Biomedical Signal and Image Processing module (BE31001)

The aim of this course is to provide students with an understanding of the computational and mathematical methods used in biomedical signal and image processing. The course gives the students a fundamental education in the theory, skills and understanding of many of the classical methods used to enhance and extract useful information from medical signals and images. This will provide students with an opportunity to practice working in a team and communication with other students. Several advanced methods for image and signal processing will also be covered to broaden students’ knowledge.

Core contents includes: Fourier transform, Fourier spectra analysis, convolution, digital filter design, wavelet transform and filter, EMD filter, image histograms, image thresholding, segmentation, morphological image processing, image filtering as well as the modern theory and applications of image filtering and 3D reconstruction.

A variety of clinical data, i.e. clinical EEG/ECG signal and radiological diagnostic scenarios and applications are also included in this course as examples in laboratory sessions to motivate the methods. Students interested in medical signal and image processing, as well as health and medicine, will find this course useful.