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A Practical PET/CT Data Visualization Method with Dual-Threshold PET Colorization and Image Fusion
Computers in Biology and Medicine ( IF 7.7 ) Pub Date : 2020-10-10 , DOI: 10.1016/j.compbiomed.2020.104050
Yu Liu 1 , Chao Zhang 1 , Chang Li 1 , Juan Cheng 1 , Yadong Zhang 2 , Huiqin Xu 2 , Tao Song 3 , Liang Zhao 3 , Xun Chen 4
Affiliation  

Multi-modal medical imaging has emerged as a general trend in clinical diagnosis and treatment planning. In recent years, great efforts have been made to investigate and develop dual-modality scanners, among which PET/CT is the most widespread one in clinical practice. In this paper, we propose a simple yet effective PET/CT data visualization method that can integrate these two modalities into composite data for better observation. The proposed method consists of three main steps. First, a PET data colorization approach is presented based on a dual-threshold scheme, which applies a pair of high and low thresholds to colorize the PET image. Then, to extract functional information from the PET image more adequately, unlike traditional blending fashion that directly uses the CT image as underlay, we merge the CT and the PET images with a Laplacian pyramid (LP)-based image fusion approach to generate the underlay. Finally, the visualization result is obtained by blending the fused image and the colorized PET image. Experiments are conducted on 5 sets of PET/CT scans that contains 200 paired slices in total. The ClearCanvas software and the method using the presented PET colorization approach but with the CT image as underlay are adopted for comparison. Experimental results demonstrate that the proposed method can achieve more promising performance in terms of both visual perception and quantitative assessment. The code of the proposed method has been made available online at https://github.com/yuliu316316/Visualization.



中文翻译:

具有双阈值PET着色和图像融合的实用PET / CT数据可视化方法

多模式医学成像已成为临床诊断和治疗计划中的普遍趋势。近年来,为研究和开发双模态扫描仪做出了巨大的努力,其中PET / CT是临床实践中最广泛的一种。在本文中,我们提出了一种简单而有效的PET / CT数据可视化方法,该方法可以将这两种模态集成到复合数据中以进行更好的观察。所提出的方法包括三个主要步骤。首先,提出了一种基于双阈值方案的PET数据着色方法,该方案使用一对高阈值和低阈值对PET图像进行着色。然后,为了更充分地从PET图像中提取功能信息,这与传统的将CT图像直接用作底衬的混合方式不同,我们使用基于拉普拉斯金字塔(LP)的图像融合方法合并CT和PET图像,以生成参考底图。最后,通过融合融合图像和彩色PET图像获得可视化结果。实验对5组PET / CT扫描进行,总共包含200对配对的切片。比较采用ClearCanvas软件和使用提出的PET着色方法但以CT图像为底衬的方法进行比较。实验结果表明,所提出的方法在视觉感知和定量评估方面都可以实现更有希望的性能。实验对5组PET / CT扫描进行,总共包含200对配对的切片。比较采用ClearCanvas软件和使用提出的PET着色方法但以CT图像为底衬的方法进行比较。实验结果表明,所提出的方法在视觉感知和定量评估方面都可以实现更有希望的性能。实验对5组PET / CT扫描进行,总共包含200对配对的切片。比较采用ClearCanvas软件和使用提出的PET着色方法但以CT图像为底衬的方法进行比较。实验结果表明,所提出的方法在视觉感知和定量评估方面都可以实现更有希望的性能。提议的方法的代码已在 https://github.com/yuliu316316/Visualization在线提供

更新日期:2020-10-11
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