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.

Class-leading quantification

QI's Bayesian inference methods provide world-leading quantification accuracy and image quality. Perfusion abnormality measurements, expressed as Z-scores, are a powerful way to control for demographic covariates in group studies.

Cerebral blood flow (left) and arterial transit time (right) maps produced from Siemens Vida 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.

Data harmonisation

Harmonisation reduces non-biological variation between sites, scanners and timepoints, reducing confounds in multi-site and longitudinal trials.

Harmonisation applied to a single subject acquired with 4 different sequences on GE and Philips scanners.

Quality control

Automatic quality control flags ASL-specific acquisition issues to remove outlier datasets from downstream analysis.

Top: acceptable image quality; bottom: flagged for exclusion by our automatic tools

Surface-based analysis

Surface analysis is a powerful strategy for group analysis, offering improved functional localisation and inter-subject registration. QI's solution is the world’s first pipeline developed specifically for surface-based ASL.

Cortical perfusion Z-scores for a traumatic brain injury case; the right frontal cortex shows the focal point of injury

Next-generation MRI analysis //

// accurate physiology assessment// reducing scan session time// aiding drug development// improving clinical practice// accelerating clinical trials

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