章欣,杨昆,周小伟.Nakagami-Gamma统计模型参数成像表征高强度聚焦超声致热损伤:体外研究[J].中国医学影像技术,2023,39(8):1153~1159
Nakagami-Gamma统计模型参数成像表征高强度聚焦超声致热损伤:体外研究
Nakagami-Gamma statistical model parameter imaging for characterizing thermal injury induced by high intensity focused ultrasound: In vitro study
投稿时间:2023-04-06  修订日期:2023-06-03
DOI:10.13929/j.issn.1003-3289.2023.08.008
中文关键词:  热损伤  高强度聚焦超声  Nakagami-Gamma统计模型  
英文关键词:thermal injury  high-intensity focused ultrasound ablation  Nakagami-Gamma statistical model  swine
基金项目:重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX0968)。
作者单位E-mail
章欣 重庆医科大学生物医学工程学院 超声医学工程国家重点实验室, 重庆 400016
国家药品监督管理局超声手术设备质量评价重点实验室, 湖北 武汉 430075 
 
杨昆 天津大学微电子学院, 天津 300072  
周小伟 重庆医科大学生物医学工程学院 超声医学工程国家重点实验室, 重庆 400016
国家药品监督管理局超声手术设备质量评价重点实验室, 湖北 武汉 430075 
zhou.xiaowei@cqmu.edu.cm 
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中文摘要:
      目的 观察基于Nakagami-Gamma统计模型参数成像表征高强度聚焦超声(HIFU)致热损伤的效果。方法 对离体猪里脊组织行HIFU热消融,于辐照间隙采集超声射频数据,以Nakagami-Gamma统计模型估计β参数并形成参数图,计算其与参考帧的对数差分;同步构建传统灰阶声像图和灰阶超声差分图,与Nakagami-Gamma对数差分图对比,根据热损伤区与周围组织的对比度噪声比(CNR)评价模型性能。结果 利用Nakagami-Gamma模型可在灰阶声像图无明显相应表现时监测热损伤,且能明显提高消融区对比度。Nakagami-Gamma对数差分图的CNR 明显高于灰阶超声差分图 (t=18.189,P<0.001),整体相对提升49.64%。结论 Nakagami-Gamma统计模型可用于表征HIFU致热损伤。
英文摘要:
      Objective To explore the effect of Nakagami-Gamma statistical model parameter imaging for characterizing thermal injury induced by high intensity focused ultrasound (HIFU). Methods In vitro HIFU thermal ablation of porcine loin tissue was performed. Data of ultrasound radiofrequency were acquired in intervals of HIFU radiation and applied in a Nakagami-Gamma statistical model to estimate β parameters for forming parameter images, and the logarithmic differences compared with reference frame were calculated. Then conventional ultrasonic gray-scale images and gray-scale difference maps were constructed simultaneously and compared with Nakagami-Gamma logarithmic difference maps. The contrast-to-noise ratio (CNR) between thermally damaged area and the surrounding tissue was used to evaluate the performance of this model. Results The proposed method detected the occurrence of thermal damage when no apparent manifestation of thermal damage was shown om gray-scale images, and the contrast of ablation area was significantly improved. CNR of Nakagami-Gamma logarithmic difference maps (dB) were significantly higher than that of gray-scale difference maps (dB, t=18.189, P<0.001), with an overall relative increase of 49.64%. Conclusion Nakagami-Gamma statistical model could be used to characterize thermal injury induced by HIFU.
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