This workshop is the 4th in a series of Sedona
workshops (previously held 2007, 2009, and 2013), and updated to
reflect new trends in MRI, but keeping many of the successful
elements of the previous workshops.
This workshop will continue to explore the practical boundaries of
new and unconventional methods for collecting data (pulse
sequences), and for reconstructing images from that data. This will
include constrained reconstruction such as compressed sensing and
Fingerprinting, as well as Non-Cartesian methodologies and parallel
imaging. The workshop will explore the challenges to these methods,
how to measure and characterize them, and methods (both available
and necessary to develop) to overcome them.
In addition to invited scientific presentations, the program will
include proffered papers, poster presentations, and a “recon
challenge” in which registrants are given severe constraints under
which to collect and reconstruct images, which will be reviewed by a
panel of radiologists.
There will be a slightly more clinical theme this year than in past
Sedona workshops, mostly expressed in the first day and the last
session, on how we, as a more technical side of our field, can look
to make sure that what we accomplish has clinical relevance. While
there will be plenty of room for technical, "non-clinical"
discussions, we will periodically take the discussion back to how
this work can help promote and best utilize MRI in the global
healthcare regime of the future.
This workshop is designed for researchers and
clinicians interested in the latest methods and pulse sequences for
acquiring MR data and reconstructing images. This fairly technical
workshop will also appeal to those interested in tying the advances
in fast and novel imaging methods to real advances in clinical
diagnoses and care, as well as to decreasing the cost of clinical MR
exams. There will be a real intent to create dialogue between the
designers of cutting edge technology and those in clinical practice.
- Those attending this workshop will learn
about advanced data collection methods (e.g. spiral MRI),
reconstruction methods (e.g. fingerprinting and constrained
reconstruction), and quantitative methods;
- They will understand how advances in
scanner hardware, reconstruction methodology, software
infrastructure, and metrics for image quality impact the
development of these methods;
- Most importantly, they will gain insight
about how fast imaging can improve healthcare and healthcare
economics, and the pitfalls of moving methodology from research
to the clinic.