Radiology
QI’s ASL software (FDA approval pending) works with a wide range of product sequences across all platforms and interfaces directly with PACS.
Prof Jeroen Siero, UMC Utrecht
Class-leading quantification
QI's Bayesian inference methods provide world-leading quantification accuracy and image quality.
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 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 //
// precision-guiding treatment// widening access to early diagnosis// improving trial endpoints// reducing contrast use// reducing radiation exposure
For further information or to arrange a demo, get in touch
