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Abstract #5060

Dynamic susceptibility contrast MRI phantom for validation of clinical perfusion imaging

Slavka Carnicka1, Katy E Keenan 1, Stephen E Russek1, Nikki Rentz2, Karl F Stupic3, Brandon Hancock4, John E Kirsch5, Matthias JP van Osch 6, Bradley J Erickson7, Yunhong Shu7, Chad Quarles8, Ashley Stokes8, Yuxiang Zhou9, Edward F Jackson10, Alex Antolak10, Vicky HJ Liao11, Alexander P Lin 11, Elizabeth Mirowski12, Michael Boss3, Nancy Obuchowski13, and Ona Wu4

11. National institute for standards and technology, Boulder, CO, United States, 2 National institute for standards and technology, Boulder, CO, United States, 3National institute for standards and technology, Boulder, CO, United States, 4Athinoula A Martinos Center for Biomedical Imaging, MGH, Charlestown, MD, United States, 5Dept. of Radiology, Massachusetts General Hospital, Massachusetts, MD, United States, 6Leiden University Medical Center, Leiden, Netherlands, 7Mayo Clinic, Rochester, MN, United States, 8Barrows Neurological Institute, Phoenix, AZ, United States, 9Mayo Clinic, Scottsdale, AZ, United States, 10Wisconsin Institutes for Medical Research, Madison, WI, United States, 11Brigham & Women's Hospital, Boston, MD, United States, 12CEO at Verellium, Inc, Boulder, CO, United States, 13Cleveland Clinic, Cleveland, OH, United States

Dynamic susceptibility contrast MR imaging (DSC MRI) is a very promising quantitative imaging technique used increasingly as both a diagnostic and research tool. This technique quantifies susceptibility-induced (R2*) signal loss to assess tissue perfusion (blood supply) and viability. Development of reference phantoms is crucial to determine the in vitro accuracy, test‐retest repeatability, and inter-platform reproducibility of ∆R2* quantification protocols. Hence, we developed a static DSC phantom suitable for simple and reliable evaluation of acquisition methods to assess susceptibility changes across multiple scanners and time. We also finalized acquisition protocols and developed software to analyze the DSC phantom data.

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