In one embodiment, an imaging device determines color information for a portion of organic tissue from one or more captured color images of the tissue. The imaging device identifies one or more optical properties of the portion of tissue based on the determined color information. The imaging device adjusts fluorescence data captured via one or more fluorescence images of the portion of organic tissue. The imaging device provides the adjusted fluorescence data to an electronic display for display.

A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including a biophysical simulator (126), and a reference location (128), and a processor (120) configured to the biophysical simulator and simulate a reference FFR value at a predetermined location along a segmented coronary vessel indicated by the reference location. A computer readable storage medium encoded with computer readable instructions, which, when executed by a processor of a computing system, causes the processor to simulate a reference FFR value at a predetermined location along a segmented coronary vessel indicated by a predetermined reference location. A method including simulating a reference FFR value at a predetermined location along a segmented coronary vessel indicated by a predetermined reference location.

A method is disclosed for providing a virtual tomographic stroke follow-up examination image. In an embodiment, the method includes: receiving a sequence of temporally successive tomographic perfusion imaging data sets of a region for examination; calculating the virtual tomographic stroke follow-up examination image of the region for examination by applying a trained machine learning algorithm to the sequence of temporally successive tomographic perfusion imaging data sets received; and providing the virtual tomographic stroke follow-up examination image calculated.

An X-ray-diagnostic apparatus generates time-series first vessel images corresponding to a first direction, and generates second vessel image corresponding to a second direction. The apparatus generates third vessel images corresponding to the second direction, by transforming more than one piece out of the first vessel images based on a blood vessel shape in one of the first vessel images and a blood vessel shape in at least one of the second vessel image, the third vessel image corresponding to respective time phases of the first vessel images. The apparatus generates first color image corresponding to the first direction by using more than one piece out of the first vessel images, and generates second color image corresponding to the second direction by using more than one piece out of the third vessel images. The apparatus displays a stereoscopic image based on the first color-image and the second color image.

In one embodiment, an ultrasonic image processing apparatus includes processing circuitry. The processing circuitry is configured to: acquire a plurality of ultrasonic images in a prescribed period; and select a first ultrasonic image of a specific time phase from the plurality of ultrasonic images in the prescribed period based on a selection standard which is preset.

An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: perform error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. An asynchronous command and imaging pipeline allows remote image processing and analysis in a timely and secure manner even with complicated or large 4-D flow MRI data sets.

An image processing apparatus according to an embodiment comprises processing circuitry configured to acquire morphology image data including a site of a subject and function image data including the site, extract a blood vessel region that corresponds to a blood vessel included in the morphology image data, calculate a fluid index in the blood vessel region, and based on the fluid index, calculate a first function index as an index indicating a function of a tissue to which a nutrient is supplied from the blood vessel, acquire a second function index as an index indicating a function of the tissue based on the function image data, detect a mismatch between the first function index and the second function index, and determine a spatial region that corresponds to the mismatch in the site.

Method and related system (IPS) for visualizing in particular a volume of a substance during its deposition at a region of interest (ROI). A difference image is formed from a projection image and a mask image. The difference image is then analyzed to derive more accurate motion information about a motion or shape of the substance. The method or system (IPS) is capable of operating in an iterative manner. The proposed system and method can be used for processing fluoroscopic X-ray frame acquired by an imaging arrangement (100) during an embolization procedure.

A method for segmenting a two-dimensional angiographic recording of a vessel of a body using a computing apparatus includes providing a three-dimensional reconstruction of the vessel of the body to the computing apparatus. The two-dimensional angiographic recording of the vessel of the body is provided on the computing apparatus. The three-dimensional reconstruction of the vessel of the body is registered with the two-dimensional recording of the vessel of the body. Spatial information of the three-dimensional reconstruction is projected onto the two-dimensional recording, and the two-dimensional recording is segmented using the spatial information projected onto the two-dimensional recording.

A method for real-time vascular modeling and assessment is disclosed. Modeling, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels and construct 3-D vascular extents and determine other vascular characteristics. Assessment, in some embodiments, comprises processing models selectively different from one another to produce one or more vascular indexes which indicate a diagnostic preference, for example, to perform a medical intervention such as a stent implantation. Speed is achieved, for example, by the method being optimized for determining the effects of a medical intervention. In some embodiments, results are produced quickly enough to allow use of the method to perform PCI within the same catheterization used to perform diagnostic imaging.