医学图像非刚体配准方法研究
文献类型：学位论文
| 作者 | 唐宋元 |
| 学位类别 | 工学博士 |
| 答辩日期 | 2004-07-01 |
| 授予单位 | 中国科学院研究生院 |
| 授予地点 | 中国科学院自动化研究所 |
| 导师 | 蒋田仔 |
| 关键词 | 医学图像 非刚体配准 流体模型 粘弹性Maxwell模型 线性奇异混合B样条函数 medical image nonrigid registration fluid model Maxwell model LSB B-Spline |
| 其他题名 | Nonrigid Registration of Medical Images |
| 学位专业 | 模式识别与智能系统 |
| 中文摘要 | 医学图像配准一直是医学图像分析领域的研究热点，近年来，研究重点已 经逐渐向非刚体配准转移。鉴于此， 本文着重于医学图像的非刚体配准研究， 主要采用图像的灰度特征，分别对基于物理模型和几何模型的非刚体配准方法 进行了一些新的尝试，论文的主要贡献如下： 1．提出了一种基于流体模型的快速算法。该方法通过引入自适应力， 可 以有效地减少运算时间， 模拟数据和实际数据的实验结果验证了该方 法的有效性。 2． 提出了一种基于粘弹性模型的非刚体配准方法。该方法采用Maxwell 模型对图像变形进行约束， 实验表明， 该方法能得到更好的结果。 3． 提出了一种基于几何变形的非刚体配准方法。该方法采用自由变形模 型，使用基于B样条的线性奇异混合技术对图像的变形进行约束，具 有比B样条函数更好的局部控制能力， 同时保留了B样条的连续性， 能得到更加精确的结果。 |
| 英文摘要 | The dissertation focuses on the nonrigid registration of medical images. We had developed some automatically algorithms of nonrigid medical image registration, which were based on intensity. The main contributions of this dissertation are as follows: 1. An effective method for nonrigid registration of medical images is proposed by introducing an adaptive force, which can enhance the forces as the displacements become small. The new scheme can decrease time cost greatly and don't lose its accuracy. The proposed method was applied to synthetic images and intersubj ect registration of brain anatomical structure images. The experimental results demonstrated that it is of the high efficiency and accuracy. 2. We assume that the local shape variations of brain subject to Maxwell model of viscoelasticity, the deformable fields are constrained by the corresponding partial differential equations. Based on the above assumptions, a new method for nonrigid registration of medical images is proposed. Experimental results showed that the performance of proposed method was satisfactory in accuracy and speed. 3. A free-form deformation based on a LSB B-Spline is proposed, which can enhance the shape-control capability of B-Spline. The experimental results indicate that the proposed method is much better to describe the deformation than the afflne algorithm and B-Spline techniques. |
| 语种 | 中文 |
| 其他标识符 | 815 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/5828]  |
| 专题 | 毕业生_博士学位论文 |
| 推荐引用方式 GB/T 7714 | 唐宋元. 医学图像非刚体配准方法研究[D]. 中国科学院自动化研究所. 中国科学院研究生院. 2004. |
入库方式： OAI收割
来源：自动化研究所
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