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A_Morgan Dissertation Final II.pdf (3.42 MB)

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Measuring Radiation Dose in Computed Tomography Using Elliptic Phantom and Free-In-Air, and Evaluating Iterative Metal Artifact Reduction Algorithm

Morgan, Ashraf
http://orcid.org/0000-0001-9808-7594
http://rave.ohiolink.edu/etdc/view?acc_num=csu1472078731

Abstract Details

2016, Doctor of Engineering, Cleveland State University, Washkewicz College of Engineering.
The need for an accurate and reliable way for measuring patient dose in multi-row detector computed tomography (MDCT) has increased significantly. This research was focusing on the possibility of measuring CT dose in air to estimate Computed Tomography Dose Index (CTDI) for routine quality control purposes. New elliptic CTDI phantom that better represent human geometry was manufactured for investigating the effect of the subject shape on measured CTDI. Monte Carlo simulation was utilized in order to determine the dose distribution in comparison to the traditional cylindrical CTDI phantom. This research also investigated the effect of Siemens health care newly developed iMAR (iterative metal artifact reduction) algorithm, arthroplasty phantom was designed and manufactured that purpose. The design of new phantoms was part of the research as they mimic the human geometry more than the existing CTDI phantom. The standard CTDI phantom is a right cylinder that does not adequately represent the geometry of the majority of the patient population. Any dose reduction algorithm that is used during patient scan will not be utilized when scanning the CTDI phantom, so a better-designed phantom will allow the use of dose reduction algorithms when measuring dose, which leads to better dose estimation and/or better understanding of dose delivery. Doses from a standard CTDI phantom and the newly-designed phantoms were compared to doses measured in air. Iterative reconstruction is a promising technique in MDCT dose reduction and artifacts correction. Iterative reconstruction algorithms have been developed to address specific imaging tasks as is the case with Iterative Metal Artifact Reduction or iMAR which was developed by Siemens and is to be in use with the company’s future computed tomography platform. The goal of iMAR is to reduce metal artifact when imaging patients with metal implants and recover CT number of tissues adjacent to the implant. This research evaluated iMAR capability of recovering CT numbers and reducing noise. Also, the use of iMAR should allow using lower tube voltage instead of 140 KVp which is used frequently to image patients with shoulder implants. The evaluations of image quality and dose reduction were carried out using an arthroplasty phantom.
Frank Dong, Ph.D. (Committee Chair)
Nolan Holland, Ph.D. (Committee Member)
Bill Davros, Ph.D. (Committee Member)
Li Xiang, Ph.D. (Committee Member)
Miron Kaufman, Ph.D. (Committee Member)
168 p.
Medical Imaging

Recommended Citations

Citations

  • Morgan, A. (2016). Measuring Radiation Dose in Computed Tomography Using Elliptic Phantom and Free-In-Air, and Evaluating Iterative Metal Artifact Reduction Algorithm [Doctoral dissertation, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1472078731

    APA Style (7th edition)

  • Morgan, Ashraf. Measuring Radiation Dose in Computed Tomography Using Elliptic Phantom and Free-In-Air, and Evaluating Iterative Metal Artifact Reduction Algorithm. 2016. Cleveland State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=csu1472078731.

    MLA Style (8th edition)

  • Morgan, Ashraf. "Measuring Radiation Dose in Computed Tomography Using Elliptic Phantom and Free-In-Air, and Evaluating Iterative Metal Artifact Reduction Algorithm." Doctoral dissertation, Cleveland State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=csu1472078731

    Chicago Manual of Style (17th edition)

csu1472078731
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© 2016, all rights reserved.
This open access ETD is published by Cleveland State University and OhioLINK.