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MATLAB-based fourier volume rendering framework

机译:基于MATLAB的傅立叶体绘制框架

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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:体绘制在医学成像中起着重要作用。它允许探索通过不同成像方式获取的体积数据的内部结构。这种探索允许准确的诊断并因此进行有效的治疗。存在各种体积渲染技术。但是,与其他技术相比,傅立叶体绘制由于多种原因已被放射学家广泛接受。这项技术产生的衰减效果类似于X射线射线照相,医生对此进行了很好的解释。此外,它还具有O(NlogN)的时间复杂度,因此与空间域渲染技术相比,它可为大型医疗量提供交互式帧速率。与为此技术开发基本渲染管线相关的复杂性阻碍了医学影像科学家将他们的研究重点放在研究新算法上,以提高所得数字X射线照片的重建质量。在本文中,我们为傅立叶体绘制管线提供了一个灵活,可扩展和半交互的基于MATLAB的高级框架。

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