Biomedical Image Analysis: An Introduction

Level: Introductory Length: 4 hours Format: In-Person Lecture Intended Audience: Scientists, engineers, technicians, or research students who wish to learn the fundamentals of biomedical image analysis methods. Some prior knowledge in optical imaging is recommended. Description: Our community generates a vast amount of biomedical imaging data, ranging from super-resolution microscopy images on the nanometre scale, to diffuse optical tomography images on the millimetre scale. These data are increasingly complex, requiring quantitative analysis to extract imaging biomarkers, rather than simply visual interpretation. This course explains basic principles and applications of analysis techniques for biomedical imaging data, using several hands-on practical examples based on Fiji (ImageJ). We will begin by examining the general principles of evaluating image quality and information content, by introducing important concepts such as contrast and modulation transfer. We will then consider how to process images containing noise or artifacts, for example, with the application of simple filters. Finally, we will discuss how best to identify appropriate regions of interest and measure a range of parameters from these that allow us to perform quantitative image analysis, considering precision and accuracy of our data. Anyone who wants to better understand their imaging data and develop skills in applying image processing software will benefit from taking this course. Learning Outcomes: This course will enable you to: - explain the most common methods for forming biomedical images; - define the most important image quality metrics encountered in biomedical imaging analysis and explain how to apply them; - make calculations directly on image data to compensate for noise and artifacts, for example, applying filters; - operate in the spatial frequency domain; - compute image quality metrics and explore data precision and accuracy; - formulate a strategy for performing image analysis on your own data. Instructor(s): Sarah Elizabeth Bohndiek has worked in biomedical imaging for over 15 years, using modalities across the electromagnetic spectrum ranging from X-ray imaging to magnetic resonance imaging, and many in between. She received her PhD in Radiation Physics from University College London, UK, in 2008 and is currently Reader in Biomedical Physics at the University of Cambridge, UK. Specializing in biomedical optics, her team develop and apply new imaging methods to the study of cancer. Event: SPIE Photonics West 2020 Course Held: 03 February 2020