How do we get from a patient laying on the table to data points in K-space to a usable image that may be interpretable by a Radiologist without losing our minds trying to understand the higher-level mathematics presented in a unique way? This session will cover the basics of image acquisition, gradients, k-space to Fourier transform. There is a current gap in the knowledge and understanding of how Fourier transform works because many current and future MRI technologists have not had the higher level of mathematics to understand the equation. We will then explore the history or the “Fourier equation,” how it interprets the data from k-space, and translates into a usable image. We will do this in a way that allows us to keep our sanity understanding the basics of the higher level of math involved. By the end of the session participants will leave with an understanding of how Fourier converts the sinusoids into a usable image by isolating the underlying frequency components.