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Magnetic resonance imaging of semi-s...

Stanford University.

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Magnetic resonance imaging of semi-solid tissues.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Magnetic resonance imaging of semi-solid tissues./
Author:	Larson, Peder Eric Zufall.
Description:	172 p.
Notes:	Adviser: Dwight Nishimura.
Contained By:	Dissertation Abstracts International68-09B.
Subject:	Engineering, Biomedical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3281875
ISBN:	9780549244455

Magnetic resonance imaging of semi-solid tissues.
Larson, Peder Eric Zufall.

Magnetic resonance imaging of semi-solid tissues. - 172 p.

Adviser: Dwight Nishimura.

Thesis (Ph.D.)--Stanford University, 2007.

Magnetic resonance imaging (MRI) is a powerful medical imaging modality that provides unique and flexible tissue contrast. It uses no ionizing radiation and can image arbitrary scan planes. MRIs have excellent contrast for soft tissues, such as gray and white matter in the brain, muscles, bone marrow, and internal organs, and also for blood and other fluids. However, conventional imaging methods have little to no signal from solid and semi-solid tissues, such as tendons, ligaments, menisci, cortical and trabecular bone, and many other connective and structured tissues in the body. These solid and semi-solid tissues are characterized by their short transverse relaxation time, T2, and can be imaged with an MRI technique known as ultra-short echo time (UTE) imaging. This dissertation will present two novel methods for improving the contrast of these tissues and a set of design algorithms for improving the imaging efficiency that also can be applied to some other MRI techniques.

ISBN: 9780549244455Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Magnetic resonance imaging of semi-solid tissues.
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020 $a 9780549244455
035 $a (UMI)AAI3281875
035 $a AAI3281875
040 $a UMI $c UMI
100 1 $a Larson, Peder Eric Zufall. $3 1025206
245 1 0 $a Magnetic resonance imaging of semi-solid tissues.
300 $a 172 p.
500 $a Adviser: Dwight Nishimura.
500 $a Source: Dissertation Abstracts International, Volume: 68-09, Section: B, page: 6186.
502 $a Thesis (Ph.D.)--Stanford University, 2007.
520 $a Magnetic resonance imaging (MRI) is a powerful medical imaging modality that provides unique and flexible tissue contrast. It uses no ionizing radiation and can image arbitrary scan planes. MRIs have excellent contrast for soft tissues, such as gray and white matter in the brain, muscles, bone marrow, and internal organs, and also for blood and other fluids. However, conventional imaging methods have little to no signal from solid and semi-solid tissues, such as tendons, ligaments, menisci, cortical and trabecular bone, and many other connective and structured tissues in the body. These solid and semi-solid tissues are characterized by their short transverse relaxation time, T2, and can be imaged with an MRI technique known as ultra-short echo time (UTE) imaging. This dissertation will present two novel methods for improving the contrast of these tissues and a set of design algorithms for improving the imaging efficiency that also can be applied to some other MRI techniques.
520 $a The contrast of tissues with short-T2 values can be improved by suppressing the signal from tissues with long- T2 values, such as fluid and soft tissues. The first method is based on RF pulses, and provides precise long-T2 component suppression. It is an improvement in robustness over previous suppression pulses and can also include fat suppression. The second method is similarly based on RF pulses, and is additionally robust to RF inhomogeneities, improving the reliability of the suppression.
520 $a A set of algorithms was developed to improve the scan efficiency of semi-solid tissue imaging. These algorithms design variable field-of-view shapes for radial imaging techniques, allowing for imaging of non-circular and non-spherical regions that was previously unsupported. Using tailored field-of-view shapes and sizes can be used to improve the speed or quality of the images, and also allows for new radial imaging applications. In addition to semi-solid tissue imaging, radial techniques are also used for cardiac imaging, angiography, and diffusion imaging applications, all of which will also benefit from these design algorithms.
590 $a School code: 0212.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Health Sciences, Radiology. $3 1019076
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690 $a 0544
690 $a 0574
710 2 $a Stanford University. $3 754827
773 0 $t Dissertation Abstracts International $g 68-09B.
790 $a 0212
790 1 0 $a Nishimura, Dwight, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3281875