At least one example embodiment relates to a computer-implemented method for providing stroke information, the method comprising receiving computed tomography imaging data of an examination area of a patient, the examination area of the patient comprising a plurality of brain regions, at least one brain region of the plurality of brain regions being affected by a stroke, receiving brain atlas data, generating registered imaging data based on the computed tomography imaging data and the brain atlas data, the registered imaging data being registered to the brain atlas data, generating the stroke information regarding the stroke based on a set of algorithms and the registered imaging data, and providing the stroke information.

Method for manufacturing a tridimensional blood vessel model using stereolithography and optionally cell culture. Applications include surgery training, research on pathology such as SCDs and in vitro drug testing e.g. for antiplatelets. Existing models are not compatible with cell culture and cannot withstand high pressure, as opposed to the present invention. Stereolithography allows modelling of complex vessels such as carotid siphons as opposed to other existing methods.

Disclosed is a medical imaging system, including a processor circuit configured for communication with an x-ray imaging device movable relative to a patient and an intravascular catheter or guidewire sized and shaped for positioning within a blood vessel of the patient, wherein the processor circuit is configured to receive a first angiographic image of a first length of the vessel and a second angiographic image of a second length of the vessel, wherein the first image is obtained at a first position and the second angiographic image is obtained at a second position. The processor is further configured to generate a roadmap image of a combined length of the blood vessel by combining the first image and the second image, and to receive intravascular data associated with the blood vessel, and to co-register the intravascular data to corresponding locations in the roadmap image; and output the roadmap image and a graphical representation of the intravascular data at the corresponding locations in the roadmap image.

An image processing method, including: by a processor: acquiring a fundus image; performing a first enhancement processing on an image of at least a central region of the fundus image, and performing a second enhancement processing, which is different from the first enhancement processing, on an image of at least a peripheral region of the fundus image that is at a periphery of the central region; and generating an enhanced image of the fundus image on the basis of a first image obtained as a result of the first enhancement processing having been performed and a second image obtained as a result of the second enhancement processing having been performed.

A non-transitory computer-readable recording medium stores therein a calculation program that causes a computer to execute a process including acquiring a first distributed representation of a partial image corresponding to a specific site of an object to be examined included in each of a plurality of images, by executing machine learning performed by an autoencoder using the partial image of an area corresponding to the specific site, for each of one or more specific sites, and acquiring a second distributed representation of the plurality of images, based on the first distributed representation and a result of machine learning performed by the autoencoder, using the plurality of images, wherein abnormality determination on the object to be examined included in an image to be determined is executed, based on the first distributed representation and the second distributed representation.

Devices, systems, and methods for stent detection and apposition are disclosed. Embodiments obtain a plurality of images of intravascular image data of a vessel wall and an endovascular device, generate a signal that represents the plurality of images, identify one or more images that correspond to the endovascular device based on the signal that represents the plurality of images, generate a representation of a three-dimensional (3D) shape of the endovascular device based on the one or more images, determine an apposition value of the endovascular device relative to the vessel wall using a representation of a 3D shape of a lumen segment that corresponds to the endovascular device, the apposition value based on a volume difference between the 3D shape of the lumen segment and the 3D shape of the endovascular device, and present information indicating the apposition value.

An artificial intelligence system for analyzing imagery, the system comprising a computing device, the computing device designed and configured to receive a plurality of photographs related to a human subject; analyze the plurality of photographs to identify a conditional indicator contained within the plurality of photographs; generate a classification algorithm utilizing the conditional indicator, wherein the classification algorithm utilizes the conditional indicator as an input and outputs a conditional profile; and determine a conditional status of the human subject utilizing the conditional profile.

A high contrast instrument, such as a radiopaque portion, can be captured and/or viewed in an image that is acquired with an imaging system, such as with a fluoroscopic imaging system. A statistical model can be used to assist in identifying a possible or probable location of a target. A user may move the instrument coil to the statistically probable location of the target to, for example, perform a procedure or carry out a task.

Example embodiments allow for fast, efficient motion-magnification of video streams by decomposing image frames of the video stream into local phase information at multiple spatial scales and/or orientations. The phase information for each image frame is then scaled to magnify local motion and the scaled phase information is transformed back into image frames to generate a motion-magnified video stream. Scaling of the phase information can include temporal filtering of the phase information across image frames, for example, to magnify motion at a particular frequency. In some embodiments, temporal filtering of phase information at a frequency of breathing, cardiovascular pulse, or some other process of interest allows for motion-magnification of motions within the video stream corresponding to the breathing or the other particular process of interest. The phase information can also be used to determine time-varying motion signals corresponding to motions of interest within the video stream.

An image processing device disclosed in the present specification includes a display control unit configured to display, on a display unit, an image obtained by visualizing functional information related to optical characteristics of a subject based on a photoacoustic signal obtained by receiving a photoacoustic wave generated in the subject by irradiating the subject with light, and a correction unit configured to correct the functional information of the image displayed on the display unit based on a first image value of the functional information of the image displayed on the display unit and a second image value of the functional information.