An image processing apparatus includes a moving image acquiring unit that acquires a moving image including a plurality of frame images a respiratory information acquiring unit that performs a respiratory information acquiring processing of acquiring respiratory information synchronized at times at which the frame images are captured, a blood-flow-restricted time determining unit that performs a blood-flow-restricted time determining processing of determining, on the basis of the respiratory information, a blood-flow-restricted time indicating a time at which the blood flow of the target region is assumed to be restricted due to respiration, and a blood flow analysis correcting unit that performs a blood-flow-analysis content correcting processing of excluding the frame image captured at the blood-flow-restricted time from targets for blood flow analysis or decreasing the blood-flow-analysis importance of the frame image compared with another time period.

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.

The method comprises: a) receiving a plurality of imaging signals of the object over a period of time; b) measuring the signal intensity in each of the plurality of imaging signals corresponding to a point on the object; and c) curve fitting the measured signal intensity of the point on the object to a bi-exponential function comprising a first and a second exponential term, the first exponential term representing the decrease in concentration of the contrast agent which is free over time and the second exponential term representing a decrease in concentration of the contrast agent which is retained on the object over time.

A method for ascertaining a fluid-dynamic characteristic value of a resilient vascular tree, through which a fluid flows in a pulsating manner, is provided. At least one 2D projection, respectively, of the resilient vascular tree is generated by a projection device from different angles of projection, and a digital 3D reconstruction of the vascular tree is generated by an analysis device based on of the 2D projections. A geometry of at least one vessel of the resilient vascular tree is estimated based on the 3D reconstruction, and at least one fluid state in the resilient vascular tree is ascertained from the geometry and predetermined resilient properties of the resilient vascular tree. The at least one fluid-dynamic characteristic value is calculated as a function of the at least one fluid state.

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.

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.

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.

In a biological simulation apparatus, an operation unit represents a structure domain where tissues of a biological organ exist by a structure mesh model based on a Lagrange description method and a fluid domain where fluid inside the biological organ exists by an ALE fluid mesh model based on an ALE description method. In a fluid-structure interaction simulation, the operation unit deforms the structure mesh model, and then deforms the ALE fluid mesh model so as to form no gap on a first interface between a domain where a site other than a certain site of the biological organ in the structure domain exists and the fluid domain or no overlap with the structure domain. The operation unit captures a position of a second interface between a domain where the certain site exists and the fluid domain by using the ALE fluid mesh model as a reference.

The method comprises identifying, in a 3D volume, a zone of a first type (H), a zone of a second type (BZ) and a zone of a third type (C) and:automatically identifying as a candidate channel (bz) a path running through the zone of a second type (BZ) and extending between two points of the zone of a first type (H); andautomatically performing, on a topological space (H_and_BZ_topo), homotopic operations between the candidate channel (bz) and paths (h) running only through the zone of a first type (H), and if the result of said homotopic operations is that the candidate channel (bz) is not homotopic to any path running only through the zone of a first type (H) identifying the candidate channel (bz) as a constrained channel. The computer program product implements the steps of the method of the invention.

A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a chronological transition of signal intensities for each of the pixels in a plurality of X-ray images chronologically acquired by using a contrast media. The processing circuitry is configured to correct the chronological transition of the signal intensities on the basis of a level of similarity between at least two mutually-different signal intensities within the chronological transition of the signal intensities.