Digital Transformation of Medical Imaging

Course	T-845-DTMI
Semester	1
ETCS	6
Core	No

Year	1. year
Semester	Spring 2024
Level of course	6. Second cycle, advanced
Type of course	Elective
Prerequisites	No prerequisites.
Schedule	No schedule found.
Lecturer	Marco Recenti
Content
Medical imaging refers to the process of imaging internal anatomies using various techniques and physical principles. The acquired medical images are now digitalized, regardless of the acquisition physics, and stored and shared in a standardized format known as DICOM. This digitalization opens up new possibilities for the advancement of diagnostics and the understanding of physiological conditions. This 3-week course focuses on Medical Imaging data, particularly Computer Tomography (CT) and Magnetic Resonance Imaging (MRI). The main objectives of the course are Image Segmentation, 3D model rendering, the use of Virtual Reality and 3D printing for surgical planning, Virtual Histology, Medical image feature extraction, and the application of Artificial Intelligence in medical image data. The course will have a strong hands-on approach, with project-based learning on the topics listed.
Learning outcome - Objectives
By the end of the "Digital Transformation of Medical Imaging" course, students will have a solid understanding of medical image data and will be able to work with single pixels to 3D models of anatomy. Specifically, students will learn to use software platforms for segmentation, anatomical analysis, and the design of medical images (such as MIMICS software). Additionally, students will be capable of handling medical images, creating 3D models of anatomical regions, and using advanced segmentation tools to isolate and visualize bones, muscles, and organs. The course will also provide a good understanding and knowledge of 3D printing in healthcare, including data preparation, basics of digital anatomy printing, and applications in surgery. Students will gain insight into virtual reality and augmented reality in a clinical setting, as well as an understanding of pixel value in medical images, including the applications of virtual histology and radiomics.
Course assessment
Group projects
Reading material
No reading material found.
Teaching and learning activities
Lectures, training and hands-on experience, group projects
Language of instruction	English