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Novel Approach to Development of Direct Volume Rendering Algorithms Based on Visualization Quality Assessment

机译:基于可视化质量评估的直接体绘制算法开发的新方法

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摘要

A novel approach to the development of direct volume rendering algorithms is proposed. The approach is based on the assessment of the visualization quality. Analysis of rendering artifacts and various assessment methods is done using 3D reconstructed medical tomograms as test datasets. Analysis of the previous research on methods of 3D visualization quality assessment and quality improvement is presented. 3D visualization artifacts and quality measurement method (quantitative estimation) is proposed. The method does not require any ground truth image; hence, it is a universal approach to measure the quality of the 3D-reconstruction by any ray casting technique. The method is based on generation of the reference image as a mathematical expectation for a set of 3D visualizations obtained via the jittering technique. Start position of the rays are being shifted randomly towards their directions. To estimate the deviation of a pixel value from mathematical expectation, we use PSNR metrics, which is traditional metrics in signal and image processing and measures deviation in the decibel scale. The conditions of a proper use of the technique are discussed. A new virtual samplings method with preintegration is proposed to reduce sampling artifacts in the ray casting algorithm. The novelty of the method consists in using pre-integrated classification instead of post-classification in the virtual sampling method. A novel approach to 3D visualization algorithms development based on analysis of a ray casting method in quality-performance space is demonstrated by comparing the state-of-the-art ray casting methods and the proposed method. The comparative analysis revealed an advantage of the classical pre-integrated method in the case of using trilinear filtering without local shading. It also showed the advantage of the proposed virtual sampling method with pre-integration in the case of using tricubic filtering with local lighting.
机译:提出了一种直接体积渲染算法开发的新方法。该方法基于可视化质量的评估。使用3D重建医学X线断层图作为测试数据集,可以进行渲染伪像和各种评估方法的分析。介绍了对3D可视化质量评估和质量改进方法的先前研究的分析。提出了3D可视化伪影和质量测量方法(定量估计)。该方法不需要任何地面真相图像;因此,这是一种通过任何射线投射技术来测量3D重建质量的通用方法。该方法基于参考图像的生成,该参考图像是对通过抖动技术获得的一组3D可视化效果的数学期望。光线的起始位置正朝其方向随机移动。为了估计像素值与数学期望值之间的偏差,我们使用PSNR指标,该指标是信号和图像处理中的传统指标,并以分贝标度衡量偏差。讨论了正确使用该技术的条件。提出了一种新的带有预积分的虚拟采样方法,以减少射线投射算法中的采样伪像。该方法的新颖性在于在虚拟采样方法中使用预集成分类而不是后分类。通过比较最新的射线投射方法和所提出的方法,论证了一种基于质量性能空间中的射线投射方法的3D可视化算法开发的新方法。比较分析表明,在使用三线性滤波而无局部阴影的情况下,经典的预积分方法具有优势。在使用带局部照明的三次立方滤波的情况下,它也显示了所建议的虚拟采样方法的优势。

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