CT-MRI automatic surface-based registration schemes combining global and local optimization techniques.
CT-MRI automatic surface-based registration schemes combining global and local optimization techniques.
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CT-MRI 自动基于表面的配准方案结合了全局和局部优化技术。
DOI：
10.3233/thc-2003-11402
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
N. Uzunoglu
中科院分区：
文献类型：
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作者：
G. Matsopoulos;K. Delibasis;N. Mouravliansky;P. Asvestas;K. Nikita;V. Kouloulias;N. Uzunoglu
通常需要医学图像配准，以结合不同医学成像方式提供的互补信息。本文提出了一种新的自动配准方案来配准三维CT-MR头部图像，目前已在临床环境中进行了测试。该方案在数据预处理和外表面提取的基础上，采用刚性变换方法，结合全局优化和局部优化相结合的方法进行优化。在分析上，本文利用了常用的三种优化技术的优化效率，即下坡单纯形法、遗传算法和模拟退火法来获得刚性变换模型的参数。这些优化技术通过鲍威尔优化方法的顺序应用进一步结合，以细化配准和提高其精度。一项涉及这些优化技术与刚性转换的比较研究，以及另外两种方法，ICP和手动方法，也被提出，用于足够数量的临床CT-MR脑图像。最后，给出了定量和定性结果，验证了这些基于表面的自动配准方案在一致性和准确性方面的性能。在整个研究过程中，由刚性变换与模拟退火法依次结合鲍威尔法组成的自动配准方案在所有其他比较配准方案中表现得更好。
Medical image registration is commonly required in order to combine the complementary information provided by different medical imaging modalities. In this paper, a new automatic registration scheme is proposed to register 3-D CT-MR head images and is currently tested on a clinical environment. The proposed scheme, after the preprocessing and the outer surface extraction of the data, is based on the use the rigid transformation method, in conjunction with a combination of global and local optimization techniques. Analytically, the paper exploits the optimization efficiency of three widely used optimization techniques, in obtaining the parameters of the rigid transformation model: the Downhill Simplex Method, the Genetic Algorithms and the Simulated Annealing. These optimization techniques are further combined by the sequential application of the Powell optimization method in order to refine the registration and increase its accuracy. A comparative study involving these optimization techniques in conjunction with the rigid transformation, and two other methods, the ICP and the manual methods, is also presented, for a sufficient number of clinical CT-MR brain images. Finally, quantitative and qualitative results are also presented to validate the performance of these automatic surface-based registration schemes, in terms of consistency and accuracy. Throughout of this study, the automatic registration scheme comprising of the rigid transformation in conjunction with the Simulated Annealing method sequentially combined with the Powell method has been performed superior regarding all the other compared registration schemes.