三维功率多普勒成像的多体渲染

R. Managuli, Y. Yoo, Yongmin Kim
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引用次数: 7

摘要

多体绘制(MVR)已被用于更好地定位肿瘤,通过整合结构,如计算机断层扫描(CT)和生理/功能三维信息,如正电子发射断层扫描(PET)在其他医学成像方式。超声成像中bw模式和功率多普勒之间的类似融合提供了更好的可视化和更好地理解解剖结构与血流之间的相关性,例如心脏、肾脏、肝脏。本文提出了三种超声成像融合算法:复合融合(CF)、后融合(PF)和渐进融合(PGF)。在CF中,BW和功率多普勒体积在体积渲染期间融合,而在PF中,这两个体积分别渲染,然后使用alpha混合融合。在PGF中,融合分几个阶段进行,并且在渲染期间和之后都发生了体积的混合。CF需要渲染RGB体积,但在PF和PGF中可以对亮度(灰度)值进行渲染以节省计算。我们研究了这三种融合技术,使用商用超声仪(即,EUB-6500,日立医疗公司,日本)从肾脏和肝脏获得的体内数据。PF显示了组织和血流之间的相关性,但失去了深度信息。CF提供深度线索信息,但为渲染体积分配人工颜色,因为它在合成过程中改变了R, G和B值之间的比例。PGF保留了指定的RGB颜色,也提供了深度信息,但比PF和CF更不透明。每种方法都有互补的优势。因此,用所有三种方法评估体积可能对临床医生进行诊断评估有用。我们将详细介绍这些算法以及它们的相对优缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-volume rendering for three-dimensional power doppler imaging
Multi-volume rendering (MVR) has been used for better localization of tumors by integrating structural, e.g., Computed Tomography (CT), and physiological/functional 3D information, e.g., Positron Emission Tomography (PET) in other medical imaging modalities. Similar fusion in ultrasound imaging between BW-mode and Power Doppler provides improved visualization and better understanding of the correlation between anatomical structures and blood flow, e.g., heart, kidney, liver. In this paper, we present three fusion algorithms for ultrasound imaging: Composite Fusion (CF), Post Fusion (PF) and Progressive Fusion (PGF). In the CF, BW and Power Doppler volumes are fused during volume rendering while in PF both volumes are rendered separately and then fused using alpha blending. In PGF, fusion is performed at several stages and intermixing of volumes occurs both during and after rendering. CF requires the rendering of RGB volume, but in PF and PGF rendering can be performed on luminance (grayscale) values to save computation. We have investigated these three fusion techniques using in vivo data acquired from kidney and liver using a commercial ultrasound machine (i.e., EUB-6500, Hitachi Medical Corporation, Japan). PF displays correlation between tissue and blood flow but loses depth information. The CF provides depth cue information but assigns artificial color to the rendered volume since it changes the ratio between R, G and B values during compositing. PGF retains the assigned RGB color and also provides depth information but renders volume more opaque than PF and CF. Each of these methods has complementary advantages. Thus, evaluating volumes with all three methods could be useful for clinicians to perform diagnostic evaluation. We will present these algorithms along with their relative advantages and disadvantages in detail.
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