A method for providing an optimum subtraction data set includes: receiving first image data sets acquired by a medical imaging device and which map an object under examination within a first time phase; receiving at least one second image data set acquired by the same or another medical imaging device and which maps a change in the object under examination within a second time phase; dividing the at least one second image data set into a plurality of image regions; generating subtraction image regions for the plurality of image regions; determining an image quality parameter for each subtraction image region; determining an optimum subtraction image region for each image region of the plurality of image regions of the at least one second image data set by comparing the image quality parameters; generating the optimum subtraction data set from the optimum subtraction image regions; and providing the optimum subtraction data set.

The present invention relates to the field of medical monitoring, and in particular non-contact, video-based monitoring of pulse rate, respiration rate, motion, and oxygen saturation. Systems and methods are described for capturing images of a patient, producing intensity signals from the images, filtering those signals to focus on a physiologic component, and measuring a vital sign from the filtered signals.

A medical image processing apparatus according to present embodiments includes processing circuitry. The processing circuitry is configured to acquire medical images. The processing circuitry is configured to control the medical images based on an evaluation value corresponding to each of the medical images, thereby control a forwarding/reversing number or a forwarding/reversing speed of displayed images of the medical images for an operation amount.

The present disclosure relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of regions in one or more regions of interest (ROI's) on a patient and assigning one or more visual indicators to the regions based on the calculated changes in depth of the regions over time. In some embodiments, one or more breathing parameter signals corresponding to the regions can be generated and/or analyzed. In these and other embodiments, the one or more visual indicators can be displayed overlaid onto the regions in real-time. In these and still other embodiments, the systems, methods, and/or computer readable media (i) can display one or more generated breathing parameter signals in real-time and/or (ii) can trigger an alert and/or an alarm when a breathing abnormality is detected.

The present technology relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of a region of interest (ROI) on a patient. In some embodiments, the systems, methods, and/or computer readable media can identify steep changes in depths. For example, the systems, methods, and/or computer readable media can identify large, inaccurate changes in depths that can occur at edge regions of a patient. In these and other embodiments, the systems, methods, and/or computer readable media can adjust the identified steep changes in depth before determining one or more patient respiratory parameters.

Systems and methods for multi-modality data processing are provided. Some embodiments are particularly directed to navigating sets of multi-modality medical data in a multi-modality processing system. In one embodiment, a method for navigating medical data in a medical processing system includes receiving a reference set of medical data by the medical processing system, where the medical data corresponds to a modality selected from the group consisting of: FFR, iFR, pressure, flow, IVUS, and OCT. The medical processing system also receives a navigation command. An enhancement and a subset of the reference set of medical data to enhance are identified based on the navigation command. The medical processing system performs the selected enhancement on the subset of data and the enhanced subset is displayed. The enhancement may include performing a single-axis zoom on the subset.

Among other things, a user of a browser is exposed simultaneously to three interfaces: A viewing interface for at least one image of a subject that is stored on a device on which the browser is running, a decision support interface that aids the user in determining the state of the subject based on the image, and a template interface that aids the user in capturing uniform descriptive information about the state of the subject. At least two of the viewing interface, the decision support interface, and the template interface operate cooperatively so that actions of the user with respect to one of the two interfaces causes changes in content exposed by the other of the two interfaces.

Methods and systems are described for producing non-invasive and targeted neuronal lesions using magnetic resonance and acoustic energy. Imaging data corresponding to a region of interest is obtained, the region of interest within an imaging subject. Information indicative of a target region within the region of interest is received from the obtained imaging data. Focused acoustic energy directed to the target region within the region of interest is generated to disrupt a barrier between a therapeutic agent and parenchymal tissue in response to insonification by the focused acoustic energy, the therapeutic agent comprising a neurotoxin and microbubbles.

Method for determining positive entrainment sites for mapping active reentrant circuits, including the procedures of measuring a pre-entrainment cycle length at least one cardiac site, measuring a post-pacing interval (PPI) at the cardiac site, determining a difference between the PPI and the pre-entrainment cycle length and annotating the cardiac site according to the determined difference.

A device and method for detecting cerebral microbleeds use magnetic resonance images. The disclosed device includes a preprocessing unit that normalizes an SWI image and a phase image, respectively, of the magnetic resonance images, and performs phase image conversion for inverting a code of the normalized phase image, a YOLO neural network module that receives a two-channel image in which the preprocessed SWI image and phase image are concatenated and detects a plurality of candidate regions for the cerebral microbleeds, and a cerebral microbleeds determination neural network module that receives patch images of candidate regions of the SWI image and phase image based on the candidate regions and determines whether the patch images of each candidate region are an image with a symptom of the cerebral microbleeds through a neural network operation.