摘要
目的以MRI等图像为基础,进行HIFU治疗靶区的自动勾画研究,其勾画精确度希望达到1mm以内,为以后的三维成像、HIFU治疗精确控制提供依据,为完整的HIFU治疗计划系统的基础。方法以MRI等原始图像为基础,利用相关的计算机识别技术对靶区组织进行自动识别、勾画,采用点、面结合的组合图像处理技术方案,应用了包括图像分割阈值获取、多项分割技术的联合应用、组织结构提取等方法的原理与具体算法。结果通过试验发现,此技术方案能够对边界相对不模糊的医学图像(MRI、CT等),比较快速、准确的勾画出目标靶区的效果。结论此方案能够比较准确识别诸如MRI类图像中的指定组织结构,能够比较快速、准确的勾画其边界,在HIFU、放射等医学治疗中有助于精确定位,有助于减少并发症发生率及对重要组织结构的保护。
Objective To study automatic drawing on target therapy area based on MRI and CT imagings in order to get the precision less than 1 mm in HIFU treatment. Methods Based on MRI and CT imagings, automatic image was recognized and the frame was extracted by image processing and image segmentation, etc.. Results The system of software we are studying can be effectively used to recognize medical automatic images and get target therapy areas＇ image drawings. Conclusion This system of software will be used in medical precise treatment systems, such as HIFU 3D Treatment Regional Planning System.
出处
《第三军医大学学报》
CAS
CSCD
北大核心
2007年第21期2076-2079,共4页
Journal of Third Military Medical University
关键词
治疗靶区
图像勾画
图像分割
结构提取
therapy area
image drawing
image segmentation
frame extraction
