计算机科学 ›› 2010, Vol. 37 ›› Issue (2): 261-263.

• 图形图像及体系结构 • 上一篇    下一篇

基于Demon算法的乳房核磁共振图像配准

王阳萍,党建武,杜晓刚,李莎,田仲泽   

  1. (兰州交通大学电子与信息工程学院 兰州730070);(兰州军区兰州总医院放疗科 兰州730050)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家863高技术研究发展计划基金项目(2006AA02Z499 ),国家自然科学基金(60962004),甘肃省科技攻关计划项目(0708GKCA047) ,甘肃省自然科学基金项目(0803RJGA015)资助。

Registration for Breast Magnetic Resonance Imaging Using Demon Algorithm

WANG Yang-ping,DANG Jian-wu,DU Xiao-gang,LI Sha,TIAN Zhong-ze   

  • Online:2018-12-01 Published:2018-12-01

摘要: 为了提高乳房动态核磁共振成像中不同时间点序列图像的配准速度,提出了将快速的Demon非刚性配准算法与图像强度校正相结合的乳房图像配准模型。Demon算法本身基于图像强度变化计算变形参数,因此不适于强度动态增强的图像配准。首先根据乳房组织的信号增强模型应用多项式理论校正待配准图像的强度,再应用Demon算法进行几何变形配准。实验表明该算法在精度上远优于直接使用Demon算法,在与自由形变配准算法具有几乎相同配准精度的前提下,明显提高了配准速度。

关键词: 乳房动态核磁共振成像,图像配准,Demon算法,强度校正

Abstract: In order to improve the registration speed of breast dynamic contrast enhancement magnetic resonance images (DCE MRI) which are obtained at different time points, this paper presented a registration model for breast DCE MRI using fast demon non-rigid registration algorithm with intensity correction. Original demon is based on intensity change to get deformation parameters and unsuitable for breast DCE MRI. Intensity correction between pre and post contrast images based on polynomial was suggested to overcome the problem according to the signal enhancement of the breast model. The experiment results show that the presented approach performs better than only demon algorithm and is remarkably faster than free form deformation non-rigid registration algorithm with nearly same precision.

Key words: Breast DCE MRI, Image registration, Demon algorithm, Intensity correction

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