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Advanced acquisition and reconstruct...

Arunachalam, Arjun.

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Advanced acquisition and reconstruction techniques for accelerated three-dimensional magnetic resonance angiography.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advanced acquisition and reconstruction techniques for accelerated three-dimensional magnetic resonance angiography./
作者:	Arunachalam, Arjun.
面頁冊數:	93 p.
附註:	Advisers: Walter F. Block; Willis J. Tompkins.
Contained By:	Dissertation Abstracts International67-06B.
標題:	Biophysics, Medical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3222936
ISBN:	9780542754494

Advanced acquisition and reconstruction techniques for accelerated three-dimensional magnetic resonance angiography.
Arunachalam, Arjun.

Advanced acquisition and reconstruction techniques for accelerated three-dimensional magnetic resonance angiography. - 93 p.

Advisers: Walter F. Block; Willis J. Tompkins.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2006.

Sampling the MR Fourier space, known as k-space, is typically performed along a Cartesian raster pattern due to the methods robust behavior in regard to off-resonance spins and certain system errors and instabilities. Rapid scanning by undersampling k-space is not possible in Cartesian sampling due to the presence of coherent aliasing or ghosting patterns. However, radial data acquisition sampling pattern can be accelerated with tolerable incoherent aliasing artifacts while providing high spatial resolution rapidly, especially in high contrast environments. Temporal filtering of this variable density radial sampling strategy can also easily produce time-resolved images indicating dynamic processes such as blood flow patterns or tumor enhancement. An automatic background suppression method to suppress non-vascular static and tissue parenchyma without operator intervention is presented using the temporal information in the time-resolved image volumes. In time-resolved CE-MRA applications which image the entire torso, the algorithm removes the obscuring anterior and posterior chest wall and thus allows full volume Maximum Intensity Pixel (MIP) images to show the general enhancement pattern. The ability to improve contrast and show greater vascular detail in sub volume MIPs is also demonstrated.

ISBN: 9780542754494Subjects--Topical Terms:

1017681
Biophysics, Medical.

Advanced acquisition and reconstruction techniques for accelerated three-dimensional magnetic resonance angiography.
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500 $a Source: Dissertation Abstracts International, Volume: 67-06, Section: B, page: 3314.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2006.
520 $a Sampling the MR Fourier space, known as k-space, is typically performed along a Cartesian raster pattern due to the methods robust behavior in regard to off-resonance spins and certain system errors and instabilities. Rapid scanning by undersampling k-space is not possible in Cartesian sampling due to the presence of coherent aliasing or ghosting patterns. However, radial data acquisition sampling pattern can be accelerated with tolerable incoherent aliasing artifacts while providing high spatial resolution rapidly, especially in high contrast environments. Temporal filtering of this variable density radial sampling strategy can also easily produce time-resolved images indicating dynamic processes such as blood flow patterns or tumor enhancement. An automatic background suppression method to suppress non-vascular static and tissue parenchyma without operator intervention is presented using the temporal information in the time-resolved image volumes. In time-resolved CE-MRA applications which image the entire torso, the algorithm removes the obscuring anterior and posterior chest wall and thus allows full volume Maximum Intensity Pixel (MIP) images to show the general enhancement pattern. The ability to improve contrast and show greater vascular detail in sub volume MIPs is also demonstrated.
520 $a This work has also focused on investigating and developing image reconstruction methodologies that synthesize unacquired data in radial imaging using principles from the field of parallel imaging. In one method, training data was used to synthesize data in a second comprehensive abdominal scan using 3D radial isotropic imaging methods. Improved contrast-to-noise ratios are demonstrated. In a second method, the need for separate imaging to obtain training data and coil sensitivity information is eliminated while providing short reconstruction times with 2D and 3D radial trajectories. Receiver sensitivity information is re-enforced in the image domain and the prohibitively long reconstruction procedure is completed entirely in k-space using a small number of efficient matrix computations. The proposed method provided acceleration factors from 2 to 4 in abdominal imaging with a relatively small number of coils. In CE-MRA, scan times accelerated by a factor of 3 for a 3D radial data set that provided isotropic resolution along all three dimensions to achieve full coverage of the torso.
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