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Publication Detail
Optimizing Functional Parameter Accuracy for Breath-hold DCE-MRI of Liver Tumours
Abstract
Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is a valuable tool for assessing treatment response to novel cancer therapeutics. With appropriate data acquisition, quantitative functional parameter estimates can be obtained by ¯tting a model to the data. This research focuses on applying a dual-input single-compartment pharmacokinetic model to breath-hold DCE-MRI imaging of the liver. In this paper the use of two breath-holds, providing greater temporal information, is compared with a single breath-hold approach. Computer simulations are used to assess the parameter estimation accuracy obtained for the two imaging protocols. Data from 10 patients were analyzed to assess the noise statistics obtained from the two breath-hold protocols. The noise statistics were used with a pharmacokinetic liver model to simulate data, from which the parameter estimation accuracy for the two protocols was assessed. Data from the 10 patients was also analyzed, and the estimates compared with literature values. This work demonstrates the feasibility of obtaining functional liver perfusion estimates over a 3D volume using a sequential breath-hold protocol. The simulation results show that the two images per breath-hold protocol is to be preferred as it requires identical patient co-operation, but provides parameter estimates that are either of equal or superior accuracy.
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Metabolism & Experi Therapeutics
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Dept of Med Phys & Biomedical Eng
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