李鹤虹,罗良平.基于多重分形谱的婴幼儿10mAs低分辨率CT图像优化分析[J].中华放射医学与防护杂志,2009,29(1):106-108
基于多重分形谱的婴幼儿10mAs低分辨率CT图像优化分析
Evaluation of 10 mAs and low-contrast CT image optimization based on the multifractal spectrum in brain of infant
投稿时间:2008-09-26  
DOI:10.3760/cma.j.issn.0254-5098.2009.01.036
中文关键词:  婴幼儿  多重分形谱  体层摄影术  X线计算机
英文关键词:Infants  Multifractal spectrum  Tomogaphy  X-ray computed
基金项目:
作者单位E-mail
李鹤虹 510632 广州, 暨南大学第一临床医学院医学影像中心  
罗良平 510632 广州, 暨南大学第一临床医学院医学影像中心 tluolp@jnu.edu.cn 
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中文摘要:
      目的 对婴幼儿脑的64层CT低分辨率扫描图像进行分形计算及优化分析。方法将Toshiba Aquilion 64层CT使用10 mAs扫描婴幼儿脑的CT成像原始数据输入Matlab7.1图像工具箱,进行多重分形谱分析和实验性图像降噪,并与常规低剂量扫描50 mAs组图像质量进行对比。结果 10 mAs原始图像的严重噪声导致医学诊断价值丧失,使用多重分形模型降噪后的图像具有良好的图像细节保持特性及良好的细节保持特性,虽然图像质量评分仍远不如常规剂量图像,但与原始噪声图像比较,其差异有统计学意义(F=38.85,P<0.01),表明经分形模型降噪优化后的图像可以基本满足临床诊断。结论 多重分形谱降噪可用于低剂量低分辨率CT图像的优化,能提高病变检出敏感性的对比度/噪声比,进一步研究应用有望大幅度减少婴幼儿CT扫描的辐射剂量。
英文摘要:
      Objective To analyze scanned image optimization based on the multifractal soectrum and image fractal algorithm of 64-slice spiral CT in brain of infant.Methods The image data of Toshiba Aquilion 64-slice CT scanning using 10 mAs were imported to image processing toolboxs of Matlab 7.1. The evaluation of multifractal spectrum and image denosing were performed,and compared with image quality of conventional low-dose CT using 50 mAs.Results The low-contrast scanned image used 10 mAs is the valueless medical image because of serious noise. Image denoise based on the fractal model had superior characteristic of image detail preserving and better contrast-to-noise ratio(CNR). There existed a group difference in the score of image quality between the rude imaging noise and optimized image based on the multifractal spectrum algorithm, though the score was still significantly lower than the normal dosage scanned image(F=38.85,P<0.01). The group difference was also manifested the image quality of infants can achieve basically the request of clinical diagnosis by suitable model denoising algorithm.Conclusion Image denoising based on the multifractal spectrum model can be used on the low-dose and low-contrast CT image optimization. It improved the CNR of the pathological region. The radiation dose of CT scanning in infants would be declined significantly by its further application in the future.
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