To compare quantification pipelines for DSC/DCE-MRI in clinical cancer imaging applications. Through these challenges, the performance of DSC-/DCE-MRI perfusion analysis tools developed in-house by the participating groups or the available software packages will be tested and evaluated according to some metrics (eg. bias and precision on DROs, agreement with reference methods in-vivo, reproducibility on in-vivo data, processing time, etc). The contestants are encouraged to use the software tools listed in OSIPI in creating their pipelines. The aim of this task force is to establish a set of benchmarks for perfusion imaging in different applications.
Lead
Anahita Fathi Kazerooni
University of Pennsylvania
anahitaf@upenn.edu
Co-lead
Harrison Kim
The University of Alabama at Birmingham
hyunkikim@uabmc.edu
Steven Sourbron
University of Sheffield
Laura Bell
Genentech, Inc.
Eve Shalom
University of Leeds, UK
Rianne van der Heijden
Erasmus Universiteit Rotterdam
Zaki Ahmed
Mayo Clinic, AZ
Leland Hu
Mayo Clinic
Hamidreza Saligheh Rad
Tehran University of Medical Sciences, Iran
Reyna Patel
Northwestern University, IL
OSIPI QCP-MRI Challenge: