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Impact of physical measures of image...

Saunders, Robert Samuel, Jr.

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Impact of physical measures of image quality on diagnosis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Impact of physical measures of image quality on diagnosis./
作者:	Saunders, Robert Samuel, Jr.
面頁冊數:	301 p.
附註:	Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2425.
Contained By:	Dissertation Abstracts International68-04B.
標題:	Nuclear physics and radiation. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3260254
ISBN:	9781109980165

Impact of physical measures of image quality on diagnosis.
Saunders, Robert Samuel, Jr.

Impact of physical measures of image quality on diagnosis. - 301 p.

Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2425.

Thesis (Ph.D.)--Duke University, 2006.

Physical processes determine the information content of medical images. The purpose of this work was to explore the physical processes behind medical imaging and to substantiate the link between these processes and the utility of medical images for diagnosis. By accomplishing this, researchers can better understand how to design medical imaging systems for optimum clinical use.

ISBN: 9781109980165Subjects--Topical Terms:

3173793
Nuclear physics and radiation.

Impact of physical measures of image quality on diagnosis.
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245 1 0 $a Impact of physical measures of image quality on diagnosis.
300 $a 301 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2425.
500 $a Adviser: Ehsan Samei.
502 $a Thesis (Ph.D.)--Duke University, 2006.
520 $a Physical processes determine the information content of medical images. The purpose of this work was to explore the physical processes behind medical imaging and to substantiate the link between these processes and the utility of medical images for diagnosis. By accomplishing this, researchers can better understand how to design medical imaging systems for optimum clinical use.
520 $a The first phase of this research created tools to assess the physical performance of x-ray detectors and digital displays. These assessment tools were then applied to characterize a prototype x-ray detector and multiple digital medical displays. The prototype x-ray detector exhibited good resolution and signal to noise performance, but showed notable exposure dependencies and structured noise. The display characterization showed liquid crystal displays (LCD) offered high resolution and high levels of structured noise, while cathode ray tube (CRT) devices exhibited lower resolution with lower levels of noise.
520 $a The assessment results were used to create simulation routines that modified the resolution and noise of images to accurately emulate the properties of arbitrary detectors and displays. A simulation routine was also created to model the x-ray scattering processes in x-ray imaging using Monte Carlo techniques. The Monte Carlo model demonstrated that scatter lowers image contrast, leads to a loss of high-frequency information, and causes considerable low-frequency noise.
520 $a The next phase analyzed how images formed under different physical processes affect clinical diagnosis. This phase created a tool that accurately simulated the radiographic appearance of breast masses and microcalcifications. This lesion simulation tool and an established lung nodule simulation tool were used to evaluate lesion detection by experienced radiologists. The results of this rating show that most chest imaging detectors have similar performance in detecting lung nodules (p > 0.1 for 2 mm and 3.5 mm nodules, p < 0.005 for 2.75 mm nodules) while most digital displays allow for similar overall classification accuracy in detecting breast cancer (LCD: 0.83 +/- 0.01, CRT: 0.82 +/- 0.01). This reflects the maturity of these forms of imaging and suggests future work should explore means to remove the anatomical noise that serves as the primary limiting factor in cancer detection.
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