Abstract: A method includes calculating a first medial-axis tree graph of a volume of an organ of a patient in a first computerized anatomical map of the volume, acquired at a first time. A second medial-axis tree graph is calculated, of a volume of the organ of the patient in a second computerized anatomical map of the volume, acquired at a second time that is different from the first time. A deviation is detected and estimated, between the first and second tree-graphs. Using the estimated deviation, the first and second medial-axis tree graphs are registered with one another. Using the registered first and second tree graphs, the first and second computerized anatomical maps are combined.

Abstract: Systems, devices, and techniques are disclosed for automatically generating CPM matrices. The system includes a processor configured to receive a plurality of historical, sparse CPM matrices and a plurality of historical, supplemented CPM matrices, wherein each sparse CPM matrix is associated with a respective supplemented CPM matrix; train a learning system based on the plurality of historical, sparse CPM matrices and the plurality of historical, supplemented CPM matrices, wherein the learning system is trained so as to generate a supplemented CPM matrix given a sparse CPM matrix; receive, by the trained learning system, a new, sparse CPM matrix; and generate, with the trained learning system, a new supplemented CPM matrix.

Abstract: A system and method performed in association with medical equipment in a medical procedure are disclosed. The system and method include measuring at least one electrical signal in the medical procedure, rendering a depiction of the medical procedure on a display, representing the measured at least one electrical signal on the display in conjunction with the rendering of the medical procedure, recording the location of at least one piece of medical equipment during the medical procedure, processing the recorded location of at least one piece of medical equipment, depicting the value of signals measured via the at least one piece of medical equipment, and providing an output that correlates the processed recorded location of at least one piece of medical equipment with the depicted signals measured via the at least one piece of medical equipment at the processed recorded location by the at least one piece of medical equipment.

Abstract: A method is described herein. The method is implemented by an optimization engine executed by a processor. The optimization engine receives data that includes performance metrics of mapping and ablation procedures. In turn, the optimization generates procedure expected outcomes for the mapping and ablation procedures based on the data and success predictions for a current ablation procedure utilizing the procedure expected outcomes. The optimization engine, also, outputs an ablation recommendation based on the success predictions.

Abstract: A method and apparatus of aiding a physician in locating an area to perform an ablation on patients with atrial fibrillation (AFIB) includes receiving data at a machine, from at least one device, the data including information relating to a desired location for performing an ablation, generating, by the machine, an optimal location for performing the ablation based upon the data and inputs, and providing an optimal set of ablation parameters for performing the ablation at the location output by the model, or at a location specified by the physician.

Abstract: Systems, devices, and techniques are disclosed for automatically generating CPM matrices. The system includes a plurality of body surface electrodes configured to sense electric signals and a processor comprising a neural network. The processor is configured to receive a plurality of historical CPM matrices, patient properties, and corresponding catheter locations, train a learning system based on the plurality of CPM matrices, patient properties, and corresponding catheter locations, generate a model based on the learning system, receive new patient properties at least in part from the plurality of body surface electrodes and generate new CPM matrices based on new patient properties at least in part from the plurality of body surface electrodes.

Abstract: Systems, devices, and techniques are disclosed for automatically detecting arrhythmia locations. The systems, devices, and techniques include a plurality of body surface electrodes configured to sense electrocardiogram (ECG) data. The systems, devices, and techniques include a processor including a neural network configured to receive a plurality of historical ECG data and corresponding arrhythmia locations determined based on each of the plurality of historical ECG data, train a learning system based on the plurality of historical ECG data and corresponding arrhythmia locations, generate a model based on the learning system. New ECG data may be received from the plurality of body surface electrodes and the processor may provide a new arrhythmia location based on the new ECG data. Additionally, a new coherent mapping adjustment may be provided based on a model that is trained using historical coherent mapping adjustments.

Abstract: A method, including receiving sets of signals during multiple cardiac cycles, each set indicating, for a probe inserted into a cardiac chamber, a 3D location of a distal end of the probe, electrical potentials measured at the location, and respective times during a given cycle when the potentials were measured. The received measurements and the respective times are compared to a first template for a sinus rhythm cycle and a second template for a non-sinus rhythm cycle so as to identify a sequence of cycles including consecutive first, second, and third cycles wherein the first and second cycles match the first template and the third cycle matches the second template. A physical map is generated based on the locations. Based on the received locations and corresponding potentials, an electroanatomic map including the local activation times for the non-sinus rhythm cycle overlaid on the physical map is rendered to a display.

