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Quantitative $T1rho$ imaging is a promising technique for assessment of chronic liver disease. The standard approach requires acquisition of multiple $T1rho$-weighted images of the liver to quantify $T1rho$ relaxation time. The quantification accuracy can be affected by respiratory motion if the subjects cannot hold the breath during the scan. To tackle this problem, we propose a self-supervised mapping method by taking only one $T1rho$-weighted image to do the mapping. Our method takes into account of signal scale variations in MR scan when performing $T1rho$ quantification. Preliminary experimental results show that our method can achieve better mapping performance than the traditional fitting method, particularly in free-breathing scenarios.
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Thursday 7th July
Poster Session 2.1 - onsite 15:20 - 16:20, virtual 11:00 - 12:00 (UTC+2)
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