This computer-implemented method allows assessing the shear elasticity modulus of a flexible tube, such as a blood vessel. In the field of medicine, this allows assessing whether a blood vessel is at risk of breakage or tearing. In the case of an artificial tube to be implanted in a patient's body, this allows verifying that this tube is compatible with the patient's body. The method includes the following further steps: a) obtaining (1002) a first dataset relating to spatiotemporal deformations of the tube; b) detecting and storing (1004) a wall inner surface of the tube and its diameter (D); c) identifying (1006) a number of transverse sections (Sij) of the tube; d) computing (1008) an average particle velocity (Vij) over each section; e) computing (1010) a wave propagation speed (C2) of an antisymmetric wave (W2); f) based on the wave propagation speed (C2) and on the diameter (D), assessing (1012) the shear elasticity modulus () of the tube.

A medical data processing device according to an embodiment includes processing circuitry. The processing circuitry acquires estimated data related to a state of a biological organ at a first timing, and actually measured data indicating the state of the biological organ at the first timing. The processing circuitry calculates a parameter based on the estimated data and the actually measured data. The processing circuitry estimates a state of the biological organ in a predetermined time phase at a second timing different from the first timing based on the parameter and the estimated data in the predetermined time phase.

An apparatus for performing a vascular assessment is disclosed. The apparatus creates a three-dimensional model that is representative of a coronary vessel tree of a patient based on at least two angiographic images. The apparatus estimates first blood flow resistance values for points along at least some vascular segments of the coronary vessel tree using vascular geometrical dimensions of the three-dimensional model. The apparatus also estimates second blood flow resistance values for the points along the at the least some vascular segments of the coronary vessel tree using a volume of a crown of the vascular segment downstream from the respective point. The apparatus determines fractional flow reserve (FFR) by calculating a ration of the first blood flow resistance values and the second blood flow resistance values at each of the points along the at least some vascular segments of the coronary vessel tree.

A method for evaluating image data of a patient showing a target region to be treated with an embolizing agent includes providing a three-dimensional time-resolved image data set of a vascular system portion of the patient. A structural parameter that describes a geometry of at least the vascular system portion and/or a basic information item including dynamic parameters that describe hemodynamics in the vascular system portion is established from the image data set by an analysis algorithm. An embolization information item describing a plurality of embolizing agents that are to be used is provided. An actuation information item describing a suitable composition of the plurality of embolizing agents, for an intervention facility used for carrying out the treatment is established by an establishing algorithm that uses the basic information item and the embolization information item, and the actuation information item is provided to the intervention facility.

Systems and methods of predicting microcalcification activity in a vascular vessel comprising either an artery or a vein, comprising the steps of: (a) measuring patient data comprising one or more of: the existence of and/or quantity of coronary plaques or visible markers of disease in a vascular tissue sample; the existence of and/or quantity of healthy tissue in the vascular tissue sample; one or more features that define an abnormal hemodynamic environment in a vessel; one or more geometric features that are associated with vascular remodeling and which influence hemodynamics in a vessel, and/or one or more material properties that influence vascular hemodynamics; and (b) calculating the microcalcification activity in the vessel as a function of the measurements taken in Step (a).

Methods for characterizing fluids from a patient. A time series of images of a conduit are received, and a conduit image region in the images is identified. The conduit image region may include a shallow section and/or a deep section. The shallow section includes a dimension of the conduit along an optical axis of the camera such that opacity of the fluids from redness associated with red blood cells or hemoglobin is limited to permit pixel color visualization in the images. The deep section includes a dimension is along the optical axis such that the redness provides a minimum opacity to permit the pixel color visualization. A concentration of a blood component of the fluids is determined based on the pixel color visualization. A volume of blood passing through the conduit is estimated based on the estimated concentration of the blood component and an estimated volumetric flow rate.

Provided herein are imaging systems for a patient including an imaging probe and an imaging assembly. The imaging probe includes an elongate shaft with a rotatable optical core positioned within a lumen of the elongate shaft. The imaging probe further includes an optical assembly to direct light to tissue to be imaged and to collect reflected light from the tissue to be imaged. The system further includes an imaging assembly optically coupled to the imaging probe. The system further includes a processing unit with a processor and a memory coupled to the processor, and the memory stores instructions for the processor to perform an algorithm. The system records image data based on the reflected light collected by the optical assembly, such that the image data comprises data collected from a segment of a blood vessel during a pullback procedure. The algorithm can analyze the image data.

An image processing method is provided. The image processing method includes: setting a first analysis point and a second analysis point on a fundus image so as to be symmetrical about a reference line; finding a first blood vessel running direction at the first analysis point and finding a second blood vessel running direction at the second analysis point; and comparing the first blood vessel running direction against the second blood vessel running direction.

This disclosure relates to systems, methods, and devices for plaque analysis, vessel and fluid flow analysis, and/or risk determination or prediction thereof. Some embodiments relate to determining fractional flow reserve (FFR) values. Some embodiments relate to determining FFR values using 3D-printed models. Some embodiments relate to identifying thin cap fibroatheroma based on analysis of computed tomography (CT) imaging. Some embodiments relate adjusting calcified plaque thresholds for CT images to address effects of calcium blooming.

Provided is a preoperative support apparatus that includes at least one hardware processor. The at least one hardware processor acquires a dynamic image analysis result of a patient and patient information on the patient and outputs preoperative support information for an operation based on the acquired dynamic image analysis result and the acquired patient information.