Date of Graduation
Master of Science in Electrical Engineering (MSEE)
Second Committee Member
Breast cancer, Medical Imaging, Morphing, Terahertz
This thesis proposes the use of a mesh morphing algorithm for the quantitative evaluation of terahertz (THz) images. This work differs from traditional evaluation methods based on qualitative evaluation because it provides a fair and quantitative measurement of the THz imaging system's performance. The objective of the algorithm is to match the alignment, shape, and resolution of the THz and reference pathology images. Therefore, the proposed morphing method provides a pathology reference for a pixel-by-pixel evaluation of the region classification in the THz image. To achieve this, the morphing algorithm aligns the images using the Pearson's correlation coefficient and reshapes the pathology results using mesh morphing and homography estimation. The results presented in this thesis demonstrate the potential of the algorithm as an evaluation method of THz imaging for breast cancer detection in both fresh and formalin-fixed, paraffin-embedded (FFPE) murine tumors.
Chavez Esparza, T. A. (2018). Evaluation of Terahertz Imaging for Breast Cancer Detection using Image Morphing. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/2765