RAD 7777

From Medical Imaging to 3D Printing & Virtual Reality

Contact

Blake Cicenas
Course Coordinator
cicen001@umn.edu

Campus
Clinical Level
Requirement
MS Year
Hands-On
Terms Offered
Credits
Prerequisites

RAD 7101 (effective Summer 2024)

Details

Catalog Description: 

An introduction to utilizing medical imaging data for 3D printing and virtual reality as applied to healthcare.

Syllabus

Note: Contact the Course Coordinator for any syllabi for previous years. 

Sites:  

View site addresses by clicking on the site name below or visiting the site codes table.

Site Code

Site Name

Notes

UM-1005 Mayo Memorial Building  

Typical weekly schedule/Delivery Mode:   

An orientation will be required on the first day of the rotation. The time of the orientation will be planned with the student on a case by case basis between the clerkship director and the student(s). Additionally, weekly online meetings will occur with the time of those meetings planned with the student on a case by case basis with the clerkship Director. At these meetings the Clerkship Director will discuss their progress on the 3-D projects.

Direct patient care: No

Consent Requirement: Arranged. Please contact the course coordinator via email for permission to schedule.

Course Objectives: 

By the end of the course, students will be able to describe the fundamentals of using medical imaging to create digital 3D models that can then be used for 3D printing and/or Virtual Reality. Students will learn the skills to interpret, manipulate, and import medical imaging data into segmentation software to create digital 3D models with anatomical accuracy. There will be opportunities to learn 3D printing skills and other 3D visualization software for healthcare applications.

Graded Components: 

The students will be given approximately 3 to 4 projects in the course. These projects are based off actual cases, so the number could vary in size and scope. Projects will demonstrate a working knowledge of interpretation and manipulation of imported medical imaging data in segmentation software by successful creation of digital models for visualization and 3D printing.

Grading Scale:  P/N

Allow repetition of course: Allow up to 2 repetition(s) totalling up to 8.0 credit(s). (Allow multiple enrollments in a single term.)

Course equivalency:  Does not apply