Described herein are technologies for facilitating reconstruction of flow data. In accordance with one aspect, the framework receives a four-dimensional projection image dataset and registers one or more pairs of temporally adjacent projection images in the image dataset. Two-dimensional flow maps may be determined based on the registered pairs. The framework may then sort the two-dimensional flow maps according to heart phases, and reconstruct a three-dimensional flow map based on the sorted two-dimensional flow maps.

An image processing apparatus determines an exceptional frame of a plurality of frames forming a moving image captured by an ophthalmic apparatus including an aberration correction device, and applies image processing of a blood vessel area for a frame, among the plurality of frames, which has not been determined as the exceptional frame.

In one implementation, an apparatus estimates body core temperature from an infrared measurement of an external source point using a cubic relationship between the body core temperature and the measurement of an external source point is described, estimates temperature from a digital infrared sensor and determines vital signs from a solid-state image transducer, or determines vital signs from a solid-state image transducer and estimates body core temperature from an infrared measurement of an external source point using a cubic relationship between the body core temperature and the measurement of an external source point; after which the estimated and/or determined information is transmitted to an external database.

Systems and methods are disclosed for assessing a risk of disease. One method includes obtaining an anatomic model associated with a target anatomy; modeling, using a processor, an injection of one or more virtual contrast agents into the anatomic model; performing a simulation of flow of blood and the one or more virtual contrast agents through the anatomic model; and computing one or more characteristics of concentration associated with the one or more virtual contrast agents at one or more locations in the anatomic model based on the simulation.

A photoacoustic apparatus includes a processing unit configured to obtain a first image data group corresponding to a first wavelength, obtain first position shift information corresponding to irradiation timing of the light having the first wavelength on the basis of the first image data group corresponding to the first wavelength, obtain a second image data group corresponding to a second wavelength different from the first wavelength, obtain second position shift information corresponding to irradiating timing of the light having the second wavelength on the basis of the second image data group corresponding to the second wavelength, and obtain third position shift information on the basis of the first position shift information and the second position shift information.

A medical image processing method of determining a fractional flow reserve through a stenosis of a coronary artery from medical image data is disclosed. The medical image data comprises a set of images of a coronary region of a patient. The coronary region includes the stenosis. The method comprises: reconstructing a three dimensional model of a coronary artery tree of the patient from the medical image data; determining stenosis dimensions from the three dimensional model of the coronary artery tree of the patient; simulating blood flow in the three dimensional model of the coronary artery tree of the patient to determine modeled flow rates; using an analytical model depending on the stenosis dimensions to predict a modeled pressure drop over the stenosis from the modeled flow rates; and determining the fractional flow reserve through the stenosis from the modeled pressure drop.

According to one embodiment, a structuring circuitry temporarily structures a dynamical model of analysis processing based on the time-series medical image. The identification circuitry identifies a latent variable of the dynamical model so that at least one of a prediction value of a blood vessel morphology and a prediction value of a bloodstream based on the temporarily structured dynamical model is in conformity with at least one of an observation value of the blood vessel morphology and an observation value of the bloodstream measured in advance. The analysis circuitry analyzes the dynamical model to which the identified latent variable is allocated.

A method of determining a required blood flow includes obtaining morphological information of a coronary artery in a cardiac image, segmenting the cardiac image into at least one myocardial region based on the morphological information of the coronary artery, and determining a blood flow required for each of the at least one myocardial region.

A method of determining a residue function in brain tissue, from medical images acquired after introducing contrast agent into the blood, correcting for contrast agent leakage into the tissue, comprising: a) providing time signals indicating contrast agent concentration for leaking voxels, a time signal indicating average contrast agent concentration for non-leaking voxels, and an artery input function, all derived from the images; b) fitting the leaking voxel signals to a model time signal with a free parameter for leakage rate, the model assuming that the concentration of contrast agent perfusing through a leaking voxel has a same shape as a function of time as the average contrast agent concentration for non-leaking voxels; c) using the best fit leakage rate parameter to make a correction for leakage to the leaking voxel signals; and d) deconvolving the corrected signals from the artery input function, to find the residue function.

The present technology relates to an information processing apparatus, an information processing method, and a program that can improve the estimation accuracy of a motion amount of an object.

A cross-correlation analysis unit performs a cross-correlation analysis between a first image and a second image obtained by capturing the same object as an object of the first image before the first image, a first motion estimation unit estimates a first motion amount corresponding to a motion blur in the first image, and a second motion estimation unit estimates a second motion amount different from the first motion amount between the first image and the second image on the basis of a result of the cross-correlation analysis and an estimation result of the first motion amount. The present technology can be applied to, for example, an apparatus for measuring a pulse.