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首页> 外文会议>Conference on Medical Imaging 2008: Imaging Processing; 20080217-19; San Diego,CA(US) >Semi-Automatic Matching of OCT and IVUS Images For Image Fusion
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Semi-Automatic Matching of OCT and IVUS Images For Image Fusion

机译：OCT和IVUS图像的半自动匹配以进行图像融合

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摘要

Medical imaging is essential in the diagnosis of atherosclerosis. In this paper, we propose the semi-automatic matching of two promising and complementary intravascular imaging techniques, Intravascular Ultrasound (IVUS) and Optical Coherence Tomography (OCT), with the ultimate goal of producing hybrid images with increased diagnostic value for assessing arterial health. If no ECG gating has been performed on the IVUS and OCT pullbacks, there is typically an anatomical shuffle (displacement in time and space) in the image sequences due to the catheter motion in the artery during the cardiac cycle, and thus, this is not possible to perform a 3D registration. Therefore, the goal of our work is to detect semi-automatically the corresponding images in both modalities as a preprocessing step for the fusion. Our method is based on the characterization of the lumen shape by a set of Gabor Jets features. We also introduce different correction terms based on the approximate position of the slice in the artery. Then we train different support vector machines based on these features to recognize these correspondences. Experimental results demonstrate the usefulness of our approach, which achieves up to 95% matching accuracy for our data.
机译：医学成像对动脉粥样硬化的诊断至关重要。在本文中，我们提出了两种有前途且互补的血管内成像技术，即血管内超声（IVUS）和光学相干断层扫描（OCT）的半自动匹配，其最终目的是产生具有增强诊断价值的混合图像，以评估动脉健康。如果未对IVUS和OCT撤回执行ECG门控，则由于心动周期中动脉在导管中运动，图像序列中通常会出现解剖上的混洗（时间和空间的位移），因此这不是可以执行3D注册。因此，我们的工作目标是在两种模式下半自动检测对应的图像，作为融合的预处理步骤。我们的方法基于一组Gabor Jets功能对管腔形状的表征。我们还基于切片在动脉中的大致位置引入了不同的校正项。然后，我们根据这些特征训练不同的支持向量机，以识别这些对应关系。实验结果证明了我们方法的有效性，该方法可为我们的数据实现高达95％的匹配精度。

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