Logo image
Detection of microwave ablation coagulation areas using ultrasound Nakagami imaging based on Gaussian pyramid decomposition: A feasibility study
期刊文章   同儕審查

Detection of microwave ablation coagulation areas using ultrasound Nakagami imaging based on Gaussian pyramid decomposition: A feasibility study

Sinan Li, Po-Hsiang Tsui, Shuang Song, Weiwei Wu, Zhuhuang Zhou 和 Shuicai Wu
Ultrasonics, 卷.124, 頁.106758
01/08/2022
PMID: 35617777
Web of Science ID: WOS:000884318600001

摘要

Gaussian pyramid decomposition Homodyned-K distribution Microwave ablation Nakagami imaging Quantitative ultrasound
•We explored the feasibility of using GPD-based ultrasound Nakagami imaging to detect microwave ablation coagulation areas.•GPD algorithm was compared with MBE and WMC algorithms for parameter estimation accuracy, smoothness, resolution and CNR.•Nakagami mGPD, mMBE, and mWMC parametric imaging was compared with HK α and k parametric imaging for monitoring MWA.•GPD-based Nakagami imaging may have the potential to detect microwave ablation coagulation areas. In this paper, we explored the feasibility of using ultrasound Nakagami-m parametric imaging based on Gaussian pyramid decomposition (GPD) to detect microwave ablation coagulation areas. Monte Carlo simulation and phantom simulation results demonstrated that a 2-layer GPD model was sufficient to achieve the same m parameter estimation accuracy, smoothness and resolution as 3-layer and 4-layer. The performances of GPD, moment-based estimator (MBE) and window-modulated compounding (WMC) algorithms were compared in terms of parameter estimation, smoothness, resolution and contrast-to-noise (CNR). Results showed that the m parameter estimation obtained by GPD algorithm was better than that of MBE and WMC algorithms except the small window size (27 × 5). When using a window size of >3 pulse lengths, GPD algorithm could achieve better smoothness and CNR than MBE and WMC algorithms, but there was a certain loss of axial resolution. The computation time of GPD algorithm was less than that of WMC algorithm, while about 2.24 times that of MBE algorithm. Experimental results of porcine liver microwave ablation ex vivo (n = 20) illustrated that the average areas under the operating characteristic curve (AUCs) of Nakagami mGPD, mMBE and mWMC parametric imaging and homodyned-K (HK) α and k parametric imaging to detect coagulation areas were significantly improved by polynomial approximation (PAX). Kruskal-Wallis test showed that the accuracy of coagulation area detection obtained by PAX imaging of mGPD parameter had no significant difference with that of mMBE, mWMC, HK_α and HK_k parameters. This preliminary study suggested that Nakagami imaging based on GPD algorithm may have the potential to detect microwave ablation coagulation areas.

相關連結

指標

1 檢視次數

詳細資料

Logo image