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Cone-beam multislice spiral computed tomography: Novel reconstruction and applications.

机译:锥束多层螺旋计算机断层扫描:新颖的重建和应用。

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摘要

A new family of cone-beam reconstruction algorithm, the General Surface Reconstruction (GSR), is proposed and formulated in this thesis for multi-slice spiral CT reconstructions. It provides a general framework to allow the reconstruction of planar or nor-planar surfaces using 2D filtered backprojection on a set of rebinned short-scan parallel beam projection data. Several different surface formation methods are proposed based upon various criteria and methods to minimize the adverse effect between the collected cone-beam projection data and the reconstruction surfaces. The superiority of the non-planar surfaces over planar surfaces in the 2D approximate cone-beam reconstructions is mathematically proved and demonstrated using numerical simulations.; The physical performances of the proposed algorithm have been evaluated according to its image artifacts, the center and off-center slice sensitivity profiles (SSP), the in-plane modulation transfer function (MTF), radiation dose utilization and the noise properties using computer simulations. The evaluation results show that the GSR algorithm generates much better image qualities compared to conventional multi-slice reconstruction algorithms. For a table speed up to 80 mm per rotation at beam width of 128 x 1 mm, GSR does not show obvious artifact in the low-contrast ball phantom and thorax phantom. All other performance parameters are comparable to the single-slice 180° LI algorithm, which is considered the “gold standard”. GSR also achieves high computing efficiency and good temporal resolution, which makes it a very promising cone-beam reconstruction algorithm for next generation multi-slice spiral CT with large number of detector rings.; Cone-beam multi-slice spiral CT with specially designed reconstruction algorithms leads to many possible new clinical applications. A modified GSR algorithm was proposed for cardiac reconstruction in cone-beam spiral CT to achieve high temporal resolution and capture all cardiac phases. Based on this cardiac reconstruction algorithm, a new cardiac imaging protocol was proposed which involves a single contrast enhanced spiral CT scan to simultaneously measure the coronary artery stenosis and the left ventricular function. The feasibility of this protocol has been verified using several preliminary clinical trials. The GSR algorithm has also been generalized for flat-panel micro-CT reconstructions.
机译:本文提出并提出了一种新的锥束重建算法,即通用表面重建(GSR),用于多层螺旋CT重建。它提供了一个通用框架,允许在一组重新组合的短扫描平行光束投影数据上使用2D滤波反投影来重建平面或非平面表面。基于各种标准和方法,提出了几种不同的表面形成方法,以最小化所收集的锥束投影数据和重建表面之间的不利影响。在二维近似锥形束重建中,非平面表面相对于平面的优越性已通过数学模拟得到了数学证明和证明。所提出算法的物理性能已根据其图像伪影,中心和偏心切片灵敏度分布图(SSP),面内调制传递函数(MTF),辐射剂量利用率和噪声特性进行了计算机仿真评估。评估结果表明,与传统的多层重建算法相比,GSR算法产生了更好的图像质量。对于光束宽度为128 x 1 mm的旋转速度高达80 mm的工作台,GSR在低对比度球体模型和胸部体模中不会显示明显的伪影。所有其他性能参数可与单片180°LI算法相媲美,后者被认为是“黄金标准”。 GSR还具有较高的计算效率和良好的时间分辨率,这使其成为具有大量检测器环的下一代多层螺旋CT极有希望的锥束重建算法。具有特殊设计的重建算法的锥形束多层螺旋CT导致许多可能的新临床应用。提出了一种改进的GSR算法,用于锥束螺旋CT的心脏重建,以实现高时间分辨率并捕获所有心脏相位。基于这种心脏重建算法,提出了一种新的心脏成像方案,该方案包括单次增强对比螺旋CT扫描以同时测量冠状动脉狭窄和左心室功能。该协议的可行性已通过多项初步临床试验得到验证。 GSR算法也已经推广到平板微CT重建。

著录项

  • 作者

    Chen, Laigao.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Biophysics Medical.; Health Sciences Radiology.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 117 p.
  • 总页数 117
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物物理学;预防医学、卫生学;
  • 关键词

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