Systems and methods for automated physiological parameter estimation from ultrasound image sequences are provided. An ultrasound system includes an ultrasound imaging device configured to acquire a sequence of ultrasound images of a patient. An anatomical structure recognition module includes processing circuitry configured to receive the acquired sequence of ultrasound images from the ultrasound imaging device, and automatically recognize an anatomical structure in the received sequence of ultrasound images. A physiological parameters estimation module includes processing circuitry configured to automatically estimate one or more physiological parameters associated with the recognized anatomical structure.

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.

A medical system (1) includes first light irradiation means (11) for irradiating an image capturing target with coherent light, image capturing means (12) for capturing a speckle image obtained from scattered light caused by the image capturing target irradiated with the coherent light, speckle contrast calculation means (1312) for calculating a speckle contrast value for each pixel on the basis of the speckle image, motion detection means (1311) for detecting motion of the image capturing target, speckle image generation means (1313) for generating a speckle contrast image on the basis of the speckle contrast value and the motion of the image capturing target detected by the motion detection means, and display means (14) for displaying the speckle contrast image.

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.

Image rotation in an endoscopic fluorescence imaging system is described. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a rotation sensor for detecting an angle of rotation of a lumen relative to a handpiece of an endoscope. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises electromagnetic radiation having a wavelength from about 770 nm to about 790 nm and/or from about 795 nm to about 815 nm.

Methods, systems, devices and apparatus for vascular calcification detection are provided. In one aspect, a vascular calcification detection method includes: obtaining a three-dimensional non-angiographic image, obtaining one or more to-be-detected sub-regions included in each of at least two to-be-detected regions in the three-dimensional non-angiographic image by inputting the three-dimensional non-angiographic image into a pre-trained region identification network, the to-be-detected regions including an aortic region and a coronary region; for each of the to-be-detected regions, obtaining a calcification region in the to-be-detected region by threshold segmentation; based on the calcification region and the one or more to-be-detected sub-regions included in the to-be-detected region, determining a corresponding calcification sub-region in each of the one or more to-be-detected sub-regions; and displaying the corresponding calcification sub-region in each of the one or more to-be-detected sub-regions in the three-dimensional non-angiographic image.

Minimizing image sensor input/output pads in a pulsed laser mapping imaging system is disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a plurality of bidirectional pads comprising an output state for issuing data and an input state for receiving data. The system includes a controller configured to synchronize timing of the emitter and the image sensor. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises a laser mapping pattern.

The present invention relates to a device (1) for fractional flow reserve determination. The device (1) comprises a model generator (10) configured to generate a three-dimensional model (3DM) of a portion of an imaged vascular vessel tree (VVT) surrounding a stenosed vessel segment (SVS), based on a partial segmentation of the imaged vascular vessel tree (VVT). Further, the device comprises an image processor (20) configured to calculate a blood flow (Q) through the stenosed vessel segment (SVS) based on an analysis of a time-series of X-ray images of the vascular vessel tree (VVT). Still further, the device comprises a fractional-flow-reserve determiner (30) configured to determine a fractional flow reserve (FFR) based on the three-dimensional model (3DM) and the calculated blood flow.

The present disclosure provides a method and system for processing multi-modality images. The method may include obtaining multi-modality images; registering the multi-modality images; fusing the multi-modality images; generating a reconstructed image based on a fusion result of the multi-modality images; and determining a removal range with respect to a focus based on the reconstructed image. The multi-modality images may include at least three modalities. The multi-modality images may include a focus.

Image rotation in an endoscopic fluorescence imaging system is described. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a rotation sensor for detecting an angle of rotation of a lumen relative to a handpiece of an endoscope. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises electromagnetic radiation having a wavelength from about 770 nm to about 790 nm and/or from about 795 nm to about 815 nm.