Methods and systems for angiographic imaging with optical coherence tomography (OCT) are described using ratio-based and angiographic deviation based calculations. In using these calculations to determine motion, arbitrary interframe permutations may be used, post- calculated, non-linear results for projection visualization may be averaged, poor matches may be eliminated on an A-line by A-line basis, windowing functions may be used to improve results, partial spectrums may be used when capturing data, and a minimum intensity threshold may be used for determining which pixels to use.

The present invention relates to a device (1) for fractional flow reserve determination. The device (1) comprises a model generator (10) configured to generate a three-dimensional model (3DM) of a portion of an imaged vascular vessel tree (VVT) surrounding a stenosed vessel segment (SVS), based on a partial segmentation of the imaged vascular vessel tree (VVT). Further, the device comprises an image processor (20) configured to calculate a blood flow (Q) through the stenosed vessel segment (SVS) based on an analysis of a time-series of X-ray images of the vascular vessel tree (VVT). Still further, the device comprises a fractional-flow-reserve determiner (30) configured to determine a fractional flow reserve (FFR) based on the three-dimensional model (3DM) and the calculated blood flow.

A biological information detection device includes: a video capture unit, a blood flow analysis unit, a local pulse wave detection unit, a pulse wave propagation velocity calculation unit, and a blood pressure estimation unit. The video capture unit obtains video information on a face of a living body. The blood flow analysis unit analyzes video data of at least three skin areas in the video information, as blood flow information. The local pulse wave detection unit is provided for each skin area to calculate pulse information based on the blood flow information sequenced chronologically. The pulse wave propagation velocity calculation unit calculates a pulse wave propagation velocity based on a phase difference between pieces of the pulse information at each skin area calculated by the local pulse wave detection unit. The blood pressure estimation unit estimates blood pressure based on the pulse wave propagation velocity.

Fluorescence based tracking of a light-emitting marker in a bodily fluid stream is conducted by: providing a light-emitting marker into a fluid stream; establishing field of view monitoring by placement of a sensor, such as a high speed camera, at a region of interest; recording image data of light emitted by the marker at the region of interest; determining time characteristics of the light output of the marker traversing the field of view; and calculating flow characteristics based on the time characteristics. Furthermore generating a velocity vector map may be conducted using a cross correlation technique, leading and falling edge considerations, subtraction, and/or thresholding.

A system and method are provided for generating time resolved series of angiographic volume data having flow information integrated therewith. The method includes generating a series of 3D time-resolved vascular volumes from time resolved x-ray projection data and calculating blood velocity in the vascular volumes x-ray projection data to determine a rate of change of calculated contrast material arrival time at positions along the vascular volumes. The method also includes displaying the 3D time-resolved vascular volumes with a graphical indication of blood velocity in the vascular volumes.

The present invention discloses means and methods for detecting irregularities in the cells throughout a healthy tissue. The method generally relates to cancer detection, diagnosis and treatment, and more specifically pertains to detection, diagnosis and treatment guidance of cancerous or precancerous conditions through the use of thermal imaging technology and analysis.

A radiographic imaging apparatus (100) is configured to generate movement maps (30) of pixels (21) belonging to a first image (11) based on the first image (11) and a second image (12) captured at different times, to move a pixel (21) of the first image (11) based on a smoothed movement map (30a) in which high-frequency components of the movement maps (30) have been suppressed in a spatial direction and generate a deformed image (11a), and to combine the deformed image (11a) and the second image (12).

An image processing method for image-based physiological measurement, includes converting at least one user's image signal into image data; determining at least one region of interest within the image data; analyzing image information inside the region of interest to generate physiological information of the user; determining a feedback control signal or a control signal to optimize the physiological information of the user; and adjusting an image sensing unit or an image signal processing unit according to the feedback control signal or the control signal.

Characterizing myocardial perfusion pathology includes analyzing a plurality of medical images of at least a portion of the heart of a subject of interest (20), acquired in a consecutive manner by a medical imaging modality (10). Intensities of selected myocardial image positions from the plurality of medical images are sampled and assigned an index representing an order of acquisition to the respective sampled intensities of the myocardial image positions to obtain intensity curves (60). An index number (64, 66) indicative of a spatio-temporal perfusion inhomogeneity or perfusion dephasing among at least a subset of myocardial segments of the plurality of myocardial segments is calculated, based on the obtained intensity curves (60).

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.