Systems and methods for super-resolution ultrasound imaging of microvessels in a subject are described. Ultrasound data are acquired from a region-of-interest in a subject who has been administered a microbubble contrast agent. The ultrasound data are acquired while the microbubbles are moving through, or otherwise present in, the region-of-interest. The region-of-interest may include, for instance, microvessels or other microvascuiature in the subject. By isolating, localizing, tracking, and accumulating the microbubbles in the ultrasound data, super-resolution images of the microvessels can be generated.

A system for displaying medical imaging data comprising one or more data inputs, one or more processors, and one or more displays, wherein the one or more data inputs are configured for receiving first image data generated by a first medical imaging device, wherein the first image data comprises a field of view (FOV) portion and a non-FOV portion, and the one or more processors are configured for identifying the non-FOV portion of the first image data and generating cropped first image data by removing at least a portion of the non-FOV portion of the first image data, and transmitting the cropped first image data for display in a first portion of the display and additional information for display in a second portion of the display.

The various examples of the present disclosure are directed towards a multi-physics controller that can predict and monitor ablation procedures. In some examples of the present disclosure, fat saturation images can be used to create custom microwave ablation bioelectric/biothermal models. In some examples of the present disclosure, a deformation correction methodology can be used. Thereby, microwave and mechanics computational models can forecast therapeutic delivery intraoperatively while correcting for deformation.

Systems and methods for scanning near infrared (NIR) and visible light images and creating co-registered images are provided. A system can include a visible light image capturing device, an near infrared image capturing device, a housing unit, a light source configured to emit light at multiple wavelengths, and a processor configured to use image segmentation algorithms to measure a target issue or wound, detect hemodynamic signals, and combine the visible light image and a hemodynamic image to create a single image.

The invention provides a fluid analysis apparatus, a method for operating a fluid analysis apparatus, and a fluid analysis program that perform display such that the tendency of a fluid flow in a blood vessel is easily checked. Route position information that is capable of identifying an order along a route of the anatomical structure is assigned to each position in the anatomical structure, using three-dimensional volume data in which each voxel has the information of a three-dimensional flow velocity vector indicating a flow velocity of a fluid in an anatomical structure. The three-dimensional flow velocity vector is selected such that the route position information of a position where the three-dimensional flow velocity vector is present is sequentially arranged from one point in the anatomical structure and a trajectory indicating the flow of the fluid is drawn so as to be visibly recognized.

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.

The invention relates to a device for processing CT imaging data, comprising a processing unit, which is configured to receive a plurality of sets of CT imaging data recorded at different imaging positions and at different points in time. Furthermore, the processing device is configured to provide a plurality of auxiliary sets of CT imaging data, each auxiliary set of CT imaging data comprising processed image data allocated to spatial positions inside a respective spatial section of the object space, wherein a given one of the spatial sections contains those spatial positions which are covered by those sets of CT imaging data acquired at a respective one of the imaging positions, and to generate the processed image data for a given spatial position using those of the sets of CT imaging data acquired at the respective one of the imaging positions.

According to one embodiment, a medical image processing apparatus includes first specifier, second specifier, determiner and display controller. First specifier collates an ischemic region calculated from a blood vessel visualized into a three-dimensional image in a plurality of phases with a dominating region of the blood vessel, and specifies a culprit vessel in the ischemic region. Second specifier specifies a culprit stenosis in the culprit vessel based on a pressure index calculated from the blood vessel. Determiner determines a connection position to connect a bypass vessel that makes a detour around the culprit stenosis. Display controller displays the determined connection position on a display.

An image processing apparatus includes: an image acquisition unit that acquires a plurality of endoscope images obtained by imaging an observation target at different times with an endoscope; a blood vessel extraction unit that extracts blood vessels of the observation target from the plurality of endoscope images; a blood vessel information calculation unit that calculates a plurality of pieces of blood vessel information for each of the blood vessels extracted from the endoscope images; a blood vessel parameter calculation unit that calculates a blood vessel parameter, which is relevant to the blood vessel extracted from each of the endoscope images, by calculation using the blood vessel information; and a blood vessel change index calculation unit that calculates a blood vessel change index, which indicates a temporal change of the blood vessel, using the blood vessel parameter.

Methods are presented for simulating drug movement within a model of a tumor that is mapped to the specific anatomy of the corresponding tumor in a patient as determined by imaging. With a segmentation of the tumor into distinct interconnected compartments and pre-determined initial parameters for the distributed tissue diffusivities and perfusion levels, the disclosed techniques can be used to predict the drug concentration throughout the tumor as a function of time, as well as the accumulation of drug in the rest of the body. In this way, advantageous initial parameters may be determined using the model. It is also possible to predict drug concentration throughout the tumor for a given intravenous injection of drug. Such a model serves an important role in treatment planning for lung tumors.