An apparatus includes an imaging probe and is configured for dynamically arranging presentation of visual feedback for guiding manual adjustment, via the probe, of a location, and orientation, associated with the probe. The arranging is selectively based on comparisons between fields of view of the probe and respective results of segmenting image data acquired via the probe. In an embodiment, the apparatus includes a sensor which guides a decision that acoustic coupling quality is insufficient, the apparatus issuing a user alert upon the decision.

Embodiments and aspects described herein provide methods and systems for determining pressure difference across a tube arising from fluid flow within the tube, comprising: obtaining three-dimensional time dependent fluid velocity data at a plurality of points along the tube; processing the three-dimensional time dependent fluid velocity data to determine: i) a flow rate (Q) of the fluid through the tube; ii) the kinetic energy (K) of the fluid flow through the tube; iii) an advective energy rate (A) of the fluid flow through the tube; and iv) a viscous dissipation rate (V) pertaining to the fluid flow; and calculating the pressure difference in dependence on all of the flow rate (Q), kinetic energy (K), advective energy rate (A), and viscous dissipation rate (V). Further embodiments are also described.

A system (102) includes a digital information repository(s) (104) configured to store an aortic valve area measurement, a mean transaortic pressure gradient measurement, and a peak aortic jet velocity measurement for a subject of interest. The system further includes a computing apparatus (106). The computing apparatus comprises a memory (110) configured to store instructions (120) for an aortic stenosis classifier (122). The computing apparatus further comprises a processor (108) configured to execute the stored instructions for the aortic stenosis classifier to classify a severity of an aortic stenosis of the subject of interest based at least on the aortic valve area measurement, the mean transaortic pressure gradient measurement, and the peak aortic jet velocity measurement for the subject of interest. The computing apparatus further comprises a display configured to display the severity.

Apparatus for monitoring activation in a heart comprises a probe 101, a plurality of electrodes 102 supported on the probe and extending over a detection area of the probe, the detection area being arranged to contact a detection region of the heart. Each of the electrodes 102 is arranged to detect electrical potential at a respective position in the heart during movement of a series of activation wave fronts across the detection region. A processor is arranged to analyse the detected electrical potentials to identify a propagation direction of at least one of the wave fronts, and to generate an output indicative of that direction.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Systems and methods are disclosed for identifying anatomically relevant blood flow characteristics in a patient. One method includes: receiving, in an electronic storage medium, a patient-specific representation of at least a portion of vasculature of the patient having a lesion at one or more points; receiving values for one or more metrics of interest associated with one or more locations in the vasculature of the patient; receiving one or more observed lumen measurements of the vasculature of the patient; determining the location of a diseased region in the vasculature of the patient using the received values for the one or more metrics of interest, wherein the determination of the location includes predicting or receiving one or more healthy lumen measurements of the vasculature of the patient; determining the extent of the diseased region; and generating a visualization of at least the diseased region.

The invention is directed to methods for diagnosing reperfusion/non-reperfusion hemorrhage and predicting cardiac arrhythmias and sudden cardiac death in subjects comprising using imaging techniques to detect regional iron oxide deposition. The invention also provides treatment methods for subject at increased risk of sudden cardiac death.

Embodiments include a system for determining cardiovascular information for a patient with coronary artery disease. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart and create a model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create, for a given level of physical activity, a physics-based model of blood flow through the patient's heart simulated during a selected level of physical activity; determine and normalize one or more values of at least one blood flow characteristic within the patient's heart during the simulated level of physical activity; and compare the one or more normalized values of the at least one blood flow characteristic to a threshold to determine whether the level of physical activity exceeds an acceptable level of risk.

An aspect of the present disclosure calculates a phase variance value indicating a degree of variance of a phase in a surrounding of each position in a biological tissue, based on phase values of excitation wave at respective positions in the biological tissue that acts in response to excitation caused by propagation of the excitation wave in the tissue, and generates an analysis map, based on a time series of at least part of the phase variance values at the respective positions. Since the phase variance value indicates the degree of variance of the phase in the surrounding, a position having a large degree of variance of the phase in the surrounding may be specified as a rotation center of rotating excitation wave.

Biomarkers and/or risk assessments identify patients having an increased risk of certain clinical disease states including, for example, CHD, type 2 diabetes, dementia, or all-cause death (ACD) using NMR signal to measure a level of “GlycA” in arbitrary units or in defined units (e.g., μmol/L) that can be determined using a defined single peak region of proton NMR spectra. The GlycA measurement can be used as an inflammation biomarker for clinical disease states. The NMR signal for GlycA can include a fitting region of signal between about 2.080 ppm and 1.845 ppm of the proton NMR spectra.