A magnetic field measuring apparatus includes a cell array including a plurality of cells each accommodating a medium that changes the polarization rotation angle of laser light incident on the medium in accordance with the intensity of a magnetic field, alight source that emits the laser light, and shielding members with which the cells are provided.

A method and medical system for estimating the deformation of an anatomic structure that comprises generating a first model of at least one anatomical passageway from anatomical data describing a patient anatomy and determining a shape of a device positioned within the branched anatomical passageways. The method and medical system also comprise generating a second model of the plurality of branched anatomical passageways by adjusting the first model relative to the determined shape of the device.

Described herein are neural network-based systems, methods and instrumentalities associated with estimating a thickness of an anatomical structure based on a visual representation of the anatomical structure and a machine-learned thickness prediction model. The visual representation may include an image or a segmentation mask of the anatomical structure. The thickness prediction model may be learned based on ground truth information derived by applying a partial differential equation such as Laplace's equation to the visual representation and solving the partial differential equation. When the visual representation includes an image of the anatomical structure, the systems, methods and instrumentalities described herein may also be capable of generating a segmentation mask of the anatomical structure based on the image.

Systems and methods for selectively processing image studies with an artificial intelligence system. One system includes an electronic processor configured to select an image study awaiting review and update a workflow status of the image study to a first status indicating that the image study has been claimed for review by the artificial intelligence system. The electronic processor is also configured to apply at least one of the plurality of rules to the image study to determine whether the image study is applicable for processing by the artificial intelligence system, and, in response to determining the image study is not applicable for processing by the artificial intelligence system based on the at least one of the plurality of rules, update the workflow status associated with the image study to a second status to make the image study available for claiming by a manual reviewer or another artificial intelligence system.

Provided herein are systems and methods for generating fetal cardiac magnetic resonance (MR) images of a living fetus, within a uterus of a parent of the fetus, by imaging the fetus within the uterus using a magnetic resonance imaging (MRI) system. Also provided herein are methods for deriving information indicative of fetal cardiac cycles from MR data obtained by an MRI system while imaging the fetus, the MR data including MR data for the center of k-space. The derived information may be used to differentiate the fetal cardiac cycles from other sources of noise in the MR data such as the parental cardiac cycles.

In an aspect, the present disclosure provides a method comprising: (a) identifying a first negative and positive electromagnetic dipoles in a first electromagnetic field map associated with a heart of the individual at a first time; (b) identifying a second negative and positive electromagnetic dipoles in a second electromagnetic field map associated with the heart of the individual at a second time; (c) determining a first angle based on the first negative and positive electromagnetic dipoles; (d) determining a second angle based on the second negative and positive electromagnetic dipoles; and (e) determining a presence, an absence, or a likelihood of coronary artery disease in the individual, based at least in part on (i) whether the first angle differs from the second angle by at least 100 degrees, or (ii) whether there is a presence of a third electromagnetic dipole in the first or the second electromagnetic field map.

A probe generates location signals, and has an electrode at a distal end that acquires from heart chamber surface positions electrical signals due to a conduction wave traversing the surface. A processor derives LATs from the electrical signals, calculates a first time difference between LATs at a first pair of positions and a second time difference between LATs at a second pair of positions. The processor calculates first and second LAT-derived distances as products of the first and second time differences with a conduction wave velocity, identifies an arrhythmia origin at a surface location where a first difference in distances from the location to the first pair of the positions is equal to the first LAT-derived distance, and a second difference in distances from the location to the second pair of the positions is equal to the second LAT-derived distance, and marks the origin on a surface representation.

Described herein are systems, methods and instrumentalities associated with automatic assessment of aneurysms. An automatic aneurysm assessment system or apparatus may be configured to obtain, e.g., using a pre-trained artificial neural network, strain values associated one or more locations of a human heart and one or more cardiac phases of the human heart and derive a representation (e.g., a 2D matrix) of the strain values across time and/or space. The system or apparatus may determine, based on the derived representation of the strain values, respective strain patterns associated with the one or more locations of the human heart and further determine whether the one or more locations are aneurysm locations by comparing the automatically determined strain patterns with predetermined normal strain patterns of the heart and determining the presence or risk of aneurysms based on the comparison.

The device for locating cardiac arrhythmias comprises a three-dimensional reconstruction of the patient's torso and a number of surface electrodes, wherein the three-dimensional reconstruction of the patient's torso is generated through a number of images obtained by means of at least one camera. In particular, the device comprises elements for locating the surface electrodes, which detect the position of the electrodes with respect to the patient's torso, and data processing elements that generate, on the basis of the three-dimensional reconstruction and the position of the electrodes, a surface electrocardiographic map, and said surface electrocardiographic map has a number of data corresponding to readings of the surface electrodes related to areas of the three-dimensional reconstruction.

A decision support tool for development of drugs targeting central nervous system conditions. The tool receives measurements made on subjects, which are converted to model outputs using neurocircuitry models. The models are used by a computing device to generate neuro-circuitry based signatures. Neuro-circuitry based signatures associated with an investigational compound may be compared to reference neuro-circuitry based signatures to identify parameters of a clinical trial protocol. The neuro-circuitry based signature comparisons, when generated based on measurement data collected in early phases of a clinical trial process, may increase the likelihood that the investigational compound will quickly and cost-effectively emerge from clinical trials with proof that the investigational compound is effective for treating one or more CNS conditions. The decision support tool may also indicate early phase measurements to make based on a condition against which an investigational compound is theorized to be effective against.