A system (100) for providing a normalised microcirculatory resistance value for a vessel (110), is provided. The system includes one or more processors (120) configured to: compute (S110) a microcirculatory resistance value for the vessel (110) based on a transit time (T.sub.T) taken for an injected bolus to travel between a proximal position (Pos.sub.a) in the vessel, and a distal position (Pos.sub.d) in the vessel; and divide (S120) the computed microcirculatory resistance value by a transit length (d.sub.T) representing a length of the vessel between the proximal position (Pos.sub.a) and the distal position (Pos.sub.d), to provide the normalised microcirculatory resistance value.

The present disclosure provides a method for quantifying perfusion. The method may comprise (a) obtaining at least one image of a surgical scene: (b) processing the at least one image to determine one or more perfusion characteristics associated with one or more reference regions in the surgical scene: and (c) determining one or more relative perfusion characteristics for a target region in the surgical scene based on the at least one image and the one or more perfusion characteristics associated with the one or more reference regions.

Systems and methods disclosed herein provide a method for real-time PCI guidance. A method comprises receiving one or more images of a blood vessel from an imaging modality system, the blood vessel having a lumen, a lumen surface, and a wall; building a 3D model of the blood vessel based on the one or more images; segmenting one or more materials between the lumen and the wall of the blood vessel; reconstructing the blood vessel based on the one or more images; assigning material properties to the reconstructed surface of the blood vessel; determining a wall thickness, a plaque thickness, a lumen area, a plaque eccentricity and one or more plaque constituents; guiding an interventional procedure in real-time based on the 3D reconstructed vessel lumen surface and segmented materials; and performing balloon pre-dilation, a percutaneous coronary intervention, and balloon post-dilation with the 3D reconstructed vessel lumen surface and segmented materials.

Method and systems are described that create a 3D reconstruction of a vessel of interest that represents a subset of a coronary tree that includes a lesion; calculate at least one of pressure parameters or anatomical parameters based at least in part on a portion of the 3D reconstruction that includes the lesion; calculate a wall shear stress (WSS) descriptor, based on the 3D reconstruction, for a segment of a surface of the vessel that includes the lesion, wherein the WSS descriptor includes information regarding an amount of variation in contraction or expansion applied at surface elements within the segment during at least a portion of a cardiac cycle; and calculate a myocardial infarction (MI) index based on the WSS descriptor and the at least one of the pressure or anatomical parameters, the MI index representing a likelihood that the lesion will result in an MI.

A method to visualize, display, analyze and quantify angiography, perfusion, and the change in angiography and perfusion in real time, is provided. This method captures image data sequences from indocyanine green near infra-red fluorescence imaging used in a variety of surgical procedure applications, where angiography and perfusion are critical for intraoperative decisions.

Disclosed is a super-resolution flow field reconstruction method, including: superimposing a plurality of frames of contrast-enhanced ultrasound images that are in one time interval and each of which includes images of a plurality of microbubbles, to obtain a superimposed image including a plurality of microbubble trajectories of the plurality of microbubbles; performing straight line fitting on the plurality of microbubble trajectories, to obtain a plurality of microbubble trajectory straight lines of the plurality of microbubbles, respectively; determining directions and velocities of instantaneous movements of the plurality of microbubbles in the time interval; and reconstructing a super-resolution flow field. This method avoids localization and tracking process of the plurality of moving microbubbles, overcomes the limitations of current ultrasound super-resolution imaging strategies under the impact of motion artifacts and low signal-to-noise-ratio, and improving precision and efficiency of super-resolution flow field reconstruction.

System and method for measuring hypertension conditions of a subject is disclosed. The disclosed system and method includes thermal sensors for capturing thermal images and/or videos of a body part; and a processing engine to detect a predefined region of the body part in each frame of the captured images and/or videos. The processing engine segments one or more portions from the detected predefined region in each frame of the captured images and/or videos to identify a region of interest comprising arteries in the one or more segmented portions. Based on the identified region of interest, the engine extracts pixel values from each frame of the captured images and/or videos to determine parameters associated with a blood flow velocity and a blood pressure of the subject. Further a type of hypertension and a risk score for the hypertension condition based on the determined parameters using computational models are measured.

Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

A feature value related to a positional relationship between a vortex vein position and a characteristic point on a fundus image is computed.

The image processing method provided includes a step of analyzing a choroidal vascular image and estimating a vortex vein position, and a step of computing a feature value indicating a positional relationship between the vortex vein position and a position of a particular site on a fundus.

Computer-implemented methods and systems are provided for quantitative hemodynamic flow analysis, which involves retrieving patient specific image data. A 3D reconstruction of a vessel of interest can be created from the patient specific image data. Geometric information can be extracted from the 3D reconstruction. A lesion position can be determined. Patient specific data can be obtained. Hemodynamic results can be calculated based on the geometric information, the lesion position and the patient specific data.