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Enhanced image quality reconstructio...
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University of Virginia.
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Enhanced image quality reconstruction in medical ultrasound imaging.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Enhanced image quality reconstruction in medical ultrasound imaging./
作者:
Huang, Wei.
面頁冊數:
131 p.
附註:
Adviser: Yibin Zheng.
Contained By:
Dissertation Abstracts International68-11B.
標題:
Engineering, Biomedical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3289608
ISBN:
9780549322962
Enhanced image quality reconstruction in medical ultrasound imaging.
Huang, Wei.
Enhanced image quality reconstruction in medical ultrasound imaging.
- 131 p.
Adviser: Yibin Zheng.
Thesis (Ph.D.)--University of Virginia, 2008.
Medical ultrasound is a widely used medical imaging modality for its portable, real-time, low-cost and non-invasive nature. High image quality ultrasound systems have particular significance in clinical use. This dissertation deals with increasing ultrasound's clinical utility by enhancing its image quality.
ISBN: 9780549322962Subjects--Topical Terms:
1017684
Engineering, Biomedical.
Enhanced image quality reconstruction in medical ultrasound imaging.
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Medical ultrasound is a widely used medical imaging modality for its portable, real-time, low-cost and non-invasive nature. High image quality ultrasound systems have particular significance in clinical use. This dissertation deals with increasing ultrasound's clinical utility by enhancing its image quality.
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Much of the recent improvement of ultrasound image quality has resulted from the introduction of digital beamforming. State of the art ultrasound systems use an array of transducers instead of one element to send and receive pulses. Applying independent time delays and weights to the array elements, the focal length and the aperture of the transducer can be changed dynamically, a process termed beamforming. The beamforming designs are critical components in the development of ultrasound imaging systems. The goal of the design is to have a narrow and uniform beam with low sidelobes. Conventional beamforming designs are intuitive and easy to implement, however spatial resolution and contrast are not optimized. In this dissertation, we propose a novel technique that optimizes the reconstruction kernels to approximate an ideal impulse, while also controlling the mainlobe/sidelobe tradeoff. Numerical simulations have demonstrated that the new method achieves significantly larger depth-of-field and better spatial and contrast resolution than simple delay-and-sum beamformers for broadband ultrasound imaging.
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The second part of the dissertation deals with developing iterative reconstruction algorithm in medical ultrasound image reconstruction. The ultrasound imaging process can be regarded as a large system of equations, while image reconstruction can be viewed as solving the equations. Directly solving the equations is impossible due to the large number of equations. Iterative reconstruction algorithms have the advantages of being able to handle arbitrary geometries, reconstruct from incomplete data, and incorporate stochastic image and noise models. In this part, we develop iterative algorithm suitable for the B-mode ultrasound geometry. Reconstruction of synthetic phantom data demonstrated much better contrast resolution than conventional beamforming method.
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http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3289608
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