Normal distributions transform in multi-modal image registration of optical coherence tomography and computed tomography datasets

Normal distributions transform in multi-modal image registration of optical coherence tomography and computed tomography datasets
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光学相干断层扫描和计算机断层扫描数据集的多模态图像配准中的正态分布变换

DOI:
10.1117/12.2043623
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发表时间:
2014
期刊:
影响因子:
--
通讯作者:
Ortmaier
Ortmaier
中科院分区:
--
文献类型:
--
作者:
Díaz Díaz;Majdani;Ortmaier

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近年来,光学相干断层扫描(OCT)不仅作为成像设备,而且作为手术干预的导航系统,已获得越来越多的关注。这种方法需要将术中OCT与术前计算机断层扫描(CT)数据配准。在这项研究中,我们评估算法的OCT和CT数据的人颞骨标本的多模态图像配准。我们专注于该领域常见的相似性度量,例如,归一化互信息、归一化互相关和迭代最近点。我们评估和比较他们的准确性相对较新的正态分布变换(NDT),这是非常常见的同时定位和映射的应用程序,但并没有广泛应用于图像配准。考虑适当的图像预处理、上述相似性度量和局部优化算法以及线搜索优化来实现匹配。为了评估的目的,与基准地标的基于点的配准的结果被视为地面实况。第一结果表明,现有技术的相似性函数的状态不执行所需的精度,当应用于未处理的图像数据。相比之下,NDT似乎可以实现更高的配准精度。
In recent years, optical coherence tomography (OCT) has gained increasing attention not only as an imaging device, but also as a navigation system for surgical interventions. This approach demands to register intraoperative OCT to pre-operative computed tomography (CT) data. In this study, we evaluate algorithms for multi-modal image registration of OCT and CT data of a human temporal bone specimen. We focus on similarity measures that are common in this field, e.g., normalized mutual information, normalized cross correlation, and iterative closest point. We evaluate and compare their accuracies to the relatively new normal distribution transform (NDT), that is very common in simultaneous localization and mapping applications, but is not widely used in image registration. Matching is realized considering appropriate image pre-processing, the aforementioned similarity measures, and local optimization algorithms, as well as line search optimization. For evaluation purpose, the results of a point-based registration with fiducial landmarks are regarded as ground truth. First results indicate that state of the art similarity functions do not perform with the desired accuracy, when applied to unprocessed image data. In contrast, NDT seems to achieve higher registration accuracy.
用于脊柱手术自动配准的光学相干断层扫描 (OCT)
DOI: 10.1364/bio.1999.jwa4
发表时间: 1999
期刊: Biosilico
影响因子: --
作者:
C. Hauger;Werner Poeltinger;T. Mergenthaler;V. Braun;O. Schneider;Annette Schneider
通讯作者: Annette Schneider
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DOI: 10.1007/978-3-642-40760-4_44
发表时间: 2013
期刊: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子: --
作者:
J. D. Díaz;D. Kundrat;Kim;O. Majdani;T. Ortmaier
通讯作者: T. Ortmaier
DOI: 10.1007/s11548-009-0360-8
发表时间: 2009-09-01
影响因子: 3
作者:
Majdani, Omid;Rau, Thomas S.;Leinung, Martin
通讯作者: Leinung, Martin