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Image acquisition and reconstruction methods for fast magnetic resonance imaging.

机译:用于快速磁共振成像的图像采集和重建方法。

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摘要

Magnetic resonance imaging (MRI) is a medical imaging modality of great interest due to its non-invasive nature and excellent soft tissue contrast. However, one of the major challenges in MRI is image acquisition speed. To enable faster imaging speed using MRI, several different image acquisition and reconstruction methods were developed.;A variable-density k-space sampling approach has been used to reduce the sampling rate beyond the limit imposed by the Nyquist criterion by under-sampling in the high-spatial-frequency region. Variable-density sampling was applied to stack-of-spirals trajectories for fast 3D imaging. Experimental results show the effectiveness of this variable-density sampling method for 3D imaging.;The technique was then applied to the clinical problem of assessing perfusion in the lower limb, which requires fast time-resolved volumetric imaging to track the first-pass contrast enhancement. Normal volunteer and patient study results confirm the technique's capability to assess perfusion. A new processing method that deconvolves the arterial input function using convex optimization also shows promise for more quantitative perfusion assessment.;Although variable-density sampling has been used in various imaging schemes for fast imaging, the optimal sampling pattern has not been previously determined. Given prior information of the object, which is characterized by an orthogonal basis set, optimal sampling locations were determined and tested on phantom and in-vivo data sets.;Partial k-space reconstruction, which exploits the Hermitian symmetry of MRI data, is widely used for faster imaging in Cartesian sampling schemes. However, partial k-space reconstruction for spiral trajectories has long been difficult. A new method using projection onto convex sets (POCS) allows partial k-space reconstruction for spiral trajectories.;PILS is a fast imaging technique that utilizes the localized sensitivities of multiple receiver coils. Here, this method is improved by allowing under-sampling in the readout direction. Furthermore, multiple demodulation hardware is proposed for the implementation of this improved technique.;High resolution imaging using MR is very challenging due to problems such as low signal-to-noise ratio and motion. By using small surface coils with fast spiral imaging sequences, these difficulties can be overcome. The proposed technique provides excellent in-vivo skin imaging results with resolution approaching 78 x 78 x 500 mum 3.
机译:由于磁共振成像(MRI)的非侵入性性质和出色的软组织对比度,因此它是引起人们极大兴趣的医学成像模式。但是,MRI的主要挑战之一是图像采集速度。为了使使用MRI的成像速度更快,开发了几种不同的图像采集和重建方法。可变密度k空间采样方法已被采用,其方法是通过对图像进行欠采样来将采样率降低到超过奈奎斯特准则所规定的极限。高空间频率区域。将可变密度采样应用于螺旋堆叠轨迹以进行快速3D成像。实验结果证明了这种可变密度采样方法在3D成像中的有效性。;然后将该技术应用于评估下肢灌注的临床问题,该技术需要快速分辨的体积成像来追踪首过对比度的增强。正常的志愿者和患者研究结果证实了该技术评估灌注的能力。一种使用凸优化对动脉输入函数进行反卷积的新处理方法,也显示了进行定量灌注评估的希望。尽管可变密度采样已在各种成像方案中用于快速成像,但之前尚未确定最佳采样模式。给定对象的先验信息(以正交基集为特征),确定最佳采样位置并在幻像和体内数据集上进行测试。;利用MRI数据的埃尔米特对称性的局部k空间重建方法广泛用于笛卡尔采样方案中的更快成像。但是,长期以来,对于螺旋轨迹进行局部k空间重构一直很困难。一种使用凸集投影(POCS)的新方法允许对螺旋轨迹进行部分k空间重构。PILS是一种利用多个接收线圈的局部灵敏度的快速成像技术。在此,通过允许在读出方向上进行欠采样来改进该方法。此外,为实现这种改进的技术,提出了多种解调硬件。由于存在信噪比和运动低等问题,使用MR进行高分辨率成像非常具有挑战性。通过使用具有快速螺旋成像序列的小型表面线圈,可以克服这些困难。所提出的技术提供了出色的体内皮肤成像结果,分辨率接近78 x 78 x 500 mum 3。

著录项

  • 作者

    Lee, Jin Hyung.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Electrical engineering.;Medical imaging.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 117 p.
  • 总页数 117
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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