| 基于MATLAB的恶性肝脏肿瘤B超图像的处理与分析 |
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| 引用本文： | 贾鹏飞,高卫平.基于MATLAB的恶性肝脏肿瘤B超图像的处理与分析[J].中国神经再生研究,2009,13(43):8523-8526. |
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| 作者姓名： | 贾鹏飞 高卫平 |
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| 作者单位： | 天津医科大学生物医学工程系，天津市 300070,天津医科大学生物医学工程系，天津市 300070 |
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| 摘 要： | 采用MATLAB的图像处理工具箱(IPT)对肝脏超声图像进行滤波处理，对肝脏的癌变组织区域和正常组织区域进行对比分析，绘制灰度值的对比曲线，对癌变区域进行边缘检测。对30例恶性肝脏肿瘤患者B超图像中的癌变区域和正常组织区域进行灰度值变化曲线绘制，能够准确地对比出癌变部分的灰度变化率显著高于正常区域。结果提示，使用MATLAB软件进行的灰度曲线绘制可以有效地将图像灰度信息量化，量化的图像参数对临床诊断肝癌具有重要的参考价值。
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| 关 键 词： | MATLAB 肝癌 灰度值 B超图像 边缘检测 |
Malignant liver cancer ultrasonic image processing and analysis based on MATLAB |
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| Jia Peng-fei and Gao Wei-ping.Malignant liver cancer ultrasonic image processing and analysis based on MATLAB[J].Neural Regeneration Research,2009,13(43):8523-8526. |
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| Authors: | Jia Peng-fei and Gao Wei-ping |
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| Affiliation: | Department of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China,Department of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, China |
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| Abstract: | MATLAB Image Processing Toolbox (IPT) was used to analyze the filtered images and draw the gray value contrast curve respectively between cancerous and normal regions of liver tissue, and also detect the edge of the cancerous tissue region. Cancerous and normal region of 30 subjects were assessed with gray value curve. The change of cancerous region was significantly higher than the normal one. The gray value curve can effectively quantify the gray information of the image. Quantitative image parameters have an important reference value on the clinical diagnosis of liver cancer. |
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