A medical imaging system configured to link acquired images to markers or tags on an anatomical illustration, based, at least in part on spatial and anatomical data associated with the acquired image. The medical imaging system may be further configured to generate a diagnostic report including the anatomical illustration containing the markers. The diagnostic report may allow a user to select a marker to view information associated with an acquired image and/or the acquired image. Multiple images may be associated with a marker, and/or multiple markers may be associated with an image. A set of 2D and/or 3D anatomical illustrations may be generated which contains markers from multiple diagnostic reports and updated automatically for an individual patient's anatomical model by the application to reflect measurements and/quantitative findings related to organ, tissue, and vessel size, location, deformation, and/or obstruction.

There is provided a speckle measurement apparatus to improve accuracy of flow velocity measurement or the like of particulates such as erythrocytes, the speckle measurement apparatus including an imager that captures scattered light images returned from an object to be measured when the object to be measured is irradiated with coherent light as speckle images, and a controller that determines a measurement area that is the same site of the object to be measured in a plurality of the speckle images captured continuously in time series by the imager by incorporating a displacement amount of a relative positional relationship between the object to be measured and the imager.

Described here are systems and methods for producing an image that depicts blood flow stasis using magnetic resonance imaging (MRI), Doppler echocardiography, or other medical instruments for measuring flow velocities in a human body. A time series of three-dimensional (3D) image volumes is provided, where this time series of 3D image volumes contains flow velocity information at voxel locations in a 3D volume in a subject. One or more regions-of-interest are then segmented from the 3D image volumes. For each voxel in the regions-of-interest, velocity magnitudes are calculated. Using the velocity magnitudes, a flow stasis volume is produced by computing a relative stasis value for each voxel location in the corresponding region-of-interest. This flow stasis volume can be provided as a 3D flow stasis image, or a flow stasis map can be produced by projecting the flow stasis volume onto a two-dimensional (2D) plane.

A dynamic analysis apparatus may include a setting section which sets a target region in a lung region of a chest dynamic image; a conversion section which calculates a representative value of a pixel signal value in the target region, and converts the pixel signal value; an extraction section which extracts a pulmonary blood flow signal from the image; and a calculation section which calculates a change in the pulmonary blood flow signal, and calculates a feature amount regarding pulmonary blood flow. The setting section may determine a size of the target region based on a size of a body part other than a lung blood vessel, a movement amount of a body part other than the lung blood vessel or subject information of the chest dynamic image, the subject information regarding a subject of the radiation imaging, and the setting section may set the target region.

According to embodiment, an image processing apparatus comprising a specifying unit and a display controller. The specifying unit that specifies an acquisition position of an indicator relating to blood flow on a blood vessel-containing image collected by a medical image diagnostic apparatus. The display controller that displays the acquisition position on the blood vessel-containing image and displays the indicator on a display unit in association with the acquisition position.

The present invention relates to a device (1) for fractional flow reserve determination. The device (1) comprises a model generator (10) configured to generate a three-dimensional model (3DM) of a portion of an imaged vascular vessel tree (VVT) surrounding a stenosed vessel segment (SVS), based on a partial segmentation of the imaged vascular vessel tree (VVT). Further, the device comprises an image processor (20) configured to calculate a blood flow (Q) through the stenosed vessel segment (SVS) based on an analysis of a time-series of X-ray images of the vascular vessel tree (VVT). Still further, the device comprises a fractional-flow-reserve determiner (30) configured to determine a fractional flow reserve (FFR) based on the three-dimensional model (3DM) and the calculated blood flow.

A method for analyzing digital holographic microscopy (DHM) data for hematology applications includes receiving a plurality of DHM images acquired using a digital holographic microscopy system. One or more connected components are identified in each of the plurality of DHM images and one or more training white blood cell images are generated from the one or more connected components. A classifier is trained to identify a plurality of white blood cell types using the one or more training white blood cell images. The classifier may be applied to a new white blood cell image to determine a plurality of probability values, each respective probability value corresponding to one of the plurality of white blood cell types. The new white blood cell image and the plurality of probability values may then be presented in a graphical user interface.

An ultrasound system and method are described for acquiring a sequence of ultrasound images of the carotid artery during the delivery of a contrast agent. Plaque in the images is identified and a time-intensity curve is calculated for pixels in the images. The intensity values before and after the arrival of contrast are compared to identify pixels or groups of pixels having perfusion. An anatomical image may be formed showing areas in an image of the plaque of the intensity and presence of perfusion, or the perfusion may be quantified by determining the percentage of pixels in the plaque image which exhibit perfusion. The extent and degree of perfusion is an indicator of the risk of plaque particulates in the blood stream which may lead to stroke-related symptoms.

Methods and systems for suppressing shadowgraphic flow projection artifacts in OCT angiography images of a sample are disclosed. In one example approach, normalized OCT angiography data is analyzed at the level of individual A-scans to classify signals as either flow or projection artifact. This classification information is then used to suppress projection artifacts in the three dimensional OCT angiography dataset.

Optical coherence tomography (OCT) angiography (OCTA) data is generated by one or more machine learning systems to which OCT data is input. The OCTA data is capable of visualization in three dimensions (3D) and can be generated from a single OCT scan. Further, motion artifact can be removed or attenuated in the OCTA data by performing the OCT scans according to special scan patterns and/or capturing redundant data, and by the one or more machine learning systems.