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
复制标题
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
中科院分区:
文献类型:
--
作者:
Díaz Díaz;Majdani;Ortmaier
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.
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
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