Magnetic resonance imaging
Unlock 24/7 MRI access with our digital twins
optimal control
enables highly selective and robust pulse sequences
user friendly
interface for effortless operation
digital twin
technology creates an exact replica of your scanner
error budget
highlights key sources of error
hardware agnostic
software allows easy integration with your lab
What are the challenges in magnetic resonance imaging?
Magnetic resonance imaging (MRI) is an incredibly powerful tool for detecting cancerous
tumours and other abnormalities, but low image quality, long scan times, and high cost
hinder widespread and timely use.
Due to the complex physics involved in MRI, solving these problems is not trivial.
How can Qruise help?
Our advanced modelling software simplifies MRI challenges by creating a digital twin of
your MRI scanner. This offers a realistic, risk-free simulation environment and provides
you with unlimited time to design and test novel pulses. Not only does this save time &
resources, but it can be done from anywhere!
By generating an error budget, the digital twin provides you with valuable insights to
minimise errors and optimise pulses, before you even step foot near a scanner! And all of
this is seamlessly integrated into a user-friendly interface for easy operation.
High-fidelity digital twins with QruiseML
QruiseML uses advanced model learning to generate highly accurate digital twins of MRI
scanners. By leveraging arbitrary experimental data, QruiseML learns your scanner's
parameters, iteratively minimising the statistical distance between the digital twin and the
real device. QruiseML quantifies the sources of error by generating an error budget, which
provides you with all the information you need to enhance imaging performance. You can then
use the digital twin to test novel pulse sequences without the limitation of scanner access.
QuE-MRT
Qruise is a key member of the QuE-MRT project with the aim of “Revolutionisng cancer
imaging through quantum technologies”.
As part of the project, we’ve been developing highly selective and robust control pulse
sequences that precisely target a single sample slice, minimising spin excitations in
other slices for more accurate and efficient imaging.
