An optimal acquisition and post-processing pipeline for hybrid IVIM-DKI in head and neck
MAGNETIC RESONANCE IN MEDICINE(2021)
摘要
Purpose To optimize the diffusion-weightingbvalues and postprocessing pipeline for hybrid intravoxel incoherent motion diffusion kurtosis imaging in the head and neck region. Methods Optimized diffusion-weightingbvalue sets ranging between 5 and 30bvalues were constructed by optimizing the Cramer-Rao lower bound of the hybrid intravoxel incoherent motion diffusion kurtosis imaging model. With this model, the perfusion fraction, pseudodiffusion coefficient, diffusion coefficient, and kurtosis were estimated. Sixteen volunteers were scanned with a referencebvalue set and 3 repeats of the optimized sets, of which 1 with volunteers swallowing on purpose. The effects of (1)bvalue optimization and number ofbvalues, (2) registration type (none vs. intervolume vs. intra- and intervolume registration), and (3) manual swallowing artifact rejection on the parameter precision were assessed. Results The SD was higher in the reference set for perfusion fraction, diffusion coefficient, and kurtosis by a factor of 1.7, 1.5, and 2.3 compared to the optimized set, respectively. A smaller SD (factor 0.7) was seen in pseudodiffusion coefficient. The sets containing 15, 20, and 30bvalues had comparable repeatability in all parameters, except pseudodiffusion coefficient, for which set size 30 was worse. Equal repeatability for the registration approaches was seen in all parameters of interest. Swallowing artifact rejection removed the bias when present. Conclusion To achieve optimal hybrid intravoxel incoherent motion diffusion kurtosis imaging in the head and neck region,bvalue optimization and swallowing artifact image rejection are beneficial. The optimized set of 15bvalues yielded the optimal protocol efficiency, with a precision comparable to largerbvalue sets and a 50% reduction in scan time.
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关键词
bvalue optimization, diffusion-weighted imaging (DWI), head and neck, intravoxel incoherent motion diffusion kurtosis imaging (IVIM-DKI), non-Gaussian IVIM (NG-IVIM), swallowing artifact correction
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