摘要
本研究利用活体人头颅CT图像,通过自编程序对图像进行分割与二值化、边缘修补、去除干扰、图像纠偏及边缘提取等处理后,确定测量参考点,实现了对前额骨、顶骨和枕骨厚度的准确测量。该方法既可实现对一幅颅骨CT图像中不同位置的测量,也可实现对多幅图像中同一位置的自动测量。其测量结果在解剖学、临床医学、生物力学和头部损伤分析等领域有着广泛的应用价值。
This study sought to measure accurately the thickness of the frontal, parietal and occipital bones of the alive human skull based on CT images. The images were treated with a series of processes by coding into a program： image segmentation and binary coding; eliminating edge interference; rectifying image deviation and clarifying boundary edge; redrawlng the boundary and reference point fixing; and finally thickness measurement. The new method can measure not only the different points in one CT image but also the same point in massive CT images. The measurement results are of great practical value in the fields of anatomy, clinical medicine, biomechanics study, head injury analysis, etc.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2007年第5期964-968,980,共6页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(30470462)
(30570481)
天津市科委重点基金资助项目(043803811)
天津科技大学引进人才科研启动基金资助项目(20060421)
关键词
活体人颅骨
厚度
CT图像
测量
Alive human skull Thickness CT image Measurement
