A method can include storing a plurality of data sets including values computed for each of a plurality of points for a given spatial region of tissue, the values in each of the data sets characterizing electrical information for each respective point of the plurality of points for a different time interval. The method can also include combining the values computed for each of a plurality of points in a first interval, corresponding to a first map, with the values for computed for each of the respective plurality of points in another interval and to normalize the combined values relative to a common scale. The method can also include generating a composite map for the given spatial region based on the combined values that are normalized.

Provided are a system and method of generating an aggregated stability map of one or more rotational sources associated with a heart rhythm disorder. In accordance therewith, a plurality of rotational area profile maps is accessed for a plurality of analysis intervals. Each of the profile maps includes rotation intensity values for a plurality of locations associated with rotation of the one or more rotational sources. An aggregated stability map is generated based on the profile maps, wherein the stability map includes a plurality of locations. Each location includes a rotation intensity value based at least on a filter number of highest rotation intensity values from corresponding locations of the profile maps, the filter number being automatically determined from a plurality of filter numbers such that the plurality of profile maps as filtered includes a predetermined number of rotation intensity values in excess of a threshold intensity value.

A method includes placing a set of electrodes on a body surface of a patient's body. The method also includes digitizing locations for the electrodes across the body surface based on one or more image frames using range imaging and/or monoscopic imaging. The method also includes estimating locations for hidden ones of the electrodes on the body surface not visible during the range imaging and/or monoscopic imaging. The method also includes registering the location for the electrodes on the body surface with predetermined geometry information that includes the body surface and an anatomical envelope within the patient's body. The method also includes storing geometry data in non-transitory memory based on the registration to define spatial relationships between the electrodes and the anatomical envelope.

In a method and magnetic resonance (MR) apparatus for determining a fraction of scar tissue in the myocardium of an examination person, magnetization of nuclear spins is prepared by radiation of a preparation pulse in the myocardium, and MR signals are acquired for multiple MR images while the magnetization returns to equilibrium. The multiple MR images are brought into registration with each other, so a movement of the heart between MR images is compensated. T1 times are determined using this sequence of compensated MR images. Different MR template images with different contrasts are calculated at different times after radiation of the preparation pulse, using the calculated T1 times. A myocardial contour is determined using one of the template images that has a first contrast. Scar tissue in the myocardium is determined using another template image that has a second contrast that differs from the first contrast.

A method of displaying electrophysiology information includes obtaining a three-dimensional medical image of an anatomical region, registering a localization system to the model; localizing an electrophysiology catheter within the anatomical region; displaying a representation of the localization of the electrophysiology catheter on the model; and displaying image slices of the model. The image slices are selected based upon the localization of the electrophysiology catheter. For example, the image slices can pass through a user-selected localization element carried by the electrophysiology catheter. Rigid and/or non-rigid transforms can be used to register the localization system to the model. Electrophysiology data collected by the catheter can be displayed on the model and/or the image slices thereof. The three-dimensional medical image and/or the electrophysiology data can also be time-varying. In embodiments, scalar maps can also be displayed on the model.

Methods for combining anatomical data and physiological data on a single image are provided. The methods include obtaining an image, for example, a raw near-infrared (NIR) image or a visible image, of a sample. The image of the sample includes anatomical structure of the sample. A physiologic map of blood flow and perfusion of the sample is obtained. The anatomical structure of the image and the physiologic map of the sample are combined into a single image of the sample. The single image of the sample displays anatomy and physiology of the sample in the single image in real time. Related systems and computer program products are also provided.

Apparatus and methods are described for use with a tool that is inserted into a portion of a body of a subject that undergoes cyclic motion. The apparatus and methods include using an imaging device, acquiring a plurality of images of the tool inside the portion of the body, at respective phases of the cyclic motion. Using at least one computer processor, an extent of movement of the tool with respect to the portion of the body that is due to the cyclic motion of the portion of the body is determined. In response thereto, an output is generated that is indicative of the determined extent of the movement of the tool with respect to the portion of the body. Other applications are also described.

System and methods for optical tissue interrogation are provided. In some embodiments, a catheter for visualizing ablated tissue is provided, and can include a catheter body, and a distal tip positioned at a distal end of the catheter body. The distal tip can have one or more openings for exchange of light energy between the distal tip of the catheter and tissue.

In one embodiment, an image processing device includes memory circuitry configured to store a program; and processing circuitry configured, by executing the program, to extract an outer wall of a tubular structure by using a fat image obtained by a water/fat separation method of magnetic resonance imaging, and generate a tubular-structure wall image in which a wall of the tubular structure is distinguished, based on the outer wall.

Automatically determining a medical recommendation for a patient based on multiple medical images from multiple different medical imaging modalities. In some embodiments, a method may include receiving a first and second medical images of a patient from first and second medical imaging modalities, mapping a first region of interest (ROI) on the first medical image to a second ROI on the second medical image, generating first annotation data related to the first ROI and second annotation data related to the second ROI, generating first medical clinical data related to the first ROI and second medical clinical data related to the second ROI, inputting, into a machine learning classifier, the first and second annotation data and the first and second medical clinical data, and automatically determining, by the machine learning classifier, a medical recommendation for the patient related to a medical condition of the patient.