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Imaging of Blood Vessels: Parameter Estimation in MRI and Cryo-Imaging Techniques
Stone, Meredith Elise

2008, Master of Sciences (Engineering), Case Western Reserve University, Biomedical Engineering.
Atherosclerotic vulnerable plaque imaging is an important clinical goal. Cryo-imaging can validate vessel tissue classification. A validation study showed overall sensitivity of 89% using naïve raters. However, cryo-imaging cannot be clinically translated. Instead, MRI microcoil imaging shows promise. An important component of MR tissue identification is parameter estimation of T1, T2, and proton density. A new parameter estimation method based on Maximum Likelihood Estimation accounting for Rician noise bias with Markov Random Field spatial regularization was developed. A flat image test case shows decreased noise levels comparable to neighborhood averaging. For the lowest signal-to-noise ratio test case, neighborhood averaging decreased the standard deviation of the error to 34% of the single-pixel techniques, while the new method decreased it 37-43%. Tests using simulated phantom image also show well-preserved edges, which is not possible with neighborhood averaging. Finally, the algorithm was tested on brain data to fit T2*, showing visually positive results.
David Wilson (Advisor)
Mark Pagel (Committee Member)
Jeff Duerk (Committee Member)
61 p.

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Stone, M. (2008). Imaging of Blood Vessels: Parameter Estimation in MRI and Cryo-Imaging Techniques. (Electronic Thesis or Dissertation). Retrieved from https://etd.ohiolink.edu/

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Stone, Meredith. "Imaging of Blood Vessels: Parameter Estimation in MRI and Cryo-Imaging Techniques." Electronic Thesis or Dissertation. Case Western Reserve University, 2008. OhioLINK Electronic Theses and Dissertations Center. 23 Oct 2017.

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Stone, Meredith "Imaging of Blood Vessels: Parameter Estimation in MRI and Cryo-Imaging Techniques." Electronic Thesis or Dissertation. Case Western Reserve University, 2008. https://etd.ohiolink.edu/

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