Methods, systems, and apparatus, including computer programs encoded on computer storage media, for contrast enhanced ultrasound quantification imaging are provided. One of the methods includes: obtaining, for each location in a region of interest, a time-dependent ultrasound signal with respect to the region of interest for a time period; setting, for the each location, a global threshold for the obtained time-dependent ultrasound signal; determining, for the each location, a relative time instant that the time-dependent ultrasound signal reaches the global threshold; and generating a structural image of the region of interest based at least on the determined relative time instant of the each location, wherein the generated structural image displays different time instants that ultrasound signals corresponding to different locations in the region of interest reach the global threshold.

The present disclosure relates to a method for providing information necessary for assessing severity of coronary artery stenosis, the method includes: administering a contrast agent to a coronary artery; capturing an angiographic image; setting a suspected stenosis area where stenosis is suspected and a proximal area where blood passes before the suspected stenosis area within region of captured image for observing the coronary artery stenosis based on the captured angiographic image; fixing position of the coronary artery where the contrast agent is administered by image processing; and deriving a blood flow velocity ratio, which is a relative ratio of blood flow in the proximal area and the suspected stenosis area, based on time when brightness changes in the proximal area and the suspected stenosis area of the captured image.

An ultrasonic diagnostic device according to an embodiment includes a collecting unit and processing circuitry. The collecting unit performs ultrasonic scanning with respect to a subject and collects reflected-wave data. The processing circuitry performs short-time Fourier transform in the depth direction with respect to the reflected-wave data; applies a nonlinear adaptive MTI filter on a frequency-by-frequency basis with respect to the result of the short-time Fourier transform; and performs inverse short-time Fourier transform in the depth direction with respect to the output of the nonlinear adaptive MTI filter. Then, the processing circuitry estimates blood flow information from the result of the inverse short-time Fourier transform.

Systems and methods are disclosed for determining anatomy directly from raw medical acquisitions using a machine learning system. One method includes obtaining raw medical acquisition data from transmission and collection of energy and particles traveling through and originating from bodies of one or more individuals; obtaining a parameterized model associated with anatomy of each of the one or more individuals; determining one or more parameters for the parameterized model, wherein the parameters are associated with the raw medical acquisition data; training a machine learning system to predict one or more values for each of the determined parameters of the parametrized model, based on the raw medical acquisition data; acquiring a medical acquisition for a selected patient; and using the trained machine learning system to determine a parameter value for a patient-specific parameterized model of the patient.

An information processing device including a processor configured to: acquire an input image including a blood vessel; generate course information indicating a blood flow course based on the input image; specify at least a start position of an arterial dissection based on the course information; and discriminate between a true lumen and a false lumen of the arterial dissection based on the course information in a range set in accordance with the start position.

A method executable by a system comprising a processor in communication with an extraluminal imaging device and an intravascular pressure measurement device. The method comprises acquiring contrast-agent angiographic images in a blood vessel having a contrast agent; based on contrast-agent angiographic images, generating a reconstructed geometry object of the blood vessel and estimating a blood flow in the blood vessel; determining output parameters based on the values of the blood pressure and the blood flow, by implementing a physical model of blood distribution using the reconstructed geometry object; and generating a reconciled hemodynamic parameter based on the output parameters. The reconciled hemodynamic parameter is adjusted based on measurements performed at various blood vessel states.

A method for characterizing a blood vessel includes receiving anatomical information of the blood vessel and receiving four-dimensional flow data of multiple blood vessels from multiple subjects. The method further includes, using the four-dimensional flow data to train a flow model to determine blood vessel properties, and using the anatomical information of the blood vessel as an input to the trained flow model to estimate one or more properties of the blood vessel.

The present disclosure provides apparatus and methods to both infer stent expansion (vessel expansion or compliance) and probability of procedural success (vessel patency) from pretreatment diagnostic imaging at the point-of-care and also train an inference model to generate such an inference, thus allowing a physician to choose with greater certainty an optimal treatment tool and treatment protocol for treating a vessel of a patient.

Rapid diagnosis of acute ischemic stroke (AIS), and endovascular treatmentthat is mechanical removal of the clot with endovascular devicestogether leads to better outcomes. Systems and methods for decreasing the time to diagnosis are described that include imaging techniques conducted within an angiography suite using two rotating x-ray tubes that acquire x-ray images from a limited number of projection angles and that are processed to provide meaningful diagnostic data.

Image data of contrast dye in a vessel in a body is acquired for determining flow rate. Based on images acquired under and angle relative to one another, a three-dimensional model of the vessel is constructed and length of a vessel section is determined. A series of at least two images, apart in time, under a first angle is assessed for determining progress of a front of the dye bolus in the vessel in time. In the images, the vessel may be segmented and brightness or a derivative thereof over at least one of time and distance may be assessed to determine the front. Progress distance is mapped to the three-dimensional model, for example by mapping segments from the image to the model, to obtain a more accurate and natural distance of progress over time. Flow rate is determined by natural progress distance over progress time.