The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Results from the OSIPI–Dynamic Contrast‐Enhanced challenge
Magnetic Resonance in Medicine2023Vol. 91(5), pp. 1803–1821
Citations Over TimeTop 10% of 2023 papers
Eve Shalom, Harrison Kim, Rianne A. van der Heijden, Zaki Ahmed, Reyna Patel, David A. Hormuth, Julie C. DiCarlo, Thomas E. Yankeelov, Nicholas J. Sisco, Richard Dortch, Ashley M. Stokes, Marianna Inglese, Matthew Grech‐Sollars, Nicola Toschi, Prativa Sahoo, Anup Singh, Sanjay Kumar Verma, Divya Rathore, Anum S. Kazerouni, Savannah C. Partridge, Eve LoCastro, Ramesh Paudyal, Ivan A. Wolansky, Amita Shukla‐Dave, Pepijn Schouten, Oliver J. Gurney‐Champion, Radovan Jiřík, Ondřej Macíček, Michal Bartoš, Jiří Vitouš, Ayesha Das, Sungheon Kim, Louisa Bokacheva, Artem Mikheev, Henry Rusinek, Michael Berks, Penny L. Hubbard Cristinacce, Ross A. Little, Susan Cheung, James P.B. O’Connor, Geoff J.M. Parker, Brendan Moloney, Peter S. LaViolette, Samuel Bobholz, Savannah Duenweg, John Virostko, Hendrik Laue, Kyunghyun Sung, Ali Nabavizadeh, Hamidreza Saligheh Rad, Leland Hu, Steven Sourbron, Laura C. Bell, Anahita Fathi Kazerooni
Abstract
This study reports results from the OSIPI-DCE challenge and highlights the high inter-software variability within K trans $$ {K}^{\mathrm{trans}} $$ estimation, providing a framework for ongoing benchmarking against the scores presented. Through this challenge, the participating teams were ranked based on the performance of their software tools in the particular setting of this challenge. In a real-world clinical setting, many of these tools may perform differently with different benchmarking methodology.
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