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, ³Hyperfusion.ai, 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 K^trans estimation in the brain.

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