Biometric analysis of vascular patterning may be performed in 3D and 2D as an integrative biomarker of complex molecular and mechanical signaling. The vascular patterning may facilitate the coordination of essentially unlimited numbers of bioinformatics dimensions for specific molecular and other co-localizations with spatiotemporal dimensions of vascular morphology. The vascular patterning may also apply geometric principles of translational versus rotational principles for vascular branching to support the transformation of VESGEN 2D to VESGEN 3D.

For cardiac flow detection in echocardiography, by detecting one or more valves, sampling planes or flow regions spaced from the valve and/or based on multiple valves are identified. A confidence of the detection may be used to indicate confidence of calculated quantities and/or to place the sampling planes.

The uncertainty, sensitivity, and/or standard deviation for a patient-specific hemodynamic quantification is determined. The contribution of different information, such as the fit of the geometry at different locations, to the uncertainty or sensitivity is determined. Alternatively or additionally, the amount of contribution of information at one location (e.g., geometric fit at the one location) to uncertainty or sensitivity at other locations is determined. Rather than relying on time consuming statistical analysis for each patient, a machine-learnt classifier is trained to determine the uncertainty, sensitivity, and/or standard deviation for the patient.

The present disclosure is directed to systems and methods of multiphase pseudo-continuous arterial spin labeling.

A biological information detection apparatus includes: a camera; a frame image analysis unit that detects a region including pixels having a predetermined skin color, as a skin color region, from a frame image taken using the camera, and detects a signal corresponding to a light wavelength from an image signal of each pixel included in the skin color region, as skin color wavelength data; a skin color wavelength difference detection unit that calculates an average value of differences of the skin color wavelength data from predetermined reference wavelength data for the pixels included in the skin color region, and acquires the average value as average wavelength difference data; a pulse wave signal detection unit that detects a signal obtained by smoothing the average wavelength difference data detected in time series, as a pulse wave signal.

The present application relates to systems and methods for performing a computerized cardiac simulation for at least one of diagnosis, risk assessment or treatment planning including: receiving, by a computer, a plurality of three-dimensional cardiac images of a subject's heart such that each three-dimensional cardiac image corresponds to a different phase of a single cardiac cycle of the subject's heart; modeling structure, using the computer, of the left atrium of the subject as a function of time using the plurality of three-dimensional cardiac images of the subject's heart; modeling blood flow, using the computer, within, into and out of the left atrium of the subject as a function of time using computational fluidic dynamics and using structure of said left atrium obtained from at least one of said plurality of three-dimensional cardiac images or said modeling structure of said left atrium; simulating at least one of time dependent structural function or time-dependent blood flow of said left atrium using results from said modeling structure and said modeling blood flow for a selected period of time; and providing information to a user from said simulating for use in at least one of diagnosis, risk assessment or treatment planning for a physiological effect related to function of said left atrium of the subject.

A system and method for estimating vascular flow using CT imaging include a computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to acquire a first set of data comprising anatomical information of an imaging subject, the anatomical information comprises information of at least one vessel. The instructions further cause the computer to process the anatomical information to generate an image volume comprising the at least one vessel, generate hemodynamic information based on the image volume, and acquire a second set of data of the imaging subject. The computer is also caused to generate an image comprising the hemodynamic information in combination with a visualization based on the second set of data.

A medical diagnostic imaging apparatus according to an embodiment includes control circuitry. The control circuitry obtains three-dimensional medical image data of acquiring an area of an object. The control circuitry defines a setting region on the three-dimensional medical image data. The control circuitry divides the setting region into a region of interest and a region other than that by at least a single boundary position. The control circuitry generates, from the three-dimensional medical image data, an image in which the region of interest and the region other than that are distinguished from each other. The control circuitry calculates information about at least one of a volume of and a motion index of the region of interest. The control circuitry displays the calculated information for the region of interest in the image.

Various systems and methods for improved OCT angiography imaging are described. An example method of identifying intraretinal fluid in optical coherence tomography (OCT) image data of an eye includes collecting OCT image data using an OCT system. The data includes at least one cluster scan containing OCT image data collected at approximately same set of locations on the sample. A first motion contrast image is generated by applying a first OCT angiography processing technique to the cluster scan to highlight motion contrast in the sample. A second motion contrast image is generated by applying a second OCT angiography processing technique to the cluster scan to highlight motion contrast in the sample. An image displaying intraretinal fluid in the eye is generated using the first and second motion contrast images and then displayed or stored or a further analysis thereof.

Methods for personalized treatment of tumor lesions in subject with metastatic cancer are disclosed.