King's College London

Siemens Healthcare Gmbh

Amedeo Chiribiri

Radhouene Neji

Sebastien Roujol

Eike Nagel

Niloufar Zarinabad Nooralipour

Roman Wesolowski

Giulio Ferrazzi

Sarah McElroy

Cian Scannell

Examples of the present disclosure include a method and system for deriving a computer implemented trained artificial intelligence (AI) model that is capable of predicting arterial input function (AIF) from blood and myocardial signal intensity curves of a subject obtained using a magnetic resonance (MR) scanner during injection of a single high dosage bolus of contrast agent that would otherwise cause signal saturation. The method and system requires an input data set of a large number of prior obtained dual bolus or dual sequence sets of scan measurements to be used as training data for the AI model. Once the computer implemented trained AI model has been obtained, it is deployed in a further method and system which receives MR data for a particular subject for which myocardial perfusion parameters such as the AIF is to found, the MR data being obtained from an MR scan taken during injection of a single bolus of contrast agent at a concentration sufficient to give MR signal saturation. The trained AI model is then able to predict, from the single bolus saturated MR data, myocardial perfusion parameters such as the AIF for the subject. The trained AI model is also able to convert between dual bolus datasets and duals sequence datasets.

Method and system for estimating arterial input function

The present techniques relate to a techniques for performing cardiac perfusion imaging in order to detect perfusion defects in the myocardium. The present techniques relate to methods for performing cardiac perfusion imaging by performing at least two image acquisitions using different, customizable saturation delay times, which improves the ability to detect defects.

Method and system for double contrast perfusion imaging

A system and for determining the presence or absence of myocardial ischemia in a subject, based upon analysis of medical images of at least one region of the heart of a subject of interest, the plurality of medical images being acquired in a consecutive manner by a medical imaging modality and being a plurality of myocardial layers in a direction which is generally perpendicular to the wall of the left ventricular myocardium.

System and method for medical imaging

The invention relates to a phantom device for reproducing the fluid perfusion in a body, said device comprising a phantom organ that may be introduced into a scanner, said phantom organ comprising a housing in which are defined a plurality of fluid channels, suitably of differing cross-sectional areas; a feed tube arranged to supply liquid to a first end of all of said channels and means for collecting liquid from the other end of the channels. Alternatively or additionally, the device may comprise an element comprising a phantom heart through which fluid can flow, wherein the phantom heart comprises a first chamber representing a right atrium which is arranged to receive fluid from a fluid supply, a second chamber representing a right ventricle which receives fluid leaving said first chamber, a third chamber representing a left atrium which receives fluid leaving the second chamber and a fourth chamber representing left ventricle which receives fluid leaving the third chamber; and wherein a phantom thoracic system is interposed between the second chamber and the third chamber. Uses of the device in quality control, validation or calibration of monitoring devices such as magnetic resonance (MR) or computerized tomography (CT) scanners, in teaching or training of machine operatives or for research purposes including for research into scanners, scanning techniques or reagents such as contrast agents used in such processes, form further aspects of the invention.

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London, United Kingdom

Amedeo Chiribiri