An image processing apparatus supports detection of pathological change over time in portion of a captured region commonly included in a first image and a second image, the first image and the second image acquired by capturing a subject at different respective times. The image processing apparatus includes an acquisition unit configured to acquire a subtraction image of the first image and the second image representing the pathological change over time as a difference and a recording unit configured to record information indicating said portion using a name different from a name of the commonly included region in a storage unit in association with the subtraction image.

Provided is a technology for extracting an image of a target plane from 2D or 3D image data acquired by a medical imaging apparatus with a small amount of computation and at high speed. A plane of a target plane including a predetermined structure is extracted from image data of a subject. A region of the predetermined structure included in the plane is detected by applying a learning model learned using learning data including a target plane for learning including an image of the structure and a region-of-interest plane for learning obtained by cutting out and enlarging a partial region including the structure in the target plane for learning to a plurality of planes obtained from the image data, and the plane of the target plane is extracted based on the detected region of the predetermined structure.

A retinal imaging system includes an eyepiece lens assembly, an image sensor, a dynamic fixation target viewable through the eyepiece lens assembly, and a controller coupled to the image sensor and the dynamic fixation target. The controller includes logic that causes the retinal imaging system to perform operations including: acquiring a first image of the eye, analyzing the first image to determine whether a lateral misalignment between the eye and the eyepiece lens assembly is greater than a threshold misalignment, in response to determining the lateral misalignment is greater than the threshold misalignment, adjusting a visual position of the dynamic fixation target to encourage the eye to rotate in a direction that compensates for the lateral misalignment, and acquiring the retinal image of the eye while the eye is encouraged to rotate towards the direction that compensates for the lateral misalignment.

A medical image processing method of determining a fractional flow reserve through a stenosis of a coronary artery from medical image data is disclosed. The medical image data comprises a set of images of a coronary region of a patient. The coronary region includes the stenosis. The method comprises: reconstructing a three dimensional model of a coronary artery tree of the patient from the medical image data; determining stenosis dimensions from the three dimensional model of the coronary artery tree of the patient; simulating blood flow in the three dimensional model of the coronary artery tree of the patient to determine modeled flow rates; using an analytical model depending on the stenosis dimensions to predict a modeled pressure drop over the stenosis from the modeled flow rates; and determining the fractional flow reserve through the stenosis from the modeled pressure drop.

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 medical diagnostic system includes an image processor to generate a differential frame from two consecutive medical images of the heart based on difference in pixel-by-pixel brightness of the consecutive images. A brightness segmentation image having a plurality of brightness zones is generated based of the differential frame. From the brightness zones, a turbulence index is calculated based on the iso-contour and the area in each brightness zone. The turbulence index is a quantitative representation of a degree of turbulence in the blood flow which can be used to generate a prognosis and/or diagnosis of cardiac function.

An imaging method. The method comprises the following steps: determining a target by identifying target-related position information or characteristic information (S101); implementing a two-dimensional scan of the target to collect image data of the target in a three-dimensional space (S102); processing, during the scanning, and on a real-time basis, the image data and relevant spatial information to obtain a plurality of image contents of the target, and displaying the image content on a real-time basis (S103); and arranging the plurality of image contents in an incremental sequence to form an image of the target (S104). The imaging method prevents collection of unusable image information, shortens image data collection time, and increases the speed of an imaging process. The application further provides an imaging device.

There is provided an information processing apparatus, including: an image obtaining unit configured to obtain a plurality of images of a fertile ovum captured in time series; a recognizing unit including a probability image generating unit configured to generate, for each image of the fertile ovum, a probability image, wherein each position in the probability image represents the probability that at least part of the fertile ovum is present at the corresponding position in the image of the fertile ovum; and a feature amount calculating unit configured to calculate time-series transformation of the fertile ovum from the probability images over the time series, and calculate a feature amount of the fertile ovum based on the transformation.

A cell observation system according to the present invention includes: a first image-acquisition device disposed in an incubator and acquires a first image of cells in a culturing vessel; a second image-acquisition device disposed outside the incubator; a processing device connected to the first image-acquisition device and the second image-acquisition device; and a display displays at least a region of the first image, as well as the second image. The second image-acquisition device includes a second image-acquisition unit that acquires a second image of the interior of the culturing vessel, that removed from the incubator. The processing device extracts target cells in the first image, calculates positions at which the extracted target cells are present and stores the positions in the memory, and causes the display to display the positions at which the target cells are present in a superimposed manner on an indication indicating the culturing vessel.

A cell observation system according to the present invention includes: a first image-acquisition device disposed in an incubator and acquires a first image of cells in a culturing vessel; a second image-acquisition device disposed outside the incubator; a processing device connected to the first and second image-acquisition devices; and a display. The second image-acquisition device includes a second image-acquisition unit that acquires a second image of the interior of the culturing vessel that removed from the incubator, a support that supports the second image-acquisition unit and the culturing vessel, and a position measuring unit that measures a position between the culturing vessel and the second image-acquisition unit at the time of acquiring the second image. The processing device extracts target cells in the first image, calculates positions of the target cells, and displays the relationship between the positions of the target cells and the second image.