According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

A method includes obtaining image data, selecting image datasets from the image data, creating three-dimensional (3D) matrices based on the selected image dataset, refining the 3D matrices, applying one or more matrix operations to the refined 3D matrices, selecting corresponding matrix columns from the 3D matrices, applying big data convolution algorithm to the selected corresponding matrix columns to create a two-dimensional (2D) matrix, and applying a reconstruction algorithm to create a super-resolution biomarker map image.

A bleeding detection unit in a surgical system processes information in an acquired scene before that scene is presented on a display unit in the operating room. For example, the bleeding detection unit analyzes the pixel data in the acquired scene and determines whether there are one or more initial sites of blood in the scene. Upon detection of an initial site of blood, the region is identified by an initial site icon in the scene displayed on the display unit. In one aspect, the processing is done in real-time which means that there is no substantial delay in presenting the acquired scene to the surgeon.

According to one embodiment, an X-ray diagnostic apparatus includes processing circuitry. The processing circuitry is configured to specify a position of a pathological abnormality candidate and a pathological abnormality type of a breast of a subject from a plurality of pieces of tomographic images obtained by performing tomosynthesis imaging on the breast. The processing circuitry is configured to, in a two-dimensional image obtained by performing X-ray imaging on the breast, perform image processing on a position corresponding to the position of the specified pathological abnormality candidate in accordance with the pathological abnormality type.

An image processing apparatus including: a memory to store intraluminal images captured by a medical device inserted into a living body, the intraluminal images being associated with time series; and a processor to detect an abnormal area from intraluminal images captured by a medical device inserted into a living body, set a similar abnormal section where the abnormal areas being similar to each other are included, generate information related to the similar abnormal section, extract an intraluminal image that is used as a representative image from among the intraluminal images belonging to the similar abnormal section, control the display device to display the representative image, extract, as the information related to the similar abnormal section from among the intraluminal images, non-representative images which are part of intraluminal images other than the representative image, and control a display device to display the information related to the similar abnormal section.

The present application relates to a method and system for analyzing blood flow conditions. The method includes: obtaining images at multiple time phases; constructing multiple vascular models corresponding to the multiple time phases; correlating the multiple vascular models; setting boundary conditions of the multiple vascular models respectively based on the result of correlation; and determining condition of blood vessel of the vascular models.

The present application relates to method and device for determining image similarity that includes: dividing a target image into multiple regions based on positions of pixels relative to a reference point in the target image, and dividing a reference image into multiple regions based on positions of pixels relative to a reference point in the reference image; determining, based on feature points in the target image and feature points in the reference image as well as the regions obtained by dividing the target image and the regions obtained by dividing the reference image, similarity between a distribution of the feature points in the target image and a distribution of the feature points in the reference image. According to the method of the present application, the similarity is described more reasonably.

A system and method for analysis of 3D deformations and regional function of a heart includes: a magnetic resonance imaging (MRI) scanner configured to acquire three tagged volume data series with mutually perpendicular tag lines of a heart; a data storage device in communication with the MRI scanner and configured to store the three tagged volume data series; and an image processing machine in communication with data storage device. The image processing machine is configured to: model an intensity distribution around each voxel of each tagged volume data series as a moving sine wave front with a local frequency and an amplitude; and determine a phase and frequency for each voxel from the local frequency and amplitude and a displacement from a quotient of a phase difference and the local frequency.

The invention relates to a method and apparatus for evaluation of the effect of a treatment on one or more characteristics of a plant. More particularly, the invention relates to a method and apparatus for high throughput analysis of the effect of a treatment on one or more characteristics of a plant.

A dynamic analysis device including a hardware processor that generates, from each of a first chest dynamic image and a second chest dynamic image generated by radiographing dynamics of a chest at different times, a plurality of pieces of waveform information including at least waveform information indicating a respiratory state and waveform information indicating a heartbeat state; selects, from the second chest dynamic image, a comparative image to be compared with a reference image included in the first chest dynamic image, according to the generated plurality of pieces of waveform information; and subjects the reference image and the comparative image to a comparison analysis process.