A dynamic analysis apparatus includes a hardware processor. The hardware processor is configured to perform the following, calculate a prediction rate multiplied by a respiratory function value of the subject in predicting the respiratory function value when an exclusion target portion is excluded; obtain input of the exclusion target portion in an anatomical unit from the input unit, based on the anatomical unit, specify a partial region of the lung field in which a characteristic amount relating to a respiratory function in the plurality of frame images is calculated, calculate the characteristic amount related to the respiratory function in the partial region of the lung field specified from the plurality of frame images and the characteristic amount related to the respiratory function of an entire lung field, and calculate the prediction rate based on a characteristic amount ratio which is a ratio of the two calculated characteristic amounts.

Methods and systems are provided for adaptive scan control. In one embodiment, a method includes upon a first contrast injection, processing acquired projection data of a subject to measure a contrast signal of the first contrast injection, estimating a time when a venous return to baseline (VRTB) of the first contrast injection is to occur based on the contrast signal, and commanding initiation of a second contrast injection at the estimated time.

Methods and systems are provided for adaptive scan control. In one embodiment, a method includes, upon an injection of a contrast agent, performing a plurality of perfusion acquisitions of a first anatomical region of interest (ROI) of a subject with the imaging system, processing projection data of the first anatomical ROI obtained from the plurality of perfusion acquisitions to measure a contrast signal of the contrast agent, performing a plurality of angiography acquisitions, each angiography acquisition performed at a respective time determined based on the contrast signal, and performing one or more additional perfusion acquisitions between each angiography acquisition.

The present invention relates to a determination of a physiological functional parameter of a living being. Ultrasound image data and Doppler image data of a vessel structure are provided (101) and registered (102). The vessel structure is segmented (103) to generate (104) a representation of the vessel structure. The flow velocity inside a vessel of the vessel structure is determined (105) based on the Doppler image data. A physiological functional parameter determination model defining a value of a functional physiological parameter in dependence of a representation of a vessel structure and a flow velocity inside a vessel of the vessel structure is used (106) to determine (107) the physiological functional parameter inside the vessel of the vessel structure. The representation of the vessel structure and/or the flow velocity values can be constantly updated upon receipt of further input images to provide an estimation of the functional physiological parameter in real-time.

Systems and methods for image reconstruction are provided. The methods may include obtaining a first image sequence of a subject and obtaining an initial input function that relates to a concentration of an agent in blood vessels of the subject with respect to time. The first image sequence may include one or more first images generated based on a first portion of scan data of the subject. The methods may further include, for each of a plurality of pixels in the one or more first images, determining at least one correction parameter associated with the pixel and determining, based on the initial input function and the at least one correction parameter, a target input function The methods may further include generating one or more target image sequences related to one or more dynamic parameters based at least in part on a plurality of target input functions.

A method for visualization may include: obtaining data of a first perfusion measure of myocardial tissues of a patient; obtaining data of a geometry of a coronary artery of the patient; obtaining data of a second perfusion measure of the coronary artery; obtaining data of a flow impediment measure along the coronary artery based on the data of the second perfusion measure of the coronary artery; and visualizing, on a single image, the first perfusion measure of the myocardial tissues and the coronary artery, the coronary artery being overlaid with the first perfusion measure on the single image, the visualized coronary artery representing the geometry of the coronary artery and the flow impediment measure along the coronary artery.

Devices, systems, and methods for visually depicting a vessel and evaluating a physiological condition of the vessel are disclosed. One embodiment includes obtaining, at a first time, a first image of the vessel, the image being in a first medical modality, and obtaining, at a second time subsequent to the first time, a second image of the vessel, the image being in the first medical modality. The method also includes spatially co-registering the first and second images and outputting a visual representation of the co-registered first and second images on a display. Further, the method includes determining a physiological difference between the vessel at the first time and the vessel at the second time based on the co-registered first and second images, and evaluating the physiological condition of the vessel of the patient based on the determined physiological difference.

The invention relates to x-ray imaging technology as well as image post-processing. Particularly, the present invention relates to post-processing of perfusion image data acquired by an x-ray imaging apparatus by absolutely or relatively normalizing perfusion image data to allow a preferred comparison of the image data, both with regard to different acquisitions as well as different patients. To allow normalization of perfusion image data, it may be desirable to know the amount of contrast agent injected, which remains in a coronary. Subsequently, image parameters may be adapted or normalized based on the known amount of contrast agent within the coronary for normalization of perfusion image data. To obtain a precise amount of injected contrast agent, the injected volume of contrast agent flowing through a defined region or section of a vessel may be estimated. Said injected volume of contrast agent may thus be deduced from the estimation of the total volume flow at this location. Accordingly, a method (10) is provided for dynamic normalization of data for perfusion comparison and quantification, comprising the steps of determining (20) a total volume flow or an amount of a contrast agent in a blood vessel and normalizing (34) perfusion data based on the determined total volume flow or amount of contrast agent.

A method of monitoring changes in oxygen saturation of a subject by analysing a three colour channel video image of the exposed skin of the subject. Within each colour channel a normalised signal obtained by dividing the intensity signal by its mean value, and the normalised signals are averaged across plural regions of interest within the exposed skin area image of the subject. Regions of interest are selected on the basis of the signal-to-noise ratios for the heart rate and breathing rate components. A single representative waveform for each colour channel is obtained by signal averaging and the ratio of the amplitudes of the representative waveforms from two different colour channels, e.g. blue and red, is taken. The changes in the ratio of amplitudes is output as a measure of changes in blood oxygen saturation.

Systems and methods are disclosed for predicting coronary plaque vulnerability, using a computer system. One method includes acquiring anatomical image data of at least part of the patient's vascular system; performing, using a processor, one or more image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical image data; predicting, using the processor, a coronary plaque vulnerability present in the patient's vascular system, wherein predicting the coronary plaque vulnerability includes calculating an adverse plaque characteristic based on results of the one or more of image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis of the anatomical image data; and reporting, using the processor, the calculated adverse plaque characteristic.