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  5. Quantitative Techniques for PET/CT: A Clinical Assessment of the Impact of PSF and TOF
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Quantitative Techniques for PET/CT: A Clinical Assessment of the Impact of PSF and TOF

Date Issued
May 1, 2013
Author(s)
Schaefferkoetter, Joshua Donald
Advisor(s)
Mike W. Guidry
Additional Advisor(s)
Hanno Weitering
David Townsend
Jonathan Wall
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/22732
Abstract

Tomographic reconstruction has been a challenge for many imaging applications, and it is particularly problematic for count-limited modalities such as Positron Emission Tomography (PET). Recent advances in PET, including the incorporation of time-of-flight (TOF) information and modeling the variation of the point response across the imaging field (PSF), have resulted in significant improvements in image quality. While the effects of these techniques have been characterized with simulations and mathematical modeling, there has been relatively little work investigating the potential impact of such methods in the clinical setting. The objective of this work is to quantify these techniques in the context of realistic lesion detection and localization tasks for a medical environment. Mathematical observers are used to first identify optimal reconstruction parameters and then later to evaluate the performance of the reconstructions. The effect on the reconstruction algorithms is then evaluated for various patient sizes and imaging conditions. The findings for the mathematical observers are compared to, and validated by, the performance of three experienced nuclear medicine physicians completing the same task.

Subjects

positron emission tom...

time-of-flight

point spread function...

lesion detection

observers

Disciplines
Other Physics
Degree
Doctor of Philosophy
Major
Physics
Embargo Date
January 1, 2011
File(s)
Thumbnail Image
Name

ThesisDraft.docx

Size

2.7 MB

Format

Microsoft Word XML

Checksum (MD5)

c1cb59b3589509768b3b3d0de5b16b9e

Thumbnail Image
Name

dissertation_JS.pdf

Size

2.53 MB

Format

Adobe PDF

Checksum (MD5)

1eff9e462674ab43162390d9c1cfbed9


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