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Reconstruction techniques for magnet...

Noll, Douglas Clair.

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Reconstruction techniques for magnetic resonance imaging.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reconstruction techniques for magnetic resonance imaging./
作者:	Noll, Douglas Clair.
面頁冊數:	166 p.
附註:	Source: Dissertation Abstracts International, Volume: 52-09, Section: B, page: 4903.
Contained By:	Dissertation Abstracts International52-09B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9206832

Reconstruction techniques for magnetic resonance imaging.
Noll, Douglas Clair.

Reconstruction techniques for magnetic resonance imaging. - 166 p.

Source: Dissertation Abstracts International, Volume: 52-09, Section: B, page: 4903.

Thesis (Ph.D.)--Stanford University, 1991.

This item must not be sold to any third party vendors.

Magnetic resonance (MR) imaging has become a valuable tool for diagnostic medical imaging because of its excellent soft tissue contrast. In this thesis, several techniques for image reconstruction and detection are developed. Homodyne detection, a linear detection scheme for MR images,is described and used to replace magnitude or envelope detection for several applications. These applications include noise reduction, partial k-space reconstruction, water-fat separation, and polarity preservation for inversion recovery. Radial-line or projection-reconstruction image acquisition is useful for imaging organs and tissues that have rapidly decaying signals or complex flow, but requires increased imaging times. A half k-space reconstruction technique for projection-reconstruction MR imaging is developed to halve imaging time. Spiral-scan image acquisition is a valuable method for fast imaging, but suffers from a blurred impulse response when the receiver and the reconstruction are not tuned to the local resonant frequency of the tissue. Projection-reconstruction imaging also demonstrates this blur. Two reconstruction techniques that correct for magnetic field inhomogeneity and other sources of off-resonance are developed for these imaging methods. These reconstruction techniques require a map of the local resonance frequencies. An automatic image de-blurring method is introduced for the removal of blur from these images without using a frequency map. This method automatically determines what parts of images are unblurred by applying processing algorithms.Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Reconstruction techniques for magnetic resonance imaging.
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245 1 0 $a Reconstruction techniques for magnetic resonance imaging.
300 $a 166 p.
500 $a Source: Dissertation Abstracts International, Volume: 52-09, Section: B, page: 4903.
500 $a Adviser: Albert Macovski.
502 $a Thesis (Ph.D.)--Stanford University, 1991.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a Magnetic resonance (MR) imaging has become a valuable tool for diagnostic medical imaging because of its excellent soft tissue contrast. In this thesis, several techniques for image reconstruction and detection are developed. Homodyne detection, a linear detection scheme for MR images,is described and used to replace magnitude or envelope detection for several applications. These applications include noise reduction, partial k-space reconstruction, water-fat separation, and polarity preservation for inversion recovery. Radial-line or projection-reconstruction image acquisition is useful for imaging organs and tissues that have rapidly decaying signals or complex flow, but requires increased imaging times. A half k-space reconstruction technique for projection-reconstruction MR imaging is developed to halve imaging time. Spiral-scan image acquisition is a valuable method for fast imaging, but suffers from a blurred impulse response when the receiver and the reconstruction are not tuned to the local resonant frequency of the tissue. Projection-reconstruction imaging also demonstrates this blur. Two reconstruction techniques that correct for magnetic field inhomogeneity and other sources of off-resonance are developed for these imaging methods. These reconstruction techniques require a map of the local resonance frequencies. An automatic image de-blurring method is introduced for the removal of blur from these images without using a frequency map. This method automatically determines what parts of images are unblurred by applying processing algorithms.
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650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Health Sciences, Radiology. $3 1019076
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773 0 $t Dissertation Abstracts International $g 52-09B.
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