Introduction to medical imaging

• define the basic physical principles underlying medical diagnostic ultrasound and describe the techniques used for recording images.
• identify the fundamental aspects of MRI and explain their significance in medical imaging.
• recognize the physical principles governing planar X-ray imaging and its relevance in clinical diagnosis.
• describe the physical principles underlying CT imaging and its reconstruction process.
• explain the basic physical principles behind PET or SPECT imaging technologies.
• interpret and explain metric 3D datasets, preferably using Python programming language.
• compare and contrast the strengths and limitations of different imaging modalities based on their physical principles.
• apply the basic physical principles of medical imaging modalities to solve problems and analyze data.
• integrate knowledge of physical principles and imaging techniques to plan and conduct project work in teams.
• synthesize information and write a comprehensive report that meets the requirements for scientific communication in the field of medical imaging.

Welcome to Introduction to Medical Imaging, where we delve into the fascinating world of visualizing the structure and function of organs within the human body. This course explores a variety of imaging methods crucial for medical diagnosis, including ultrasound, x-ray (both shadow images and tomographic images like CT scans), magnetic resonance imaging (MRI), as well as positron emission tomography (PET) or single photon emission computer tomography (SPECT).

Understanding the physical principles behind these imaging modalities is paramount, as they form the foundation for accurate interpretation and analysis of medical images. Your primary project revolves around a compelling challenge: determining the type of biological tissue within an unknown phantom using these imaging modalities.

Throughout the course, you’ll engage in collaborative learning within small groups, tackling problems related to the interpretation and analysis of medical images. In your groups you will investigate your individual phantoms. This involves acquiring images using different imaging modalities and applying the tools and techniques you’ve learned to analyze and interpret these images effectively.

22476, Physiology and anatomy. Good knowledge of Python is essential. It is an advantage to have completed course 22476.

Interactive lectures, practical exercises at DTU and hospitals, computer exercises, project work. The course requires the participants to be experienced in Python.

Maximum: 60.

Please be aware that this course has a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.