An apparatus for determining a functional index for stenosis assessment of a vessel is provided. The apparatus comprises an input interface (40) and a processing unit (50). The input interface is configured to obtain image data (30) representing a two-dimensional representation of a vessel (6). The processing unit (50) is configured to determine a course of the vessel (6) and a width (w1, w2) of the vessel along its course in the image data and is further configured to determine the functional index for stenosis assessment of the vessel based on the width of the vessel in the image data.

A device and system for supporting a patient or an object in an examination is provided. The supporting system may include a portion for supporting the body of a patient and/or a head supporting device. The portion for supporting the body may move in one or more directions. The head supporting device may be adjust to meet requirements of imaging when the patient or the object is supine or prone.

A method for quantitative flow analysis of a fluid flowing in a conduit from a sequence of consecutive image frames of such a conduit, where such image frames are timely separated by a certain time interval, the method comprising: a) selecting a start image frame and an end image frame from the sequence either automatically or upon user input; b) determining a centerline of the conduit in the start image frame; c) determining a centerline of the conduit in the end image frame; d) selecting a common start point on the centerline of the start image frame and on the centerline of the end image frame either automatically or upon user input; e) selecting an end point on the centerline of the start image frame; f) selecting an end point on the centerline of the end image frame; g) calculating centerline distance between the start point and the end point of the start image frame; h) calculating centerline distance between the start point and the end point of the end image frame; and i) calculating a local flow velocity as a function of the centerline distances of g) and h) and a time interval between the start image frame and the end image frame.
A corresponding imaging device and computer program are also disclosed.

A method of treating a human patient identified as having an injury to a body region includes receiving CT images, where the CT images were generated by performing a CT angiography of an injured body region of the human patient. The method further includes determining, based on the CT images, a total volumetric rate of active bleeding in the injured body region; and recommending at least one treatment approach for the human patient based on the total volumetric rate of active bleeding.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Systems and methods for vision-based position and orientation determination for endovascular tools are disclosed. In one example, a method includes receiving a two-dimensional medical image including a view of at least a distal portion of a medical instrument, the distal portion of the medical instrument including one or more fiducials positioned thereon, the one or more fiducials being radio-opaque and visible in the medical image. The method also includes detecting, within the medical image, a two-dimensional appearance of the one or more fiducials, and based on the two-dimensional appearance of the one or more fiducials, determining at least one of a roll angle of the distal portion of the medical instrument, and an incline of the distal portion of the medical instrument.

Systems and methods for vision-based position and orientation determination for endovascular tools are disclosed. In one example, a method includes receiving a two-dimensional medical image including a view of at least a distal portion of a medical instrument, the distal portion of the medical instrument including one or more fiducials positioned thereon, the one or more fiducials being radio-opaque and visible in the medical image. The method also includes detecting, within the medical image, a two-dimensional appearance of the one or more fiducials, and based on the two-dimensional appearance of the one or more fiducials, determining at least one of a roll angle of the distal portion of the medical instrument, and an incline of the distal portion of the medical instrument.

Systems and methods for high-bandwidth, minimally invasive brain-computer interfaces (BCIs) are disclosed. The BCIs are configured for deployment and operation in conjunction with a comprehensive interventional electrophysiology procedural suite. Three primary methods of minimally invasive electrode array delivery are disclosed: (1) cortical surface delivery, (2) ventricular delivery, and (3) endovascular delivery. Additionally, systems and methods for interacting with such high-bandwidth electrode arrays are discussed, including real-time imaging, signal processing, and neural decoding. Systems and methods for architectures for accelerating the underlying computational processes (such as graphics processing units or tensor processing units) are also discussed. Multiple applications of BCIs are discussed, with emphasis on restoration, rehabilitation, and augmentation of neurologic function.

A system and method for integrating and synchronizing an automated mechanical cardiopulmonary resuscitation (CPR) device with components of cardiac catheterization laboratories so as to enhance the efficacy of each intervention. Synchronization can include image gating so that a monitor shows real time images during relaxation of the CPR, and a static image during compression of the CPR.

A marker-coordinate detecting unit detects coordinates of a stent marker on a new image when the new image is stored in an image-data storage unit; and then a correction-image creating unit creates a correction image from the new image through, for example, image transformation processing, so as to match up the detected coordinates with reference coordinates that are coordinates of the stent marker already detected by the marker-coordinate detecting unit in a first frame. An image post-processing unit then creates an image for display by performing post-processing on the correction image created by the correction-image creating unit, the post-processing including high-frequency noise reduction filtering-processing, low-frequency component removal filtering-processing, and logarithmic-image creating processing; and then a system control unit performs control of displaying a moving image of an enlarged image of a set region that is set in the image for display, together with an original image.