Meeting Banner
Abstract #3295

Perfusion Quantification from Multi-delay Arterial Spin Labeling (ASL): Validation on Numerical Ground Truth

Qihao Zhang1, Liangdong Zhou2, John Morgan3, Thanh D Nguyen4, Pascal Spincemaille3, and Yi Wang2
1Cornell University, Ithaca, NY, NY, United States, 2Weill Cornell Medicine, New York, NY, United States, 3Radiology, Weill Cornell Medicine, New York, NY, United States, 4Weill Cornell Medicine College, New York, NY, United States

Tissue flow vector field is generated by solving the inverse problem of a voxelized transport equation using multi-delay ASL data and an optimization method. The accuracy of the flow estimation is validated on a vasculature model. For calculating flow vector field in vivo, time resolved 3D (4D) tracer concentration data is acquired using a multi-delay pseudo continuous ASL sequence. The background suppression pulse is interleaved into labeling pulse to generate short post label delay. The output flow magnitude map shows a more anterior-poster-uniform CBF than the traditional Kety’s method.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here