Kyrre E Emblem1
1Oslo University Hospital, Norway
Synopsis
Keywords: Image acquisition: Image processing, Transferable skills: Reproducible research, Image acquisition: Visualization
Making
good use of MRI data from a clinical study can be a challenge, especially when faced
with the task of analyzing data from advanced imaging techniques in small
patient cohorts. This talk will address some of the current challenges with
image analyses in a clinical setting. Using neuroimaging and cancer as examples,
the talk will discuss potential strategies to help produce and evaluate robust,
repeatable, and clinically meaningful image parameters in patient studies with the
typical low sample size. Different approaches for assessing and analyzing resulting
parametric maps will be presented, including use of dynamic and longitudinal
imaging data.
Summary
This talk
will shed light on some of the most common challenges, as well as relevant
strategies, for quantification and readout of region-of-interest (ROI) image analyses.
Making good use of MRI data from a clinical study can be a challenge,
especially when faced with the task of analyzing data from advanced imaging
techniques in small patient cohorts. Using neuroimaging and cancer as examples,
the first part of this talk will focus on traditional approaches for analyzing region-based
imaging data, and the need to choose your analysis tools wisely to help answer clinically
meaningful research questions. Second, this lecture will discuss use of dynamic
and longitudinal image acquisitions to help get the most out of your study. Here,
a critical and somewhat underestimated source of error is the importance of
image coregistration of conventional, anatomical MRIs with multiparametric maps.
Finally, the talk will summarize strategies to design an imaging study that allows
for good quality data and robust image interpretations even with small sample
sizes. This also includes making certain compromises for standardized image
acquisition protocols and post-processing approaches, while best trying to
target the object or disease of interest.Acknowledgements
No acknowledgement found.References
No reference found.