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MATLAB-based fourier volume rendering framework

机译:基于MATLAB的傅里叶卷渲染框架

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Volume rendering plays a significant role in medical imaging. It allows exploring the internal structures of volumetric data acquired by the different imaging modalities. This exploration allows accurate diagnosis and consequently effective treatment. Various volume rendering techniques exists. However, compared to other techniques, Fourier volume rendering has gained a wide acceptance by the radiologists for several reasons. This technique generates attenuation renderings similar to x-ray radiographs that are well interpreted by the physicians. Additionally, it works with time complexity of O(NlogN), and thus, it delivers interactive frame rates for large scale medical volumes in comparison with spatial-domain rendering techniques. The complexity associated with developing a basic rendering pipeline for this technique hinders medical imaging scientists from focusing their research on investigating new algorithms for improving the reconstruction quality of the resulting digital radiographs. In this paper, we present a flexible, extensible and semi-interactive high-level MATLAB-based framework for the Fourier volume rendering pipeline.
机译:体积渲染在医学成像中发挥着重要作用。它允许探索由不同的成像模式获取的体积数据的内部结构。该探索允许准确的诊断,从而有效治疗。存在各种体积渲染技术。然而,与其他技术相比,由于几种原因,傅里叶体积渲染已经通过放射科医师获得了广泛的接受。该技术产生类似于由医生解释的X射线射线照相的衰减渲染。此外,它适用于O(NLogn)的时间复杂度,因此,与空间域渲染技术相比,它为大规模医学卷提供交互式帧速率。与开发这种技术的基本渲染管线相关的复杂性妨碍了医学成像科学家,专注于研究新算法,以改善所得数字射线照片的重建质量。在本文中,我们为傅立叶卷渲染管道提供了一种基于灵活,可扩展和半交互的高级MATLAB框架。

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