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Image reconstruction for spiral scan...
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University of Virginia.
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Image reconstruction for spiral scanning in magnetic resonance imaging.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Image reconstruction for spiral scanning in magnetic resonance imaging./
作者:
Chen, Weitian.
面頁冊數:
103 p.
附註:
Adviser: Craig H. Meyer.
Contained By:
Dissertation Abstracts International69-02B.
標題:
Engineering, Biomedical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3302228
ISBN:
9780549476269
Image reconstruction for spiral scanning in magnetic resonance imaging.
Chen, Weitian.
Image reconstruction for spiral scanning in magnetic resonance imaging.
- 103 p.
Adviser: Craig H. Meyer.
Thesis (Ph.D.)--University of Virginia, 2008.
Spiral scanning is a valuable imaging method in magnetic resonance imaging (MRI). It can achieve high time- and SNR-efficiency in k-space sampling, good immunity to flow and motion effects, and excellent temporal resolution in dynamic imaging.
ISBN: 9780549476269Subjects--Topical Terms:
1017684
Engineering, Biomedical.
Image reconstruction for spiral scanning in magnetic resonance imaging.
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Spiral scanning is a valuable imaging method in magnetic resonance imaging (MRI). It can achieve high time- and SNR-efficiency in k-space sampling, good immunity to flow and motion effects, and excellent temporal resolution in dynamic imaging.
520
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One significant drawback of spiral scanning is that off-resonance can cause image blurring. Correction of these artifacts requires an accurate field map, which is difficult to acquire in many applications. Automatic off-resonance correction methods can be used for image deblurring in spiral scanning without acquisition of a field map. However, these methods are prone to estimation errors. A technique developed in this dissertation is to combine conventional field map acquisition with automatic off-resonance correction to eliminate image blurring caused by off-resonance in spiral scanning.
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Off-resonance can come from main field inhomogeneity, susceptibility induced field inhomogeneity, and concomitant gradient fields. Simultaneous correction of these off-resonance effects causes difficulties in image reconstruction. An efficient image reconstruction method based on a Chebyshev approximation to conjugate phase reconstruction is described to address this problem.
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Spiral scanning can be combined with parallel imaging for further reduction of scan times. However, this technique is hindered by its complicated off-resonance effects. Off-resonance can not only cause image blurring but also interfere with the unaliasing process in spiral parallel imaging. We investigated off-resonance effects in spiral parallel imaging and described the correction methods.
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With the tendency to increase receiver channels in MR systems to improve performance of parallel imaging, the computational cost of the existing reconstruction methods becomes a concern. An auto-calibrated parallel reconstruction method is proposed in this dissertation to address this problem. This technique can be applied for image reconstruction in spiral k-space sampling as well as Cartesian k-space sampling.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3302228
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