BIM 241

Introduction to Magnetic Resonance Imaging

syllabus | textbook 

What makes magnetic resonance imaging (MRI) such a flexible and powerful medical imaging tool? What contrasts can MRI measure non-invasively in the human body, and how can this be done efficiently?

This course describes the basic hardware, acquisition, and reconstruction of MRI. Students gain a foundation in MRI physics and learn how these concepts impact image properties. Class project uses advanced MRI approaches in MATLAB to understand and optimize image design parameters.

By the end of the course, students will be able to:

1. Describe the basic hardware, acquisition, and reconstruction concepts of magnetic resonance imaging (MRI).
2. Employ fundamental concepts of MRI physics to characterize and make predictions about image properties.
3. Implement an advanced MRI acquisition or reconstruction approach in MATLAB to demonstrate the effect of optimizing design parameters.

BIM 248

Multi-modal Neuroimaging Techniques

syllabus

This course describes neuroimaging techniques including magnetic resonance imaging (MRI) and positron emission tomography (PET) and their multi-modal applications in neuroscience and neurological disorders. Students gain hands-on experience with imaging methods and brain biomarkers in project-oriented modules.

By the end of the course, students will be able to:

1. Describe advanced MRI and PET neuroimaging methods and their derived biomarkers.
2. Critically read primary literature about imaging techniques and neuroscience applications.
3. Use neuroimaging software to analyze brain images and make neuroscience interpretations.

EEC 289L

Introduction to Neuroengineering

Guest Lecture: Monitoring and modulating brain activity via electrical and magnetic means