Abstract: A method includes receiving two or more surface representations of at least a portion of an organ of a patient. The two or more received surface representations are registered one with the other. One of the surface representations is selected as a base map. A draggable geodesic region is generated for at least one of the two or more surface representations not selected as a base map, wherein the geodesic region is configured to follow varying anatomy as the region is dragged over the base map. The draggable geodesic region is overlaid on the base map to generate a mixed multilayer representation, and the mixed multilayer representation is presented to a user.

Abstract: A method, including receiving sets of signals during multiple cardiac cycles, each set indicating, for a probe inserted into a cardiac chamber, a 3D location of a distal end of the probe, electrical potentials measured at the location, and respective times during a given cycle when the potentials were measured. The received measurements and the respective times are compared to a first template for a sinus rhythm cycle and a second template for a non-sinus rhythm cycle so as to identify a sequence of cycles including consecutive first, second, and third cycles wherein the first and second cycles match the first template and the third cycle matches the second template. A physical map is generated based on the locations. Based on the received locations and corresponding potentials, an electroanatomic map including the local activation times for the non-sinus rhythm cycle overlaid on the physical map is rendered to a display.

Abstract: A method includes calculating a center-of-mass of a volume of an organ of a patient in a computerized anatomical map of the volume. A location is found on the anatomical map, on a surface of the volume, that is farthest from the center-of-mass. The location is identified as a known anatomical opening of the organ.

Abstract: A method includes receiving two or more surface representations of at least a portion of an organ of a patient. The two or more received surface representations are registered one with the other. One of the surface representations is selected as a base map. A draggable geodesic region is generated for at least one of the two or more surface representations not selected as a base map, wherein the geodesic region is configured to follow varying anatomy as the region is dragged over the base map. The draggable geodesic region is overlaid on the base map to generate a mixed multilayer representation, and the mixed multilayer representation is presented to a user.

Abstract: A method includes receiving one or more signals indicative of a position of a distal-end assembly of a medical probe within an organ of a patient. Based on the received signals, an inner volume that is confined within the distal-end assembly is determined. An anatomical map of the organ is updated, to denote the inner volume of the distal-end assembly as belonging to an interior of the organ.

Abstract: A method includes calculating a center-of-mass of a volume of an organ of a patient in a computerized anatomical map of the volume. A location is found on the anatomical map, on a surface of the volume, that is farthest from the center-of-mass. The location is identified as a known anatomical opening of the organ.

Abstract: Methods, computing systems and computer software products implement embodiments of the present invention that include receiving, by a processor, respective coordinates for multiple points on a surface, and rendering an image of the surface on a display screen. For each given point among the multiple points, a density of the points within a region surrounding the given point is computed, and the given point on the surface with a point size that is inversely related to the computed density is rendered on the display screen.

Abstract: A method includes receiving one or more signals indicative of a position of a distal-end assembly of a medical probe within an organ of a patient. Based on the received signals, an inner volume that is confined within the distal-end assembly is determined. An anatomical map of the organ is updated, to denote the inner volume of the distal-end assembly as belonging to an interior of the organ.

Abstract: Methods, computing systems and computer software products implement embodiments of the present invention that include receiving, by a processor, respective coordinates for multiple points on a surface, and rendering an image of the surface on a display screen. For each given point among the multiple points, a density of the points within a region surrounding the given point is computed, and the given point on the surface with a point size that is inversely related to the computed density is rendered on the display screen.

Abstract: A system and method for identifying a catheter inserted in a patient's body is provided. The system may comprise a catheter comprising a handle, a console comprising an input device, a display screen configured to depict an image of the catheter inside the patient's body, and a processor configured to receive a color parameter from the input device. The system may be configured to receive a desired color parameter input from the input device for the catheter, depict the desired color on the image of the catheter on the display screen, and display the desired color on the corresponding catheter within the patient's body. This configuration allows for a more efficient catheter identification process during medical procedures, and prevents catheter identification confusion and thus harm to catheters or the patient for unnecessary movement of other catheters.