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Perception and processing of x-ray f...

Jiang, Yuhao.

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Perception and processing of x-ray fluoroscopic images and MRI.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Perception and processing of x-ray fluoroscopic images and MRI./
Author:	Jiang, Yuhao.
Description:	158 p.
Notes:	Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2689.
Contained By:	Dissertation Abstracts International67-05B.
Subject:	Engineering, Biomedical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3218685
ISBN:	9780542703201

Perception and processing of x-ray fluoroscopic images and MRI.
Jiang, Yuhao.

Perception and processing of x-ray fluoroscopic images and MRI. - 158 p.

Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2689.

Thesis (Ph.D.)--Case Western Reserve University, 2006.

In this study, quantitative image quality techniques were applied to analyze and optimize X-ray fluoroscopy and fast MR imaging. X-ray fluoroscopy is used in a multitude of important diagnostic and therapeutic procedures. As a result, X-ray fluoroscopy accounts for nearly half of the U.S. population X-ray dose from radiological procedures. Since X-ray fluoroscopy is quantum limited, simply reducing X-ray exposure reduces the image signal-to-noise ratio and leads to unacceptable image quality. While the physical factors that affect object contrast and image noise in X-ray fluoroscopic imaging are well understood, it is less so with the perceptual characteristics. To enable even more complex procedures, it is imperative to lower X-ray dose while maintaining or improving image quality. The focus of this research is to minimize X-ray dose by optimizing the acquisition and processing of X-ray fluoroscopy images acquired on new flat panel detectors. Although the physics and engineering of flat panels are known, relatively little is known about how to optimize them for visualization in their most demanding application---X-ray fluoroscopy. Quantitative image quality techniques were used to perceptually optimize flat panel pixel size and scintillator thickness of new flat panel detector. They included experimental and modeling techniques like forced choice experiments and a computational human observer model. Human performance in meaningful clinical related tasks such as guide wire advancement and stent deployment were evaluated. In addition to the optimization of physical parameters of flat panel detector, developing a quantitative approach of detection study in fast MR images was part of the research. A number of fast MRI techniques have been proposed to optimize imaging speed while maintaining reasonable image quality. It is important to develop a rational approach to measure image quality of these fast MRI techniques. We used detection study since it is a desirable task based measure of image quality. Two different human observer models were used to predict human performance. Findings from this study would help the design of flat panel detector and display optimization of X-ray fluoroscopy and MR images.

ISBN: 9780542703201Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Perception and processing of x-ray fluoroscopic images and MRI.
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502 $a Thesis (Ph.D.)--Case Western Reserve University, 2006.
520 $a In this study, quantitative image quality techniques were applied to analyze and optimize X-ray fluoroscopy and fast MR imaging. X-ray fluoroscopy is used in a multitude of important diagnostic and therapeutic procedures. As a result, X-ray fluoroscopy accounts for nearly half of the U.S. population X-ray dose from radiological procedures. Since X-ray fluoroscopy is quantum limited, simply reducing X-ray exposure reduces the image signal-to-noise ratio and leads to unacceptable image quality. While the physical factors that affect object contrast and image noise in X-ray fluoroscopic imaging are well understood, it is less so with the perceptual characteristics. To enable even more complex procedures, it is imperative to lower X-ray dose while maintaining or improving image quality. The focus of this research is to minimize X-ray dose by optimizing the acquisition and processing of X-ray fluoroscopy images acquired on new flat panel detectors. Although the physics and engineering of flat panels are known, relatively little is known about how to optimize them for visualization in their most demanding application---X-ray fluoroscopy. Quantitative image quality techniques were used to perceptually optimize flat panel pixel size and scintillator thickness of new flat panel detector. They included experimental and modeling techniques like forced choice experiments and a computational human observer model. Human performance in meaningful clinical related tasks such as guide wire advancement and stent deployment were evaluated. In addition to the optimization of physical parameters of flat panel detector, developing a quantitative approach of detection study in fast MR images was part of the research. A number of fast MRI techniques have been proposed to optimize imaging speed while maintaining reasonable image quality. It is important to develop a rational approach to measure image quality of these fast MRI techniques. We used detection study since it is a desirable task based measure of image quality. Two different human observer models were used to predict human performance. Findings from this study would help the design of flat panel detector and display optimization of X-ray fluoroscopy and MR images.
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