Clinical trials imaging
QI’s clinical trials ASL processing pipeline works with a wide range of product and research sequences across all platforms and provides the following advanced features.
Prof Jeroen Siero, UMC Utrecht
Class-leading quantification
QI's Bayesian inference methods provide world-leading quantification accuracy and image quality, including automatic deblurring for 3D GRASE acquisitions.
Cerebral blood flow (left) and arterial transit time (right) maps produced from Siemens Vida 3T
Automatic deblurring
Patented deblurring technology substantially increases the accuracy and contrast of CBF maps when using 3D readouts such as GRASE.
Comparison of deblurred (top) and uncorrected CBF maps from a 3D GRASE sequence at 3T.
Normative perfusion modelling
QI’s normative perfusion models quantify individual-level perfusion abnormalities, controlling for age, sex and other demographic factors.
Perfusion abnormality scores (Z) for an individual with confirmed Alzheimer’s disease, showing asymmetric hypoperfusion concentrated in the parietal lobe.
Quality control
Automatic quality control flags ASL-specific acquisition issues to increase reader confidence and reduce reporting time.
Top: acceptable image quality; bottom: flagged for exclusion by our automatic tools
Next-generation MRI analysis //
// accurate physiology assessment// reducing scan session time// aiding drug development// improving clinical practice// accelerating clinical trials
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