Simple Perfusion Reconstruction Algorithm (SPIRAL) Clinical Research Study

The delivery of stroke treatment requires simple, quick, and accurate imaging to make fast treatment decisions. Computed tomography angiography (CTA) is required to identify a large vessel occlusion (LVO) and medium vessel occlusion (MeVO) before removal (recanalization) by tPA and/or endovascular thrombectomy (EVT). The CTA can detect where the artery is blocked reliably by an expert specialist but misdiagnosis is common among non-experts. Another separate scan called CT perfusion that involves giving a further injection of dye. It is the CTP that can show areas of reduced blood flow to the brain and can help make treatment decisions about the benefit and safety of unblocking the artery. However, CTP have significant limitations that include treatment delay because of the additional scan, potential kidney damage from the dye, and cancer risk because of exposure to more radiation.

In addressing these limitations, we have developed the SPIRAL (Simple PerfusIon Reconstruction ALgorithm), which is a novel imaging technique created from multiple CT angiograms that can detect large vessel occlusions and visualize the areas in the brain most severely affected by the stroke and is a quicker, safer and cheaper alternative to CTP. In this study, we will modify and apply

Faculty Supervisor:

Nils Daniel Forkert

Student:

Partner:

Andromeda Medical Imaging

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

University of Calgary

Program: