Date of Graduation

5-2018

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering (MSEE)

Degree Level

Graduate

Department

Electrical Engineering

Advisor/Mentor

Jingxian Wu

Committee Member

Magda El-Shenawee

Second Committee Member

Narasimhan Rajaram

Keywords

Breast cancer, Medical Imaging, Morphing, Terahertz

Abstract

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.

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