期刊
PHYSICS IN MEDICINE AND BIOLOGY
卷 61, 期 15, 页码 N373-N385出版社
IOP PUBLISHING LTD
DOI: 10.1088/0031-9155/61/15/N373
关键词
MRgFUS; HIFU; sensitivity study; property estimation; thermal diffusivity; perfusion
资金
- NIH [R01 CA172787, F32 HD085685]
This study evaluates the sensitivity of two magnetic resonance-guided focused ultrasound (MRgFUS) thermal property estimation methods to errors in required inputs and different data inclusion criteria. Using ex vivo pork muscle MRgFUS data, sensitivities to required inputs are determined by introducing errors to ultrasound beam locations (r(error) = -2 to 2 mm) and time vectors (t(error) = -2.2 to 2.2 s). In addition, the sensitivity to user-defined data inclusion criteria is evaluated by choosing different spatial (r(fit) = 1-10 mm) and temporal (t(fit) = 8.8-61.6 s) regions for fitting. Beam location errors resulted in up to 50% change in property estimates with local minima occurring at rerror = 0 and estimate errors less than 10% when r(error) < 0.5 mm. Errors in the time vector led to property estimate errors up to 40% and without local minimum, indicating the need to trigger ultrasound sonications with the MR image acquisition. Regarding the selection of data inclusion criteria, property estimates reached stable values (less than 5% change) when r(fit) > 2.5 x FWHM, and were most accurate with the least variability for longer tfit. Guidelines provided by this study highlight the importance of identifying required inputs and choosing appropriate data inclusion criteria for robust and accurate thermal property estimation. Applying these guidelines will prevent the introduction of biases and avoidable errors when utilizing these property estimation techniques for MRgFUS thermal modeling applications.
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