基于3D-CT图像的髋脱位定量智能诊断方法

doi:10.12068/j.issn.1005-3026.2018.02.009

东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (2): 190-194.DOI: 10.12068/j.issn.1005-3026.2018.02.009

基于3D-CT图像的髋脱位定量智能诊断方法

李宏¹，孙航¹，刘圣楠¹，潘诗农²

(1. 东北大学中荷生物医学与信息工程学院，辽宁沈阳110169； 2.中国医科大学附属盛京医院放射科，辽宁沈阳110004)

收稿日期:2017-03-30 修回日期:2017-03-30 出版日期:2018-02-15 发布日期:2018-02-09
通讯作者: 李宏
作者简介:李宏(1974-)，女，辽宁沈阳人，东北大学副教授，博士; 潘诗农(1964-)，男，辽宁葫芦岛人，中国医科大学教授，主任医师，博士生导师.
基金资助:
国家重点研发计划项目(2016YFC0107102，2016YFC0107100)；国家自然科学基金资助项目(81271538).

Quantitative and Intelligent Diagnosis Method of Hip Dislocation Based on 3D-CT Images

LI Hong¹， SUN Hang¹， LIU Sheng-nan¹， PAN Shi-nong²

1. School of Sino-Dutch Biomedical and Information Engineering， Northeastern University， Shenyang 110169， China; 2. Department of Radiology， Shengjing Hospital of China Medical University， Shenyang 110004， China.

Received:2017-03-30 Revised:2017-03-30 Online:2018-02-15 Published:2018-02-09
Contact: LI Hong
About author:-
Supported by:
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摘要/Abstract

摘要： 根据正常状态下股骨头与髋臼月状面所在球面同心的原理，结合三维图像分割与球面拟合两种主要思想以及细节的算法处理，提出一种有效的髋脱位定量辅助诊断方法.首先将髋臼与股骨头三维分割，获取各自的独立数据；提取髋臼与股骨头表面数据并剔除误差点后，利用最小二乘法分别拟合出股骨头表面和髋臼月状面所在的球面，并通过两球面的球心距数值确定髋臼是否脱位.实验结果表明，此方法判断结果有效，同时可计算出髋臼复位需要移动的距离，提高诊断精度.

关键词: 髋脱位, 计算机辅助诊断, 三维CT图像分割, 球面拟合

Abstract: Considering that the spherical surface of the femoral head should be approximately concentric with that of the acetabulum， an effective method based on three dimensional image segmentation and spherical surface fitting was proposed， with some detailed algorithm designed. First， the three dimensional segmentation was implemented on the femur and acetabulum to obtain respective independent data. After extracting the valid data of the femoral head and acetabulum boundary and removing the error points， the least square method was applied to fit the spherical surface of the femoral head and the surface of the acetabulum. Then the respective sphere center distance between two spherical surfaces was calculated， thus determining whether the acetabulum is dislocated or not. The results of experiments show that the method proposed can provide the distance for hip replacement and improve the diagnostic accuracy.

Key words: hip dislocation, computer aided diagnosis(CAD), 3D-CT image segmentation, spherical fitting

中图分类号:

TP391

李宏，孙航，刘圣楠，潘诗农. 基于3D-CT图像的髋脱位定量智能诊断方法[J]. 东北大学学报:自然科学版, 2018, 39(2): 190-194.

LI Hong， SUN Hang， LIU Sheng-nan， PAN Shi-nong. Quantitative and Intelligent Diagnosis Method of Hip Dislocation Based on 3D-CT Images[J]. Journal of Northeastern University Natural Science, 2018, 39(2): 190-194.

参考文献

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基于3D-CT图像的髋脱位定量智能诊断方法

Quantitative and Intelligent Diagnosis Method of Hip Dislocation Based on 3D-CT Images

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