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Fast calculation of digitally reconstructed radiographs using light fields

机译:使用光场快速计算数字重建的射线照片

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Calculating digitally reconstructed radiographs (DRRs) is an important step in intensity-based nuoroscopy-to-CT image registration methods. Unfortunately, the standard techniques to generate DRRs involve ray casting and run in time O(n~3), where we assume that n is approximately the size (in voxels) of one side of the DRR as well as one side of the CT volume. Because of this, generation of DRRs is typically the rate-limiting step in the execution time of intensity-based fluoroscopy-to-CT registration algorithms. We address this issue by extending light field rendering techniques from the computer graphics community to generate DRRs instead of conventional rendered images. Using light fields allows most of the computation to be performed in a preprocessing step; after this precomputation step, very accurate DRRs can be generated in time O(n~2). Using a light field generated from 1,024 DRRs of resolution 256 x 256, we can create new DRRs that appear visually identical to ones generated by conventional ray casting. Importantly, the DRRs generated using the light field are computed over 300 times faster than DRRs generated using conventional ray casting (50 vs. 17,000 ms on a PC with a 2 GHz Intel Pentium 4 processor).
机译:计算数字重建的X射线照片(DRR)是基于强度的从X线透视到CT图像配准方法的重要一步。不幸的是,生成DRR的标准技术涉及射线投射并且在时间O(n〜3)中运行,我们假设n大约等于DRR一侧以及CT体积一侧的大小(以体素表示) 。因此,DRR的生成通常是基于强度的透视到CT配准算法执行时间中的限速步骤。我们通过扩展计算机图形社区的光场渲染技术来生成DRR而不是常规渲染图像来解决此问题。使用光场可以使大部分计算在预处理步骤中完成。在该预计算步骤之后,可以在时间O(n〜2)中生成非常准确的DRR。使用从分辨率为256 x 256的1,024个DRR生成的光场,我们可以创建新的DRR,这些DRR在外观上与常规射线投射生成的DRR相同。重要的是,使用光场生成的DRR的计算速度比使用常规射线投射生成的DRR的计算速度快300倍(在配备2 GHz Intel Pentium 4处理器的PC上为50 vs. 17,000 ms)。

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