An ultrasound diagnostic apparatus (1) includes a first vascular wall detection unit (10) that detects a vascular wall in a minor axis direction by analyzing a B-mode image including a minor axis image of a blood vessel, a first blood vessel diameter calculation unit (11) that calculates a first blood vessel diameter from the vascular wall in the minor axis direction, a second vascular wall detection unit (12) that detects a vascular wall in a major axis direction by analyzing the B-mode image including a major axis image of the blood vessel, a second blood vessel diameter calculation unit (13) that calculates a second blood vessel diameter from the vascular wall in the major axis direction, a blood flow velocity calculation unit (15) that calculates a blood flow velocity based on Doppler data in a Doppler gate set on the B-mode image, and a blood flow rate measurement unit (16) that measures a blood flow rate based on the vascular wall in the major axis direction or the minor axis direction and the blood flow velocity, in which in a case where the second blood vessel diameter is within a determined range with respect to the first blood vessel diameter, the blood flow rate is automatically measured.

An ultrasound diagnostic apparatus (1) includes a first vascular wall detection unit (10) that detects a vascular wall in a minor axis direction by analyzing a B-mode image including a minor axis image of a blood vessel, a first blood vessel diameter calculation unit (11) that calculates a first blood vessel diameter from the vascular wall in the minor axis direction, a second vascular wall detection unit (12) that detects a vascular wall in a major axis direction by analyzing the B-mode image including a major axis image of the blood vessel, a second blood vessel diameter calculation unit (13) that calculates a second blood vessel diameter from the vascular wall in the major axis direction, a blood flow velocity calculation unit (15) that calculates a blood flow velocity based on Doppler data in a Doppler gate set on the B-mode image, and a blood flow rate measurement unit (16) that measures a blood flow rate based on the vascular wall in the major axis direction or the minor axis direction and the blood flow velocity, in which in a case where the second blood vessel diameter is within a determined range with respect to the first blood vessel diameter, the blood flow rate is automatically measured.

According to one embodiment, an ultrasound diagnosis apparatus includes an image processing circuit and a processing circuit. The image processing circuit generates an ultrasound image. The processing circuit receives a medical image acquired by another medical image diagnosis apparatus, and aligns the ultrasound image and the medical image. The processing circuit has a function of recognizing identification information held by the medical image when the ultrasound image and the medical image are displayed side by side on a display. The processing circuit also has a function of retrieving diagnostic protocol information corresponding to the identification information and displaying it on the display, and a function of performing examinations and processes based on the diagnostic protocol information displayed.

According to one embodiment, an ultrasound diagnosis apparatus includes an image processing circuit and a processing circuit. The image processing circuit generates an ultrasound image. The processing circuit receives a medical image acquired by another medical image diagnosis apparatus, and aligns the ultrasound image and the medical image. The processing circuit has a function of recognizing identification information held by the medical image when the ultrasound image and the medical image are displayed side by side on a display. The processing circuit also has a function of retrieving diagnostic protocol information corresponding to the identification information and displaying it on the display, and a function of performing examinations and processes based on the diagnostic protocol information displayed.

A fluid control device includes an interface to a remote fluid monitoring sensor that detects fluid flow in a patient. In some embodiments, a processor within the fluid delivery device is programmed to adjust the delivery or withdrawal of fluids based on the fluid flow signals provided by the sensor. In some embodiments, the fluid control device can display and/or record fluid flow signals thereby acting as a hemodynamic monitor.

A fluid control device includes an interface to a remote fluid monitoring sensor that detects fluid flow in a patient. In some embodiments, a processor within the fluid delivery device is programmed to adjust the delivery or withdrawal of fluids based on the fluid flow signals provided by the sensor. In some embodiments, the fluid control device can display and/or record fluid flow signals thereby acting as a hemodynamic monitor.

To uniformly extract a secondary flow based on quantitative calculation even in a complicated blood flow in a heart chamber or a blood vessel. There is provided a secondary flow detection device, including: a degree-of-swirl map calculation unit that obtains a velocity vector map calculated based on an echo signal reflected by an inspection target, calculates, as a value indicating a degree of a spatial change of a velocity vector, a degree of swirl based on the velocity vector map, and calculates, as a degree-of-swirl map, a spatial distribution of an iso-degree-of-swirl line obtained by connecting the degree of swirl of an equal value; a secondary flow candidate extraction unit that extracts, as a secondary flow candidate, an iso-degree-of-swirl line satisfying a predetermined condition among the iso-degree-of-swirl line indicated in the degree-of-swirl map; a feature amount calculation unit that calculates a feature amount of the velocity vector inside the secondary flow candidate; a secondary flow determination unit that determines whether the secondary flow candidate is a desired secondary flow based on the feature amount; and a secondary flow extraction unit that extracts and outputs the secondary flow determined by the secondary flow determination unit.

To uniformly extract a secondary flow based on quantitative calculation even in a complicated blood flow in a heart chamber or a blood vessel. There is provided a secondary flow detection device, including: a degree-of-swirl map calculation unit that obtains a velocity vector map calculated based on an echo signal reflected by an inspection target, calculates, as a value indicating a degree of a spatial change of a velocity vector, a degree of swirl based on the velocity vector map, and calculates, as a degree-of-swirl map, a spatial distribution of an iso-degree-of-swirl line obtained by connecting the degree of swirl of an equal value; a secondary flow candidate extraction unit that extracts, as a secondary flow candidate, an iso-degree-of-swirl line satisfying a predetermined condition among the iso-degree-of-swirl line indicated in the degree-of-swirl map; a feature amount calculation unit that calculates a feature amount of the velocity vector inside the secondary flow candidate; a secondary flow determination unit that determines whether the secondary flow candidate is a desired secondary flow based on the feature amount; and a secondary flow extraction unit that extracts and outputs the secondary flow determined by the secondary flow determination unit.

The invention provides a system for determining a real-time valve function of a subject. The system comprises a processing unit adapted to: obtain a numerical model of a cardiac system, the numerical model being a 0D numerical model or a 1D numerical model, wherein the numerical model is adapted to receive physiological data as an input and output a simulated function of the cardiac system in real-time, wherein the simulated function of the cardiac system comprises a simulated function of a valve within the cardiac system. The processor is further adapted to obtain a continuous stream of physiological data from the subject; provide the continuous stream of physiological data as an input to the numerical model of the cardiac system, thereby generating a simulated real-time function of the cardiac system of the subject; and determine a real-time valve function of the subject based on the simulated real-time function of the cardiac system of the subject.

Embodiments include a patch-type, ultrasound sensor system and method to monitor the function and motion of a patients anatomical structure, comprising processing at least one received ultrasound image using one or more analytical tools, including radon transformation, higher-order spectra techniques, and/or active contour models, to generate at least one processed ultrasound image; inputting the at least one processed ultrasound image into a deep learning Convolutional Neural Network to obtain an automatic classification result selected from two or more classes indicating the functional state of the anatomical structure. The patch-type, ultrasound sensor system can communicate via a wireless or wired connection. The monitoring can be at rest or during surgery or other procedure or whilst the subject is exposed to any physiological stressors as part of medical examinations, and can be adapted for use in monitoring the function of body structures including the heart, blood vessels, lungs or joints.