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Radiation dose reduction techniques in cardiac computed tomography: Analysis of myocardial perfusion and coronary angiographic data.

机译:心脏计算机断层扫描中的辐射剂量减少技术:心肌灌注和冠状动脉造影数据的分析。

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摘要

Purpose: A combined CT coronary angiography and myocardial perfusion study not only provides morphological information of coronary artery stenoses, but also provides insight into their functional significance. When coronary angiographic information can be extracted from a myocardial perfusion scan, exposure to both exogenous contrast agents and ionizing radiation can be reduced. However, current dynamic myocardial perfusion scans potentially require a high radiation dose due to the long imaging time needed to record the contrast dynamics. We are investigating low tube current scanning in combination with noise reduction techniques in dynamic CT myocardial perfusion studies and determining the angiographic information that can be extracted from a perfusion scan. Methods: Statistical iterative reconstruction (SIR) methods, the HighlY constrained backPRjection (HYPR) method and the Dose Reduction using Prior Image Constrained Compressed Sensing (DR-PICCS) method were applied to dynamic CT myocardial perfusion datasets acquired at low dose. High dose scans were also acquired and reconstructed using the conventional Filtered Back Projection (FBP) method. Analyses of myocardial perfusion and coronary arteries were performed and compared between the low dose images with noise reduction and the high dose FBP images. Results: With low dose data sets, all three methods were able to achieve an image noise level comparable to that of a high dose FBP image. Both perfusion and coronary artery analyses showed good agreement between the noise reduced low dose reconstructions and the high dose FBP reconstructions. The low dose FBP images were so noisy they were non-diagnostic. At extremely low dose levels, the statistical reconstruction method was able to mitigate structured noise (i.e., streaks) caused by photon starvation. Conclusions: SIR, HYPR and DR-PICCS methods are able to reconstruct images acquired at low dose with lower image noise when compared with the conventional FBP method. SIR in particular can mitigate streaks caused by photon starvation in extreme low dose situations. All three methods enable qualitatively good and quantitatively accurate myocardial perfusion and coronary artery analyses from datasets acquired at low dose.
机译:目的:结合CT冠状动脉造影和心肌灌注研究,不仅可以提供冠状动脉狭窄的形态学信息,而且可以洞察其功能意义。当可以从心肌灌注扫描中提取冠状动脉造影信息时,可以减少暴露于外源性造影剂和电离辐射中。但是,由于记录造影剂动力学需要较长的成像时间,因此当前的动态心肌灌注扫描可能需要高辐射剂量。我们正在研究在动态CT心肌灌注研究中结合降噪技术进行的低管电流扫描,并确定可以从灌注扫描中提取的血管造影信息。方法:将统计迭代重建(SIR)方法,HighlY约束反注射(HYPR)方法和使用先验图像约束压缩感知(DR-PICCS)方法的剂量减少应用于低剂量动态CT心肌灌注数据集。还使用常规的过滤反投影(FBP)方法获取并重建高剂量扫描。进行了心肌灌注和冠状动脉的分析,并在具有降噪功能的低剂量图像和高剂量FBP图像之间进行了比较。结果:使用低剂量数据集,所有这三种方法均能够获得与高剂量FBP图像相当的图像噪声水平。灌注和冠状动脉分析均显示降噪低剂量重建与高剂量FBP重建之间的良好一致性。低剂量FBP图像太嘈杂,无法诊断。在极低的剂量水平下,统计重建方法能够减轻由光子饥饿引起的结构性噪声(即条纹)。结论:与传统的FBP方法相比,SIR,HYPR和DR-PICCS方法能够以低剂量重建低剂量获取的图像。特别是SIR可以减轻在极低剂量情况下由光子饥饿引起的条纹。这三种方法均可从低剂量采集的数据集中获得定性良好且定量准确的心肌灌注和冠状动脉分析。

著录项

  • 作者

    Tao, Yinghua.;

  • 作者单位

    The University of Wisconsin - Madison.;

  • 授予单位 The University of Wisconsin - Madison.;
  • 学科 Health Sciences Radiology.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 138 p.
  • 总页数 138
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:42:17

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