G06T2207/30104

Method and apparatus for correcting blood flow velocity on the basis of interval time between angiogram images

The present disclosure provides a method for correcting a resting blood flow velocity on the basis of an interval time between angiogram images, comprising: acquiring, in an angiography state, an average blood flow velocity V.sub.h from a coronary artery inlet to a distal end of a coronary artery stenosis (S100); acquiring a time difference t between start times of two adjacent bolus injections of contrast agent (S200); obtaining a correction coefficient K according to the time difference t (S300); obtaining a resting blood flow velocity V.sub.j according to the correction coefficient K and the average blood flow velocity V.sub.h (S400), as well as an apparatus configured for implementing the above method. The disclosure obtains the resting blood flow velocity V.sub.j according to the correction coefficient K and the average blood flow velocity V.sub.h.

Automated analysis of image data to determine fractional flow reserve
12211208 · 2025-01-28 · ·

A system and method for analysis of a vessel automatically detects a pathology in a first image of the vessel and attaches a virtual mark to the pathology in the first image. The system may detect the same pathology in a second image of the vessel, based on the virtual mark, and may then provide analysis (e.g., determine an FFR value) of the pathology based on the pathology detected in the first and second images.

Rendering method and apparatus

A medical imaging apparatus comprises processing circuitry configured to: receive three-dimensional flow data, wherein the three-dimensional flow data comprises data acquired by medical imaging of a subject; perform a first intensity projection to process first flow data corresponding to a first region in the three-dimensional flow data having a first direction of flow, thereby obtaining a first color; perform a second, independent intensity projection to process second flow data corresponding to a second region in the three-dimensional flow data having a second direction of flow which is different from the first direction of flow, thereby obtaining a second color; combine the first color and the second color to obtain a combined color; and generate volume rendering image data based on the combined color.

Systems and methods for video-based patient monitoring during surgery

The present invention relates to the field of medical monitoring, and in particular non-contact monitoring of one or more physiological parameters in a region of a patient during surgery. Systems, methods, and computer readable media are described for generating a pulsation field and/or a pulsation strength field of a region of interest (ROI) in a patient across a field of view of an image capture device, such as a video camera. The pulsation field and/or the pulsation strength field can be generated from changes in light intensities and/or colors of pixels in a video sequence captured by the image capture device. The pulsation field and/or the pulsation strength field can be combined with indocyanine green (ICG) information regarding ICG dye injected into the patient to identify sites where blood flow has decreased and/or ceased and that are at risk of hypoxia.

INFERENCE APPARATUS, ULTRASOUND DIAGNOSTIC APPARATUS, TRAINING APPARATUS, INFERENCE METHOD, DISPLAY METHOD, AND PROGRAM
20250032094 · 2025-01-30 · ·

Provided is an inference apparatus according to the present disclosure including: a hardware processor that: acquires ultrasound image data on an ultrasound image generated based on a reflected wave of ultrasound transmitted to a subject; and inputs the ultrasound image data, as data to be inferred, to a trained model and performs inference on a nerve root in the ultrasound image based on output data outputted from the trained model.

STRUCTURED REPRESENTATIONS FOR INTERPRETABLE MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGING

Systems and method can be provided to transform input data (e.g., CT imaging data) into structured representations to create interpretable models. Another aspect of the current invention can be generating labels synthetically to apply to real data according to a biologically-based labelling technique to guide the model training with a priori mechanistic knowledge.

Method and system for image processing to determine patient-specific blood flow characteristics
09855105 · 2018-01-02 · ·

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Vascular flow assessment

A method for vascular assessment is disclosed. The method comprises receiving a plurality of 2D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.

Method and system for noise cleaning of photoplethysmogram signals

A method and system is provided for noise cleaning of photoplethysmogram signals. The method and system is disclosed for noise cleaning of photoplethysmogram signals for estimating blood pressure of a user; wherein photoplethysmogram signals are extracting from the user; the extracted photoplethysmogram signals are up sampled; the up sampled photoplethysmogram signals are filtered; uneven baseline drift of each cycle is removed from the up sampled and filtered photoplethysmogram signals; outlier cycles of the photoplethysmogram signals are removed and remaining cycles of the photoplethysmogram signals are modeled; and time domain features are extracted from originally extracted and modeled photoplethysmogram signals for estimating blood pressure of the user.

Hand-held medical-data capture-device interoperation with electronic medical record systems

A non-touch thermometer to measure a temperature that includes a microprocessor, a wireless communication subsystem that is operably coupled to the microprocessor and that is operable to transmit a representation of the temperature, a battery operably coupled to the microprocessor, a single button operably coupled to the microprocessor, a digital infrared sensor operably coupled to the microprocessor with no analog-to-digital converter operably coupled between the digital infrared sensor and the microprocessor, the digital infrared sensor having only digital readout ports, and a display device operably coupled to the microprocessor, wherein the microprocessor is operable to receive from the digital readout ports a digital signal that is representative of an infrared signal detected by the digital infrared sensor and the microprocessor is operable to determine the temperature from the digital signal that is representative of the infrared signal, wherein the non-touch thermometer does not support specific discovery protocols or domain name service.