A maximum-likelihood method to estimate a single ADC value of lesions using diffusion MRI.
A maximum-likelihood method to estimate a single ADC value of lesions using diffusion MRI.
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DOI：
10.1002/mrm.26072
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发表时间：
2016-12
影响因子：
3.3
通讯作者：
Stopeck AT
中科院分区：
文献类型：
--
作者：
Jha AK;Rodríguez JJ;Stopeck AT
Design a statistically rigorous procedure to estimate a single apparent diffusion coefficient (ADC) of lesion from the mean lesion signal intensity in diffusion MRI. A rigorous maximum-likelihood (ML) technique that incorporated the statistics of the mean lesion intensity and accounted for lesion heterogeneity was derived to estimate the ADC value. Performance evaluation included comparison with the conventionally used linear-regression (LR) and a statistically rigorous ADC-map technique using realistic and clinically relevant simulation studies conducted with assistance of patient data for homogeneous and heterogeneous lesion models. The proposed technique outperformed the LR and ADC-map approaches over a large spectrum of SNR, ADC, lesion size, image-misalignment parameters, including at no image misalignment, and different amounts of lesion heterogeneity. The method was also superior at different sets of b values and in studies from specific patient-image-derived data. The technique takes less than a second to execute. A rigorous, computationally fast, easy-to-implement, and convenient-to-use ML technique was proposed to estimate a single ADC value of the lesion. Results provide strong evidence in support of the method.
