Update October 2023– The next workshop will begin in February 2024. More information will be available soon.
GE MR Programming Workshop (EPIC and Orchestra)
Concepts to be Presented
- Introduction to basic GE EPIC software design
- EPIC pulse sequence development tools
- How to modify pulse sequences
- Steps needed to run a research pulse sequence
- Image reconstruction using GE Orchestra SDK (MATLAB and C++)
- Introduction to data structures used in Orchestra
- Setting up a local EPIC and Orchestra environment
Audience and Prerequisites
This workshop is designed for beginners learning how to use the pulse sequence and reconstruction tools available for researchers on the GE HealthCare MR platforms. However, a solid understanding of the following concepts is expected:
- Magnetic resonance imaging physics
- Unix/Linux Operating System
- C/C++, MATLAB, and Python programming
- Basic operation of a GE MR scanner
- Basic understanding of RF electronics
The workshop will be conducted fully online. Participants will learn GE EPIC pulse sequence design and Orchestra image reconstruction tools through a mixture of pre-recorded lectures, interactive discussion sessions, and self-guided programming exercises. Attendees should expect to spend at least 2-3 hours per week on the course.
To be eligible for the Workshop, your institution must have an active EPIC License agreement with GE HealthCare. If your institution does not have an EPIC License agreement, please contact the course organizers before registering. For University of Wisconsin personnel, please contact the course organizers directly for confirmation before registering.
Registration fee: $295
Course dates: Coming soon (self-paced online instruction only)
Link to registration site: Registration will be available soon.
Ty Cashen, MD, PhD, is a GE scientist on the body/vascular applications team and has been with GE since 2009. Dr. Cashen is also an honorary fellow based at the University of Wisconsin-Madison. He is currently working on motion-robust, dynamic, and accelerated MR imaging.
Sam Hurley, PhD, is a scientist in the Department of Radiology and has been with the University of Wisconsin since 2016. He is also an honorary fellow at the University of Oxford. Dr. Hurley’s work focuses on neuroimaging, including modeling of simultaneously acquired functional and molecular PET/MR data.
Alan McMillan, PhD, is a faculty member in the Department of Radiology and has been with the University of Wisconsin since 2012. Dr. McMillan is currently working on deep learning applications for MRI and PET imaging.
Kang Wang, PhD, is an applications engineer and has been with GE since 2011.