Abstract: 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.

Abstract: 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.

Abstract: Disclosed herein is a medical system (100, 300, 500) comprising a memory (110) storing machine executable instructions (120) and a magnetic resonance reconstruction module (122). The magnetic resonance reconstruction module is configured to reconstruct a motion corrected tracer-kinetic map (126) from measured k-space data (124). The measured k-space data is undersampled. The measured k-space data is T1 weighted. The measured k-space data is dynamic contrast enhanced k-space data. The medical system further comprises a processor (104) configured for controlling the medical system. Execution of the machine executable instructions causes the processor to: receive (200) the measured k-space data; and reconstruct (202) the motion corrected tracer-kinetic map by inputting the measured k-space data into the magnetic resonance reconstruction module.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Characterizing myocardial perfusion pathology includes analyzing a plurality of medical images of at least a portion of the heart of a subject of interest (20), acquired in a consecutive manner by a medical imaging modality (10). Intensities of selected myocardial image positions from the plurality of medical images are sampled and assigned an index representing an order of acquisition to the respective sampled intensities of the myocardial image positions to obtain intensity curves (60). An index number (64, 66) indicative of a spatio-temporal perfusion inhomogeneity or perfusion dephasing among at least a subset of myocardial segments of the plurality of myocardial segments is calculated, based on the obtained intensity curves (60).

Abstract: 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.

Abstract: A method of characterizing myocardial perfusion pathology by analyzing a plurality of medical images of at least a portion of the heart of a subject of interest (20), acquired in a consecutive manner by a medical imaging modality (10), the method comprising steps of: sampling intensities of selected myocardial image positions from the plurality of medical images and assigning an index representing an order of acquisition to the respective sampled intensities of the myocardial image positions to obtain intensity curves (60); and—calculating an index number (64, 66) indicative of a spatio-temporal perfusion inhomogeneity or perfusion dephasing among at least a subset of myocardial segments of the plurality of myocardial segments, based on the obtained intensity curves (60); a system (52) for myocardial perfusion pathology characterization by analyzing a plurality of medical images by carrying out such method; a medical imaging modality (10) comprising such system (52); a software module (48) for carrying out su

Abstract: 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.

Abstract: A system for generating a processed image dataset is disclosed. The system comprises a plurality of parameter datasets (15), wherein a parameter dataset (1) corresponds to a clinically categorized population and represents a transfer function. The system further comprises a selector (2) for selecting a parameter dataset (1) from the plurality of parameter datasets (15). The system further comprises an image processing subsystem (3) for applying the transfer function represented by the selected parameter dataset (1) to at least part of an image dataset (4) specific for a patient, to obtain a processed image dataset (5). The selector (2) comprises a user interface element (6) for enabling a user to select the parameter dataset (1) from the plurality of parameter datasets (15). A parameter dataset (1) is based on a statistical distribution of a population characteristic.

Abstract: A system (100) for analyzing a sequence of datasets representing sequential images of an object, a dataset associating data values with positions, the images having an image region having a first border (210) and a second border (220) associated with the object, the system comprising a ray establishing means (130) for establishing for individual images an analysis ray (232; 234; 236) connecting the first and second border of the image region, the analysis rays being in a respective position representing a substantially same position with respect to the object, a gradient establishing means (140) for establishing, for individual analysis rays, a gradient value which is representative of a rate of change in the data values across the image region and along the analysis ray from the first border to the second border. The system is well suited to locate perfusion deficits in the myocardium through the identification of transmural gradients.

Abstract: A system for generating a processed image dataset is disclosed. The system comprises a plurality of parameter datasets (15), wherein a parameter dataset (1) corresponds to a clinically categorized population and represents a transfer function. The system further comprises a selector (2) for selecting a parameter dataset (1) from the plurality of parameter datasets (15). The system further comprises an image processing subsystem (3) for applying the transfer function represented by the selected parameter dataset (1) to at least part of an image dataset (4) specific for a patient, to obtain a processed image dataset (5). The selector (2) comprises a user interface element (6) for enabling a user to select the parameter dataset (1) from the plurality of parameter datasets (15). A parameter dataset (1) is based on a statistical distribution of a population characteristic.

Abstract: A system (100) for analyzing a sequence of datasets representing sequential images of an object, a dataset associating data values with positions, the images having an image region having a first border (210) and a second border (220) associated with the object, the system comprising a ray establishing means (130) for establishing for individual images an analysis ray (232; 234; 236) connecting the first and second border of the image region, the analysis rays being in a respective position representing a substantially same position with respect to the object, a gradient establishing means (140) for establishing, for individual analysis rays, a gradient value which is representative of a rate of change in the data values across the image region and along the analysis ray from the first border to the second border. The system is well suited to locate perfusion deficits in the myocardium through the identification of transmural gradients.