Abstract
Liver disease has reached worryingly high levels worldwide and there is a need for better analysis to monitor progression of disease and response to therapy. Quantitative imaging such as corrected T1 and PDFF can accurately quantify levels of inflammation/fibrosis and fat. In this study we develop a method to assess regional change throughout the liver to characterise disease change. We show that this method is stable in healthy test-retest cases but is able to characterise change in disease in autoimmune hepatitis cases.
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Irving, B. et al. (2018). Regional Assessment of Liver Disease Progression and Response to Therapy by Multi-time Point m-SLIC Correspondence. In: Nixon, M., Mahmoodi, S., Zwiggelaar, R. (eds) Medical Image Understanding and Analysis. MIUA 2018. Communications in Computer and Information Science, vol 894. Springer, Cham. https://doi.org/10.1007/978-3-319-95921-4_5
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DOI: https://doi.org/10.1007/978-3-319-95921-4_5
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