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基于阈值法和数学形态学的HIFU治疗区域确定
引用本文:刘畅,钱盛友,邹孝,孙福成,张激.基于阈值法和数学形态学的HIFU治疗区域确定[J].计算机工程与应用,2009,45(23):224-226.
作者姓名:刘畅  钱盛友  邹孝  孙福成  张激
作者单位:1.湖南师范大学 物理与信息科学学院,长沙 410081 2.上海交通大学 生物医学工程系,上海 200030 3.深圳普罗惠仁医学科技有限公司,广东 深圳 518067
摘    要:为了在HIFU治疗过程中更客观有效地判定有效治疗区域,根据HIFU治疗的特点,在比较各种图像分割算法的基础上采用基于灰度期望值的阈值法,并与迭代数学形态学方法结合,从图像处理角度检测出了HIFU焦域的大小。实验表明该方法所获得的结果与实际损伤情形基本吻合,从而证明了该方法的可行性和有效性。

关 键 词:高强度聚焦超声  数字减影  阈值  去噪
收稿时间:2008-4-28
修稿时间:2008-7-29  

Determination of HIFU treatment regions based on threshold algorithm and mathematical morphology
LIU Chang,QIAN Sheng-you,ZOU Xiao,SUN Fu-cheng,ZHANG Ji.Determination of HIFU treatment regions based on threshold algorithm and mathematical morphology[J].Computer Engineering and Applications,2009,45(23):224-226.
Authors:LIU Chang  QIAN Sheng-you  ZOU Xiao  SUN Fu-cheng  ZHANG Ji
Affiliation:1.College of Physics and Information Science,Hunan Normal University,Changsha 410081,China 2.Department of Biomedical Engineering,Shanghai Jiaotong University,Shanghai 200030,China 3.Shenzhen Pro-hifu Midical Tech. Co. Ltd.,Shenzhen,Guangdong 518067,China
Abstract:In order to determine effective treatment region more accurately and objectively during the process of HIFU treatment, different image segmentation algorithms are compared based on the characteristics of HIFU treatment.Then the method of combining threshold based on arithmetic mean of gray value with iterative mathematical morphology is used to detect the size of the HIFU treatment regions.Experiments show that the results of this method are consistent with the actual injury,which proves the feasibility and...
Keywords:High Intensity Focused Ultrasound(HIFU)  digital subtraction  threshold  denoising
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