TY - JOUR
T1 - Examination of optimal moments as input parameters for evaluation of liver fibrosis based on multi-Rayleigh model
AU - Zhang, Chuang
AU - Mori, Shohei
AU - Hirata, Shinnosuke
AU - Hachiya, Hiroyuki
N1 - Funding Information:
This work was supported by JSPS Numbers JP25282153, JP17H02108.
PY - 2018/7
Y1 - 2018/7
N2 - The diagnosis of liver fibrosis using an ultrasound B-mode image has the advantages of real-time observation and noninvasive properties. We proposed a multi-Rayleigh model to express a probability density function (PDF) of echo envelope from a fibrotic liver. By using the multi-Rayleigh model, fibrotic parameters can be estimated. To quantitatively evaluate liver fibrosis using the multi-Rayleigh model, it is important to establish a high estimation accuracy method of multi-Rayleigh model parameters for clinical data. In this paper, by using the simulated ultrasound B-mode image, the relationship between the moments of echo data as input parameters for the evaluation of liver fibrosis based on the multi-Rayleigh model and the estimation accuracy of the multi-Rayleigh model parameters was examined. From the simulation results, we can determine the optimal combination of moments that can improve the estimation accuracy of the multi-Rayleigh model by focusing on the distribution of estimated values in the multi-Rayleigh model parameters’ space.
AB - The diagnosis of liver fibrosis using an ultrasound B-mode image has the advantages of real-time observation and noninvasive properties. We proposed a multi-Rayleigh model to express a probability density function (PDF) of echo envelope from a fibrotic liver. By using the multi-Rayleigh model, fibrotic parameters can be estimated. To quantitatively evaluate liver fibrosis using the multi-Rayleigh model, it is important to establish a high estimation accuracy method of multi-Rayleigh model parameters for clinical data. In this paper, by using the simulated ultrasound B-mode image, the relationship between the moments of echo data as input parameters for the evaluation of liver fibrosis based on the multi-Rayleigh model and the estimation accuracy of the multi-Rayleigh model parameters was examined. From the simulation results, we can determine the optimal combination of moments that can improve the estimation accuracy of the multi-Rayleigh model by focusing on the distribution of estimated values in the multi-Rayleigh model parameters’ space.
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U2 - 10.7567/JJAP.57.07LF27
DO - 10.7567/JJAP.57.07LF27
M3 - Article
AN - SCOPUS:85049386600
VL - 57
JO - Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes
JF - Japanese Journal of Applied Physics, Part 1: Regular Papers & Short Notes
SN - 0021-4922
IS - 7
M1 - 07LF27
ER -