A61B6/563

Blood vessel model display

A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains image data rendering a blood vessel of a patient. The processing circuitry performs a fluid analysis on the obtained image data and calculates an index value related to a blood flow in the blood vessel with respect to each of a plurality of positions in the blood vessel. With respect to the index values to be calculated, the processing circuitry selects a position in which a first value is to be obtained from among the plurality of positions or selects a value serving as the first value from among the index values exhibited in positions. The processing circuitry causes a display to display the first value in a predetermined display region thereof used for displaying the first value.

Image reconstruction
11583234 · 2023-02-21 · ·

Methods, devices, electronic devices, apparatus, and systems for image reconstruction are provided. In one aspect, a method includes: obtaining first Computed Tomography (CT) data collected by a CT device performing a first contrast medium tracking scan on a target object based on a first reciprocating scanning sequence, obtaining second CT data by the CT device performing a second contrast medium tracking scan on the target object based on a second reciprocating scanning sequence in response to determining that a CT value in the first CT data exceeds a CT value threshold, and reconstructing CT images of the target object by using the first CT data and the second CT data respectively.

MEDICAL INFORMATION PROCESSING APPARATUS, X-RAY CT APPARATUS, AND MEDICAL INFORMATION PROCESSING METHOD

A medical information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains image data rendering a blood vessel of a patient. The processing circuitry performs a fluid analysis on the obtained image data and calculates an index value related to a blood flow in the blood vessel with respect to each of a plurality of positions in the blood vessel. With respect to the index values to be calculated, the processing circuitry selects a position in which a first value is to be obtained from among the plurality of positions or selects a value serving as the first value from among the index values exhibited in positions. The processing circuitry causes a display to display the first value in a predetermined display region thereof used for displaying the first value.

Biological information detection apparatus that includes a light source projecting a near-infrared pattern onto an object and an imaging system including first photodetector cells detecting near-infrared wavelength light and second photodetector cells detecting visible wavelength light

A biological information detection apparatus includes: a light source which projects a pattern of near-infrared light onto an object including a living body; an imaging system which includes first photodetector cells detecting light in a near-infrared wavelength range and second photodetector cells detecting light in a visible wavelength range, and generates a first image signal representing a first image, which is an image taken in the near-infrared wavelength range, of the object on which the pattern is projected, and a second image signal representing a second image of the object taken in the visible wavelength range; and a calculator which calculates biological information concerning the living body using at least one selected from the group consisting of the first and second image signals.

DYNAMIC SELF-LEARNING MEDICAL IMAGE METHOD AND SYSTEM
20230033601 · 2023-02-02 · ·

A method and system for creating a dynamic self-learning medical image network system, wherein the method includes receiving, from a first node initial user interaction data pertaining to one or more user interactions with the one or more initially obtained medical images; training a deep learning algorithm based at least in part on the initial user interaction data received from the node; and transmitting an instance of the trained deep learning algorithm to the first node and/or to one or more additional nodes, wherein at each respective node to which the instance of the trained deep learning algorithm is transmitted, the trained deep learning algorithm is applied to respective one or more subsequently obtained medical images in order to obtain a result.

Assessment of labeled probes in a subject
11484278 · 2022-11-01 · ·

Wearable apparatus and method of using same for tracking a labeled probe in a subject are disclosed.

Radiation systems for radiation treatment and imaging

A radiation system is provided. The radiation system may include a bore accommodating an object, a rotary ring, a first radiation source and a second radiation source mounted on the rotary ring and a processor. The first radiation source may be configured to emit a first cone beam toward a first region of the object. The second radiation source may be configured to emit a second beam toward a second region of the object, the second region including at least a part of the first region. The processor may be configured to obtain a treatment plan of the object, the treatment plan including parameters associated with radiation segments. The processor may be further configured to control an emission of the first cone beam and/or the second beam based on the parameters associated with the radiation segments to perform a treatment and a 3-D imaging simultaneously.

Radiographic image capturing system

A radiographic image capturing system is described. If a hardware processor determines that an image processor and an image analyzing unit are capable of sharing image data via an identical memory, the image processor stores image data in the memory and the image analyzing unit analyzes the image data with reference to the memory. If the hardware processor determines that the image processor and the image analyzing unit can send and receive the data via a wired network, the image processor transfers the data to the image analyzing unit, and the image analyzing unit analyzes the data. If the hardware processor determines that the image processor and the image analyzing unit can send and receive the data via a wireless network, the image processor compresses the data or decimates partial data and transfers the data to the image analyzing unit, and the image analyzing unit decompresses and analyzes the data.

CONCURRENT DISPLAY OF HEMODYNAMIC PARAMETERS AND DAMAGED BRAIN TISSUE
20230036757 · 2023-02-02 ·

Images can be generated with overlays indicating an amount of brain tissue damage based on the disruption of blood supply. Imaging data can be analyzed to determine perfusion parameters with respect to regions of the brain of an individual. The thresholds for the perfusion parameters with respect to the presence of damaged brain tissue can be based on a period of time elapsed since the onset of a biological condition disrupting blood flow to one or more regions of the brain of the individual. The imaging data can also be analyzed to determine measures of hypodensity with respect to regions of the brain of the individual. A likelihood of the measures of hypodensity corresponding to damaged brain tissue can also be determined based on the period of time elapsed since the onset of the biological condition.

Radiation image imaging apparatus, electronic device, wireless communication system, and storage medium
11484281 · 2022-11-01 · ·

A radiation image imaging apparatus which generates an image from irradiated radiation, the radiation image imaging apparatus including: a communication unit which directly communicates by wireless communication with an information processing apparatus, which performs wireless communication, and receives installation setting information transmitted from the information processing apparatus to perform a predetermined setting at a time of an installation; and a hardware processor which performs the predetermined setting of the radiation image imaging apparatus in accordance with the installation setting information received by the communication unit.