UC Irvine

Breast cancer is a significant concern within the United States, causing over 200,000 new cases and 40,000 deaths each year. A new potential solution in the form of the spectral phasor approach to data analysis, paired with the noninvasive imaging approach of DOSI, presents itself as a safe, robust, and cost-effective, answering some of the concerns presented by current imaging techniques. By performing a Fourier transform to translate a stack of absorption coefficients at varying wavelengths to a single value or cluster of points on a spectral phasor plot, we are able to visualize the data in a clearly displayed format. In this paper, we explore the spectral phasor approach to analyze data gathered from both a single point on a patient, and multiple points in a grid on a patient as means to a diagnosis. Despite the potential that exists in the solution that this approach presents for quick and simple diagnosis, significantly more data is required to determine the reliability and reproducibility of this method.