A system (100) includes a computer readable storage medium (122) with computer executable instructions (124), including: a biophysical simulator component (126) configured to determine a fractional flow reserve value via simulation and a traffic light engine (128) configured to track a user-interaction with the computing system at one or more points of the simulation to determine the fractional flow reserve value. A processor (120) is configured to execute the biophysical simulator component to determine the fractional flow reserve value and configured to execute the traffic light engine to track the user-interaction with respect to determining the fractional flow reserve value and provide a warning in response to determining there is a potential incorrect interaction. A display is configured to display the warning requesting verification to proceed with the simulation from the point, wherein the simulation is resumed only in response to the processor receiving the requested verification.

In one embodiment, an MRI apparatus includes a memory storing a predetermined program and processing circuitry. The processing circuitry is configured, by executing the predetermined program, to generate a first image having a first phase affected by susceptibility, generate a second image having a second phase affected by both of the susceptibility and flow, and distinguish difference in susceptibility or flow for a pixel of a third image by using the first phase and the second phase or by using a value calculated from the first phase and a value calculated from the first phase, the third image having regions which are substantially same in contrast.

The present invention relates to a device (1) for fractional flow reserve determination, the device (1) comprising: a model source (10) configured to provide a first three-dimensional model (3DM1) of a portion of an imaged vascular vessel tree (VVT) surrounding a stenosed vessel segment (SVS) and configured to provide a second three-dimensional model (3DM2) of a pressure wire insertable into the vascular vessel tree (VVT); and a processor (20) configured to calculate a first blood flow (Q1) through the stenosed vessel segment (SVS) with the pressure wire (PW) inserted into the vascular vessel tree (VVT) based on the first and the second three-dimensional model and to calculate a second blood flow (Q2) through the stenosed vessel segment (SVS) without the pressure wire (PW) inserted into the vascular vessel tree (VVT) based on the first three-dimensional model (3DM1) and to determine a first fractional flow reserve value (FFR1) to be measured with the pressure wire (PW) inserted into the vascular vessel tree (VVT) based on the first blood flow (Q1) and to determine a second fractional flow reserve value (FFR2) to be measured without the pressure wire (PW) inserted into the vascular vessel tree (VVT) based on the second blood flow (Q1).

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.

Systems and methods for detecting, counting and analyzing the blood content of a surgical textile are provided, utilizing an infrared or depth camera in conjunction with a color image.

An apparatus for determining a functional index for stenosis assessment of a vessel is provided. The apparatus comprises an input interface (40) and a processing unit (50). The input interface is configured to obtain image data (30) representing a two-dimensional representation of a vessel (6). The processing unit (50) is configured to determine a course of the vessel (6) and a width (w1, w2) of the vessel along its course in the image data and is further configured to determine the functional index for stenosis assessment of the vessel based on the width of the vessel in the image data.

A system (100) includes a computer readable storage medium (122) with computer executable instructions (124), including: a biophysical simulator component (126) configured to determine a fractional flow reserve index. The system further includes a processor (120) configured to execute the biophysical simulator component (126) to determine the fractional flow reserve index with spectral volumetric image data. The system further includes a display configured to display the determine fractional flow reserve index.

A dynamic image analysis apparatus includes a hardware processor that acquires an X-ray dynamic image including continuous frame images acquired by continuously capturing a living body having a heartbeat in time series; performs logarithmic conversion for a pixel value of the acquired X-ray dynamic image to create a logarithmically converted image; sets, as a reference frame image, one frame image based on a heartbeat phase in at least one of the X-ray dynamic image and the logarithmically converted image; calculates (i) a difference or ratio between the X-ray dynamic image as the reference frame image and the X-ray dynamic image as a comparative frame image which is another frame image or (ii) a difference or ratio between the logarithmically converted image as the reference frame image and the logarithmically converted image as the comparative frame image; and generates a blood flow analysis image.

Embodiments facilitate prediction of anti-vascular endothelial growth (anti-VEGF) therapy response in DME or RVO patients. A first set of embodiments discussed herein relates to training of a machine learning classifier to determine a prediction for response to anti-VEGF therapy based on a vascular network organization via Hough transform (VaNgOGH) descriptor generated based on FA images of tissue demonstrating DME or RVO. A second set of embodiments discussed herein relates to determination of a prediction of response to anti-VEGF therapy for a DME or RVO patient (e.g., non-rebounder vs. rebounder, response vs. non-response) based on a VaNgOGH descriptor generated based on FA imagery of the patient.

A method for imaging a coronary arterial system of an individual includes releasing, using an actuator, pulses of a radio-opaque dye into a coronary arterial tree of the individual. The method further includes obtaining, using an image capture device, a sequence of invasive coronary x-ray angiogram images over time of the pulses of the radio-opaque dye. The method also includes tracking, using a processor, the pulses through the sequence of invasive coronary x-ray angiogram images and locating the pulses on a three dimensional (3D) structural model of the coronary arterial system to generate a three dimensional (3D) functional model of the coronary arterial system that shows a trajectory of the dye as it flows through different arterial branches.