中国临床解剖学杂志 ›› 2011, Vol. 29 ›› Issue (4): 418-422.

• 断层影像解剖 • 上一篇    下一篇

基于“9点3面”配准方案的CT+MR异机三维图像融合研究

彭鳒侨1, 鞠向阳2, 白 波1, 刘 琦1, 陈 艺1, 莫建文1, 朱巧洪3, 李新春3   

  1. 广州医学院第一附属医院  1.关节外科 广东省矫形植入骨科重点实验室,  3.放射科; 广州 510120;
    2.英国Glasgow大学生物物理工程部,G23JZ U.K
  • 收稿日期:2011-12-31 发布日期:2011-07-26
  • 通讯作者: 白 波,教授,博士生导师,Tel: (020)83062680,E-mail: BaiB@gyfyy.com E-mail:pengjq@gyfyy.com
  • 作者简介:彭鳒侨(1967-),男,广东人,博士生,高级工程师,研究方向:数码骨科
  • 基金资助:

    广州医学院2009年度留学回国人员、博士专项基金

3D-image fusion research of cross CT+MR modality based on localization registration approach of"9-point & 3-plane"

PENG Jian-qiao Matthew1,JU Xiang-yang2, BAI Bo1, LIU Qi1, CHEN Yi1, MO Jian-wen1, ZHU Qiao-hong3, LI Xin-chun3   

  1. 1. Department of Joint Surgery, The First Affiliated Hospital of Guangzhou Medical College, Orthopedic implantation key lab of Guangdong Province, Guangzhou 510120, China; 2. Department of Clinical Physics and Bio-Engineering, University of Glasgow, Glasgow G23JZ U.K; 3. Department of Radiology, The First Affiliated Hospital of Guangzhou Medical College, Guangzhou 510120, China
  • Received:2011-12-31 Published:2011-07-26

摘要:

目的 尝试一种基于体表定位的二维图像配准方法,实现CT和MR异机三维图像的精确融合。  方法 输入CT/MR原始数据后采用数字化格式转换,设计“9点3面”立体对位法进行配准,在实时工作站Mimics按照信息交互自动融合模式,通过讯号叠加技术完成图像融合。  结果 以患者的头、膝为实例试验[CT+MR]立体图像的异机融合,生成了同时展现头部软硬组织、膝部病变性质和位置的互补影像,携带着来自CT和MR各自的讯号特征和医学信息,既能了解MR所发现的异常组织的明确位置,又能鉴别CT所发现的异常病灶的性质。  结论 这种异机融合手段是对目前这一空缺技术的补充,同时,这一实验也将为进一步研制[CT+MR]同机三维融合设备提供经验借鉴。

关键词: 正电成像/核磁共振/计算机断层造影术, 三维重建, 定位配准, 异机图像融合

Abstract:

Objective To attempt a localization registration approach of 2-Dimension (2D) images based on somatotopic localization to realize accurate fusion from cross modality of 3-Dimension (3D) CT & MR images. Methods To fix digital format after original data of CT/MR input, design cubic localization solution of"9-point & 3-plane"for registration, complete fusion at real-time workstation Mimics based on auto-fusing style of information exchanged by signal overlaid technique. Results The fused cubic images of cross [CT+MR] modality were mutually practiced by patients' cranium and knee samples, while complementary images of distinguishing soft and hard tissue in cranium and knee were created, which carrying signal characteristic and medical information respectively from CT & MR individually, and were helpful not only to learn specific location of abnormal organs found out by MR, but also to identify focal nature of abnormal lesions found out by CT. Conclusions This cross modality fusion scheme is a supplement for the technique vacant at present, meanwhile, this experiment will also provide experience drawn on invention of [CT+MR] single modality equipment of 3D imaging in advance.

Key words: PT/MR/CT, 3D rebuilt, Localization registration, Cross modality image fusion

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