, M., Irving, B., Dennis, A., Wilman, H. R., Banerjee, R., Brady, S. M., & Kelly, M. (2018). Automated detection of cystic lesions in quantitative T1 liver images. In Communications in Computer and Information Science (Vol. 894, pp. 51–56). Springer Verlag. https://doi.org/10.1007/978-3-319-95921-4_6
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
