A video processor includes: a region extracting circuit that receives an input of a first image signal obtained by forming an image of a subject irradiated with first narrow band light including a wavelength that is minimally absorbed by blood within a green wavelength band, the image of the subject including a bleeding point, and extract a blood pool region having a blood concentration that is lower than a blood concentration of the bleeding point in a region representing the blood in the first image signal; and an image generating circuit that raises a luminance value of the blood pool region in either the first image signal or a second image signal obtained by forming an image of the subject irradiated with second narrow band light whose wavelength is shorter and which is more absorbed by the blood than the first narrow band light.

Methods and systems for alignment of a subject for medical imaging are disclosed, and involve providing a reference image of an anatomical region of the subject, the anatomical region comprising a target tissue, processing the reference image to generate an alignment reference image, displaying the alignment reference image concurrently with real-time video of the anatomical region, and aligning the real-time video with the alignment reference image to overlay the real-time video with the alignment reference image. Following such alignment, the subject may be imaged using, for example, fluorescence imaging, wherein the fluorescence imaging may be performed by an image acquisition assembly aligned in accordance with the alignment.

A dynamic image processing system including a hardware processor that extracts a heart region from a chest dynamic image which is obtained by radiation imaging of a dynamic state at a chest, extracts a density waveform for each pixel in the extracted heart region, determines an extraction target candidate region of blood flow information based on the extracted density waveform for each pixel, and sets an extraction target region of the blood flow information in the determined extraction target candidate region of the blood flow information.

A method of processing optical coherence tomography (OCT) scans through a subject's skin, the method comprising: receiving a plurality of scans through the subject's skin, the scans representing an OCT signal in slices through the user's skin at different times; comparing the scans to determine time-varying regions in the scans; determining a depth-distribution of the time varying regions.

A method and system for determining fractional flow reserve (FFR) for a coronary artery stenosis of a patient is disclosed. In one embodiment, medical image data of the patient including the stenosis is received, a set of features for the stenosis is extracted from the medical image data of the patient, and an FFR value for the stenosis is determined based on the extracted set of features using a trained machine-learning based mapping. In another embodiment, a medical image of the patient including the stenosis of interest is received, image patches corresponding to the stenosis of interest and a coronary tree of the patient are detected, an FFR value for the stenosis of interest is determined using a trained deep neural network regressor applied directly to the detected image patches.

A correlation matrix calculation unit calculates a correlation matrix R.sub.zx for each data element of the frame data. A blood flow luminance image forming unit forms a blood flow extraction filter P.sub.k,N on the basis of an eigenvalue .sub.i of a rank equal to or lower than a first threshold rank, the eigenvalue being obtained by singular value decomposition on the correlation matrix R.sub.zx, and an eigenvector w.sub.i, w.sub.i.sup.H corresponding to the eigenvalue i and applies the blood flow extraction filter P.sub.k,N to frame data F, therebyto forming a blood flow luminance image U.sub.k,N. A tissue image forming unit forms a tissue image including tissue components on the basis of a signal value of each data element forming the plurality of pieces of the frame data. A blood flow extraction image forming unit subtracts the tissue image from the blood flow luminance image U.sub.k, N, thereby forming a blood flow extraction image U.sub.out.

The present invention relates to edge restoration. In order to improve a restoration of the artificially created cleansed edges, an apparatus is proposed to automatically restore image edges after digital subtraction of digital material substitution to optimally resemble image edges in unmodified locations. The appearance of edges is machine-learned in an unsupervised non-analytical way from unmodified locations, and then, after digital suppression or digital material substitution, applied to the artificially created cleansed edges.

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.

Systems and methods are disclosed for assessing organ and/or tissue transplantation by estimating blood flow through a virtual transplant model by receiving a patient-specific anatomical model of the intended transplant recipient; receiving a patient-specific anatomical model of the intended transplant donor, the model including the vasculature of the organ or tissue that is intended to be transplanted to the recipient; constructing a unified model of the connected system post transplantation, the connected system including the transplanted organ or tissue from the intended transplant donor and the vascular system of the intended transplant recipient; receiving one or more blood flow characteristics of the connected system; assessing the suitability for an actual organ or tissue transplantation using the received blood flow characteristics; and outputting the assessment into an electronic storage medium or display.

A biological information detection apparatus for measuring a SpO.sub.2 without contact from a distant position includes a camera that acquires an image with visible and infrared light, a first wavelength fluctuation detection section detects a temporal variation of a wavelength of an image with the visible light to generate a first wavelength difference data signal, a first amplitude detection section detects an amplitude of the first wavelength difference data signal, a second wavelength fluctuation detection section detects a temporal variation of a wavelength of an image with the infrared light to generate a second wavelength difference data signal, a second amplitude detection section detects an amplitude of the second wavelength difference data signal, a ratio calculation section calculates a ratio between the amplitudes of the first and second wavelength difference data signals, and an oxygen saturation concentration calculation section calculates an oxygen saturation concentration based on the calculated amplitude ratio.