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Abstract #2404

PyGRASP: A standalone python image reconstruction library for DCE-MRI acquired with radial sampling

Cemre Ariyurek1, Aziz Koçanaoğulları1, Can Taylan Sari1, Serge Vasylechko1, Onur Afacan1, and Sila Kurugol1
1Quantitative Intelligent Imaging Lab (QUIN), Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States

Synopsis

Keywords: Software Tools, DSC & DCE PerfusionDynamic contrast enhanced MRI (DCE-MRI) is capable of quantitative assessment of renal function and evaluation of the detailed anatomy of the urinary tract and renal arteries in patients. To reconstruct the dynamic volumes in DCE-MRI, Golden-angle RAdial Sparse Parallel (GRASP) reconstruction algorithm is commonly used. In this software, we have developed an efficient open-source, purely Python-based, standalone GRASP reconstruction library called pyGRASP that allows researchers to access the source code for development, facilitating flexible deployment with readable code and no compilation, and easy utilization without requirement of a steep learning curve.

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Keywords