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Volumetric three-dimensional intravascular ultrasound visualization using shape-based nonlinear interpolation

机译:基于形状的非线性插值的三维三维血管内超声可视化

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Background Intravascular ultrasound (IVUS) is a standard imaging modality for identification of plaque formation in the coronary and peripheral arteries. Volumetric three-dimensional (3D) IVUS visualization provides a powerful tool to overcome the limited comprehensive information of 2D IVUS in terms of complex spatial distribution of arterial morphology and acoustic backscatter information. Conventional 3D IVUS techniques provide sub-optimal visualization of arterial morphology or lack acoustic information concerning arterial structure due in part to low quality of image data and the use of pixel-based IVUS image reconstruction algorithms. In the present study, we describe a novel volumetric 3D IVUS reconstruction algorithm to utilize IVUS signal data and a shape-based nonlinear interpolation. Methods We developed an algorithm to convert a series of IVUS signal data into a fully volumetric 3D visualization. Intermediary slices between original 2D IVUS slices were generated utilizing the natural cubic spline interpolation to consider the nonlinearity of both vascular structure geometry and acoustic backscatter in the arterial wall. We evaluated differences in image quality between the conventional pixel-based interpolation and the shape-based nonlinear interpolation methods using both virtual vascular phantom data and in vivo IVUS data of a porcine femoral artery. Volumetric 3D IVUS images of the arterial segment reconstructed using the two interpolation methods were compared. Results In vitro validation and in vivo comparative studies with the conventional pixel-based interpolation method demonstrated more robustness of the shape-based nonlinear interpolation algorithm in determining intermediary 2D IVUS slices. Our shape-based nonlinear interpolation demonstrated improved volumetric 3D visualization of the in vivo arterial structure and more realistic acoustic backscatter distribution compared to the conventional pixel-based interpolation method. Conclusions This novel 3D IVUS visualization strategy has the potential to improve ultrasound imaging of vascular structure information, particularly atheroma determination. Improved volumetric 3D visualization with accurate acoustic backscatter information can help with ultrasound molecular imaging of atheroma component distribution.
机译:背景技术血管内超声(IVUS)是一种用于识别冠状动脉和周围动脉斑块形成的标准成像方法。三维三维(3D)IVUS可视化提供了一个强大的工具,可以克服复杂的动脉形态空间分布和声学后向散射信息方面的二维IVUS有限的综合信息。常规的3D IVUS技术部分地由于图像数据质量低和基于像素的IVUS图像重建算法的使用,提供了动脉形态的次优可视化或缺少有关动脉结构的声学信息。在本研究中,我们描述了一种新颖的体积3D IVUS重建算法,以利用IVUS信号数据和基于形状的非线性插值。方法我们开发了一种算法,可以将一系列IVUS信号数据转换为完全体积的3D可视化。利用自然三次样条插值法生成原始2D IVUS切片之间的中间切片,以考虑动脉壁中血管结构几何形状和声学反向散射的非线性。我们使用猪股动脉的虚拟血管幻象数据和体内IVUS数据评估了传统的基于像素的插值和基于形状的非线性插值方法之间的图像质量差异。比较了使用两种插值方法重建的动脉段的体积3D IVUS图像。结果使用常规的基于像素的插值方法进行的体外验证和体内比较研究表明,基于形状的非线性插值算法在确定中间2D IVUS切片时具有更高的鲁棒性。与传统的基于像素的插值方法相比,我们基于形状的非线性插值方法改善了体内动脉结构的体积3D可视化,并实现了更逼真的声学反向散射分布。结论这种新颖的3D IVUS可视化策略具有改善血管结构信息(尤其是动脉粥样硬化测定)的超声成像的潜力。具有准确的声学反向散射信息的改进的体积3D可视化可以帮助对动脉粥样硬化成分分布进行超声分子成像。

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