A method includes, receiving: (i) a selected three-dimensional (3D) section that has been ablated in a patient organ in accordance with a specified contour, and (ii) a dataset, which is indicative of a set of lesions formed during ablation of the selected 3D section. The selected 3D section is transformed into a two-dimensional (2D) map, and checking, on the 2D map, whether the set of lesions covers the specified contour.

Systems and methods can be used to provide an indication of heart function, such as an indication of mechanical function or hemodynamics of the heart, based on electrical data. For example, a method for assessing a function of the heart can include determining a time-based electrical characteristic for a plurality of points distributed across a spatial region of the heart. The plurality of points can be grouped into at least two subsets of points based on at least one of a spatial location for the plurality of points or the time-based electrical characteristics for the plurality of points. An indication of synchrony for the heart can be quantified based on relative analysis of the determined time-based electrical characteristic for each of the at least two subsets of points.

Methods, systems, and coaptation measurement devices as described herein include an elongate sensor body at the end of a proximal connecting member, and a plurality of sensors in an array across a face of the sensor body, wherein each sensor of the plurality of sensors is configured to detect if a portion of a heart valve is in contact with the sensor.

A system is provided for augmenting a three-dimensional (3D) model of a heart to indicate the tissue state. The system accesses a 3D model of a heart, accesses two-dimensional (2D) images of tissue state slices of the heart, and accesses source location information of an arrhythmia. The system augments the 3D model with an indication of a source location based on the source location information. For each of a plurality of the tissue state slices of the heart, the system augments a 3D model slice of the 3D model that corresponds to that tissue state slice with an indication of the tissue state of the heart represented by the tissue state information of that tissue state slice. The system then displays a representation of the 3D model that indicates the source location of the arrhythmia and the tissue state of the heart.

A heart size measuring tool includes a tubular body, a flexible measuring cord having length indicia, a measuring cord support mechanism movable between retracted and extended states with respect to the body, and an actuating mechanism to move the measuring cord support mechanism. When in the retracted state the measuring cord support mechanism is positioned within the tubular body with the measuring cord in a collapsed position. When the measuring cord support mechanism is in the extended state the measuring cord extends around a portion of a heart to be measured. A scale on the body can be used in connection with the indicia on the measurement cord to provide a reading of the heart size.

Intelligent multi-scale image parsing determines the optimal size of each observation by an artificial agent at a given point in time while searching for the anatomical landmark. The artificial agent begins searching image data with a coarse field-of-view and iteratively decreases the field-of-view to locate the anatomical landmark. After searching at a coarse field-of view, the artificial agent increases resolution to a finer field-of-view to analyze context and appearance factors to converge on the anatomical landmark. The artificial agent determines applicable context and appearance factors at each effective scale.

A medical apparatus includes a biomagnetic field information acquisition portion that acquires biomagnetic field information obtained from a biomagnetic field generated by an organ including a lesion in a living body, a lesion position information detection portion that detects position information on the lesion in the organ from the acquired biomagnetic field information, an image information acquisition portion that acquires image information including an MRI image or CT image of the organ, and a synthetic image generation portion that uses the image information and the position information on the lesion to generate a synthetic image including a three-dimensional or two-dimensional organ model image of the organ and an image representing a position of the lesion.

An ultrasound cardiac stimulation system includes: a system for measuring the heart electrical activity; a system for generating a beam of focussed ultrasound signals focussed on a targeted zone, the signals being calibrated to generate electrical stimulation in a zone of the heart, the beam generation being synchronised with a first selected time of the electrocardiogram, the generation of the beam corresponding to a pulse with a duration of less than 80 ms; a system for locating the targeted zone coupled with a system for positioning the system for generating the focussed beam to control the beam of focussed ultrasound signals in the targeted zone, the location system being synchronised with the system for generating the beam of focussed signals; a single monitoring system following in real time a temperature and tissue deformation in the targeted zone, the monitoring system taking measurements in synchronisation with the rhythm of the electrocardiogram.

Methods are provided for dynamically visualizing information in image data of an object of interest of a patient, which include an offline phase and an online phase. In the offline phase, first image data of the object of interest acquired with a contrast agent is obtained with an interventional device is present in the first image data. The first image data is used to generate a plurality of roadmaps of the object of interest. A plurality of reference locations of the device in the first image data is determined, wherein the plurality of reference locations correspond to the plurality of roadmaps. In the online phase, live image data of the object of interest acquired without a contrast agent is obtained with the device present in the live image data, and a roadmap is selected from the plurality of roadmaps. A location of the device in the live image data is determined. The reference location of the device corresponding to the selected roadmap and the location of the device in the live image data is used to transform the selected roadmap to generate a dynamic roadmap of the object of interest. A visual representation of the dynamic roadmap is overlaid on the live image data for display. In embodiments, the first image data of the offline phase covers different of phases of the cardiac cycle of the patient, and the plurality of roadmaps generated in the offline phase covers the different phases of the patient's cardiac cycle. Related systems and program storage devices are also described and claimed.

Systems and methods are provided for enhanced heart medical imaging operations, particularly as by incorporating use of artificial intelligence (AI) based fetal heart functional analysis and/or real-time and automatic ejection fraction (EF) measurement and analysis.