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Abstract #1094

The Open Source Initiative for Perfusion Imaging (OSIPI): DCE-MRI Challenge

Anahita Fathi Kazerooni1, Laura C. Bell2, Floris Van den Abeele3, Ruben Verhack3, Xinze Zhou4, Salman Rezaei5, Zaki Ahmed6, Rianne Van Der Heijden7, Seyed Ali Nabavizadeh4, Leland S. Hu8, Hamidreza Saligheh Rad5, and Steven Sourbron9
1Department of Radiology, UPenn, Philadelphia, PA, United States, 2Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, PA, United States,, Gent, Belgium, 4University of Pennsylvania, Philadelphia, PA, United States, 5Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 6Mayo Clinic, Rochester, MN, United States, 7Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands, 8Neuroradiology Division, Department of Radiology, Mayo Clinic, Phoenix, AZ, United States, 9University of Sheffield, Sheffield, United Kingdom

Dynamic contrast enhanced (DCE-) MRI is widely acquired as a part of neuroimaging protocol for evaluation of glioblastoma tumors before the start of therapy or monitoring and assessment of treatment response in longitudinal scans. Nonetheless, lack of a standardized quantification method has limited its application in clinical settings, multi-institutional studies and clinical trials. These challenges have motivated efforts to validate DCE-MRI using benchmark biomedical image analysis methods. The Open-Source Initiative for Perfusion Imaging (OSIPI) has designed the OSIPI-DCE challenge to evaluate and compare DCE tools in terms of accuracy, repeatability, and reproducibility of Ktrans estimation in the brain.

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