A pseudo-spectral approach to the forward problem of 2D ultrasound computer tomography
- Cairnie, Mark A.
- [University Park, Pennsylvania] : Pennsylvania State University, 2019.
- Physical Description:
- 1 electronic document
- Additional Creators:
- Almekkawy, Mohamed and Schreyer Honors College
- Restrictions on Access:
- Open Access.
- While medical imaging technologies such as X-Ray and MRI have seen wide spread use, theyare not without significant shortcomings. To meet the evolving needs of medical professionals andsatisfy the shortcomings in these technologies, there has been a recent surge the pursuit of realizable ultrasound computer tomography (USCT) imaging systems. USCT offers comparable imagequality, with reduced overall cost and simple design that aids medical professionals, specificallyin the area of breast cancer screening. Studies from Karmanos Cancer Institute have shown theability of USCT to resolve cancerous tissue by recording sound-speed, acoustic attenuation, andacoustic reflectivity data from the imaging medium.The largest constraint on a realizable USCT is the image reconstruction problem due to itsimmense computational load. The inherent ill-posedness of the problem, in conjunction with itsnon-convex nature, requires the problem to be solved iteratively with both a forward and an inverse solver. The computational complexity of the problem is the focus of the majority of currentresearch; however, the cost of data collection has severely limited this progress. While severalresearch groups have managed to construct full-scale operational prototypes of a USCT system,access to the data is limited.As a result, the purpose of this thesis is to develop a forward model that can be used to simulatedata in place of a full scale prototype. The forward solver can be used for data generation and as acomponent of the image reconstruction algorithm. The solver is built in MATLAB and, as a result,is both compact and portable. A pseudo-spectral method is used to implement the solver becauseit is more computationally efficient then more typical finite element and finite difference methodsand can therefore be run on standard desktop hardware.
- Other Subject(s):
- Dissertation Note:
- B.S. Pennsylvania State University 2019.
- Technical Details:
- The full text of the dissertation is available as an Adobe Acrobat .pdf file ; Adobe Acrobat Reader required to view the file.
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