A co-registration system includes a processor circuit that receives x-ray fluoroscopy images of a blood vessel while an intravascular catheter moves through the blood vessel. The processor circuit also receives intravascular data from the intravascular catheter as the catheter moves through the blood vessel. The processor circuit generates a 2D pathway based on the fluoroscopy images. The processor circuit generates an additional 2D pathway from a 3D CT model. The processor circuit performs a co-registration between the intravascular data and the CT-based 2D pathway based on a mapping between corresponding locations of the fluoroscopy-based 2D pathway and the CT-based 2D pathway. The processor circuit performs an additional co-registration between the intravascular data and the 3D CT model based on the first co-registration and outputs the 3D model with a graphical representation of the intravascular data to a display.

An information processing device including: a control unit configured to: acquire at least one frame image generated by using line data indicating intensity of a reflection wave with respect to an ultrasound radially transmitted from an ultrasound transducer moving inside a biological tissue, and extract a specific region from the at least one frame image based on a ratio between an average of luminance in a region of interest included in the at least one frame image and a dispersion of luminance in the region of interest.

An image processing apparatus comprises processing circuitry configured to obtain first medical image data captured at a first time and second medical image data captured at a second time different from the first time, the first medical image data and the second medical image data including data representing a bolus of contrast material in a tubular anatomical structure, wherein the bolus of contrast material has moved between the first time and the second time; determine an expected motion of the bolus of contrast material through the tubular anatomical structure between the first time and the second time; and perform a registration process to obtain a registration of the first medical image data and the second medical image data based at least in part the expected motion of the bolus of contrast material through the tubular anatomical structure.

Systems and methods of predicting future medical events are based on the processing of medical images. The prediction of premature birth and estimation of gestational age based on ultrasound images are presented as illustrative examples. The new abilities to estimate the probability of future medical events, before they otherwise could be predicted, provides new avenues for the development of preventative treatments.

A new system and method is provided for improving the accuracy of blood alcohol measurements. Various aspects contribute to the greater accuracy, including but not limited to pre-processing of the camera output/input, extracting the pulsatile signal from the preprocessed camera signals, followed by post-filtering of the pulsatile signal. This improved information may then be used for such analysis as HRV determination. Preferably a plurality of such physiological measurements are used to determine blood alcohol levels.

A method, device, computing equipment, and storage medium for determining blood flow field information are provided. The method can include: obtaining vascular segment images regarding a target vascular segment; and based on the vascular segment images, determining at least one blood flow field information for the said target vascular segment through a pre-trained neural network.

A processor configured to acquire a medical image; set a reference region and an evaluation region different from the reference region in an organ portion of the medical image; input color information of the medical image of the reference region and the medical image of the evaluation region to a trained classifier; output an evaluation result of a blood flow attribute of the evaluation region with respect to a blood flow attribute of the reference region; and perform control to display an evaluation result of the blood flow attribute of the evaluation region.

An ultrasound diagnostic apparatus (1) includes a gate setting unit (11) that sets a Doppler gate in a blood vessel region by performing an image analysis on a B-mode image in which at least the blood vessel region is imaged; a Doppler processing unit (6) that generates a Doppler waveform image on the basis of Doppler data in the Doppler gate; a display unit (8) that displays the B-mode image and the Doppler waveform image; and an image enlargement unit (9) that, in a case where both the B-mode image and the Doppler waveform image are frozen by a user, displays an enlarged B-mode image in which the blood vessel region including the Doppler gate is enlarged, on the display unit (8).

Systems and methods disclosed herein provide a method for real-time PCI guidance. A method comprises receiving one or more images of a blood vessel from an imaging modality system, the blood vessel having a lumen, a lumen surface, and a wall; building a 3D model of the blood vessel based on the one or more images; segmenting one or more materials between the lumen and the wall of the blood vessel; reconstructing the blood vessel based on the one or more images; assigning material properties to the reconstructed surface of the blood vessel; determining a wall thickness, a plaque thickness, a lumen area, a plaque eccentricity and one or more plaque constituents; guiding an interventional procedure in real-time based on the 3D reconstructed vessel lumen surface and segmented materials; and performing balloon pre-dilation, a percutaneous coronary intervention, and balloon post-dilation with the 3D reconstructed vessel lumen surface and segmented materials.

The invention relates to determining a flow profile in an artery from ultrasound imaging data. For this end, a computer-implemented method (300) is provided for determining (330) a flow profile based on an artery dimension, a velocity in the artery and a measure of asymmetry, wherein the artery dimension, the velocity in the artery and the measure of asymmetry are determined (320) from ultrasound imaging data comprising B-mode, pulsed wave Doppler, and color or power Doppler ultrasound imaging data.