The present disclosure provides a system and methods for time of flight imaging, comprising: (a) an imaging sensor configured to receive a plurality of light signals reflected from a surgical scene, wherein the imaging module comprises a first imaging unit configured for time of flight (TOF) imaging; a second imaging unit configured for at least one of laser speckle imaging and fluorescence imaging; and an optical element configured to (i) direct a first set of light signals to the first imaging unit and (ii) direct a second set of light signals to the second imaging unit; and (b) an image processing module operatively coupled to the first imaging unit and the second imaging unit, wherein the image processing module is configured to generate one or more images of the surgical scene based on the first set of light signals and the second set of light signals.

A volume management apparatus includes a cardiac evaluation unit configured to evaluate whether the patient suffers from an organic heart disease based on an image of apical four chamber view; a parameter determination unit configured to determine a maximum inner diameter of inferior vena cava and a collapse rate of inferior vena cava based on an image of subxiphoid inferior vena cava view; a score calculation unit configured to determine scores that correspond to the LVEF value, the maximum diameter of the inferior vena cava, and the collapse rate of the inferior vena cava, respectively; and a fluid management plan determination unit configured to search for a fluid management plan corresponding to a score determined, and perform volume management for the patient according to the fluid management plan searched. Using the present disclosure, it is possible to effectively avoid cardiac quality associated safety issues that a patient may have.

Methods and systems for characterizing tissue of a subject are disclosed. The method includes receiving a time series of fluorescence images of the tissue of the subject wherein the images define a plurality of calculation regions, generating a plurality of time-intensity curves for the plurality of calculation regions, creating a set of parameter values for each calculation region, generating a total rank value for each calculation region by comparing the sets of parameter values, and converting the total rank value into a ranking map image. Also disclosed are methods and systems for characterizing a wound in tissue by generating a wound index value.

The invention relates to systems and methods to assist physicians in decision making for stroke patients. In particular the systems and methods can be used to assist physicians to decide on whether a patient with an acute ischemic stroke has a large vessel occlusion (LVO) and should be transferred from a community hospital to a larger hospital to undergo an endovascular thrombectomy procedure.

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.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.

This computer-implemented method allows assessing the shear elasticity modulus of a flexible tube, such as a blood vessel. In the field of medicine, this allows assessing whether a blood vessel is at risk of breakage or tearing. In the case of an artificial tube to be implanted in a patient's body, this allows verifying that this tube is compatible with the patient's body. The method includes the following further steps: a) obtaining (1002) a first dataset relating to spatiotemporal deformations of the tube; b) detecting and storing (1004) a wall inner surface of the tube and its diameter (D); c) identifying (1006) a number of transverse sections (Sij) of the tube; d) computing (1008) an average particle velocity (Vij) over each section; e) computing (1010) a wave propagation speed (C2) of an antisymmetric wave (W2); f) based on the wave propagation speed (C2) and on the diameter (D), assessing (1012) the shear elasticity modulus (?) of the tube.

A system for analyzing a body part of a subject includes a sensor interface having a surface for receiving the body part. A light source emits light having multiple wavelengths within the sensor interface to be reflected by the body part interacting with the surface. An imaging system captures images of the reflected light. A computing device generates a pressure distribution map of the body part on the surface based on the images.

A dynamic image processing apparatus includes a hardware processor that performs a scattered ray removing process on a dynamic image captured by irradiating a subject with radiation; and acquires at least one imaging condition that is set in capturing the dynamic image. The hardware processor performs the scattered ray removing process on the dynamic image based on at least one of a predetermined condition and the imaging condition that has been acquired.

Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.