Threshold Setting for Likelihood Function for Elasticity-Based Tissue Classification of Arterial Walls by Evaluating Variance in Measurement of Radial Strain
Threshold Setting for Likelihood Function for Elasticity-Based Tissue Classification of Arterial Walls by Evaluating Variance in Measurement of Radial Strain
复制标题
通过评估径向应变测量的方差来设置动脉壁基于弹性的组织分类的似然函数的阈值
DOI：
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
F. Tezuka
中科院分区：
文献类型：
--
作者：
K. Tsuzuki;H. Hasegawa;H. Kanai;M. Ichiki;F. Tezuka
动脉壁的病理变化显着影响其机械性能。我们开发了一种基于相关性的方法，即分阶段跟踪方法[H. Kanai 等人：IEEE Trans。超声波。铁电体。频率。 Control 43(1996)791]，用于测量动脉壁的区域弹性。利用该方法，通过离体动脉实验测量了体外脂质、血栓、纤维组织和钙化组织的弹性分布（平均值±SD：脂质89±47 kPa，血栓131±56 kPa，纤维组织1022±1040 kPa，钙化组织2267±1228 kPa）[H. Kanai 等人：Circulation 107 (2003) 3018； J. Inagaki 等人：Jpn。 J.应用程序。物理。 44（2005）4593]。研究发现，动脉组织根据其弹性可分为软组织（脂质和血栓）和硬组织（纤维组织和钙化组织）。然而，脂质和血凝块的弹性分布与纤维组织和钙化组织的弹性分布之间存在很大的重叠。因此，仅通过弹性值阈值来区分脂质与血凝块以及纤维组织与钙化组织是困难的。因此，我们之前提出了一种方法，根据每个组织的似然函数，将弹性图像中每个感兴趣区域（ROI）（而不是单个像素）的弹性分布分类为脂质、血凝块、纤维组织或钙化组织[J.稻垣等人：日本。 J.应用程序。物理。 44（2006）4732]。在我们之前的研究中，ROI 的最佳尺寸确定为动脉径向方向 1,500 µm 和动脉纵向方向 1,500 µm [K. Tsuzuki 等人：超声医学。生物。 34（2008）573]。在本研究中，通过评估径向应变超声测量的方差来设置组织分类中使用的似然函数的阈值。通过所提出的阈值处理，识别率从 50% 提高到 54%。
Pathologic changes in arterial walls significantly influence their mechanical properties. We have developed a correlation-based method, the phased tracking method [H. Kanai et al.: IEEE Trans. Ultrason. Ferroelectr. Freq. Control 43 (1996) 791], for measurement of the regional elasticity of the arterial wall. Using this method, elasticity distributions of lipids, blood clots, fibrous tissue, and calcified tissue were measured in vitro by experiments on excised arteries (mean±SD: lipids 89±47 kPa, blood clots 131 ±56 kPa, fibrous tissue 1022±1040 kPa, calcified tissue 2267 ±1228 kPa) [H. Kanai et al.: Circulation 107 (2003) 3018; J. Inagaki et al.: Jpn. J. Appl. Phys. 44 (2005) 4593]. It was found that arterial tissues can be classified into soft tissues (lipids and blood clots) and hard tissues (fibrous tissue and calcified tissue) on the basis of their elasticity. However, there are large overlaps between elasticity distributions of lipids and blood clots and those of fibrous tissue and calcified tissue. Thus, it was difficult to differentiate lipids from blood clots and fibrous tissue from calcified tissue by simply thresholding elasticity value. Therefore, we previously proposed a method by classifying the elasticity distribution in each region of interest (ROI) (not a single pixel) in an elasticity image into lipids, blood clots, fibrous tissue, or calcified tissue based on a likelihood function for each tissue [J. Inagaki et al.: Jpn. J. Appl. Phys. 44 (2006) 4732]. In our previous study, the optimum size of an ROI was determined to be 1,500 µm in the arterial radial direction and 1,500 µm in the arterial longitudinal direction [K. Tsuzuki et al.: Ultrasound Med. Biol. 34 (2008) 573]. In this study, the threshold for the likelihood function used in the tissue classification was set by evaluating the variance in the ultrasonic measurement of radial strain. The recognition rate was improved from 50 to 54% by the proposed thresholding.
DOI：
10.1161/01.atv.19.8.1956
发表时间：
1999-08
期刊：
Arteriosclerosis, thrombosis, and vascular biology
影响因子：
--
作者：
M. McConnell;M. Aikawa;S. Maier;P. Ganz;P. Libby;R. Lee
通讯作者：
M. McConnell;M. Aikawa;S. Maier;P. Ganz;P. Libby;R. Lee
影响因子：
2.4
作者：
LOREE, HM;GRODZINSKY, AJ;LEE, RT
通讯作者：
LEE, RT