Devices, systems, and methods for evaluating blood flow with vascular perfusion imaging are disclosed. In an embodiment, a medical system is disclosed. One embodiment of the medical system comprises a perfusion imaging system configured to obtain perfusion imaging data associated with movement of contrast through a vessel of a patient, a graphical user interface, and a medical processing unit in communication with the perfusion imaging system and the graphical user interface. The medical processing unit is configured to receive a first set of perfusion imaging data from the perfusion imaging system, determine at least one parameter representative of the movement of the contrast through the vessel of the patient, generate a first graphical representation of the first set of perfusion imaging data and the at least one parameter determined based on the first set of perfusion imaging data, and output the first graphical representation to the graphical user interface.

Devices, systems, and methods for evaluating blood flow with vascular perfusion imaging are disclosed. In an embodiment, a medical system is disclosed. One embodiment of the medical system comprises a perfusion imaging system configured to obtain perfusion imaging data associated with movement of contrast through a vessel of a patient, a graphical user interface, and a medical processing unit in communication with the perfusion imaging system and the graphical user interface. The medical processing unit is configured to receive a first set of perfusion imaging data from the perfusion imaging system, determine at least one parameter representative of the movement of the contrast through the vessel of the patient, generate a first graphical representation of the first set of perfusion imaging data and the at least one parameter determined based on the first set of perfusion imaging data, and output the first graphical representation to the graphical user interface.

Approaches for evaluating fluid flow based on fluorescent sensing is disclosed. In one approach, a nanoparticle injector is configured to inject nanoparticles into fluid flowing through a conduit. A detector is configured to determine a presence of the nanoparticles in the flow of the fluid. The detector can include a radiation source configured to irradiate the fluid with a target radiation and a fluorescent meter configured to measure an amount of fluorescence emitted from the fluid irradiated with the radiation. A control unit is configured to determine the flow of the fluid in the conduit as a function of the measured amount of fluorescence.

Approaches for evaluating fluid flow based on fluorescent sensing is disclosed. In one approach, a nanoparticle injector is configured to inject nanoparticles into fluid flowing through a conduit. A detector is configured to determine a presence of the nanoparticles in the flow of the fluid. The detector can include a radiation source configured to irradiate the fluid with a target radiation and a fluorescent meter configured to measure an amount of fluorescence emitted from the fluid irradiated with the radiation. A control unit is configured to determine the flow of the fluid in the conduit as a function of the measured amount of fluorescence.

Disclosed is a method for calculating fractional flow reserve, comprising: collecting a pressure at the coronary artery inlet of heart by a blood pressure sensor in real-time, and storing a pressure value in a data linked table; obtaining an angiographic time according to the angiographic image, finding out the corresponding data from data queues based on time index using the angiographic time as an index value, screening out stable pressure waveforms during multiple cycles, and obtaining an average pressure Pa; and obtaining a length of the segment of blood vessel from angiographic images of the two body positions, and obtaining a blood flow velocity V; calculating a pressure drop ΔP for the segment of the blood vessel using the blood flow velocity V at the coronary artery inlet, and calculating a pressure Pd at the distal end of the blood vessel, and further calculating the angiographic fractional flow reserve.

Disclosed is a method for calculating fractional flow reserve, comprising: collecting a pressure at the coronary artery inlet of heart by a blood pressure sensor in real-time, and storing a pressure value in a data linked table; obtaining an angiographic time according to the angiographic image, finding out the corresponding data from data queues based on time index using the angiographic time as an index value, screening out stable pressure waveforms during multiple cycles, and obtaining an average pressure Pa; and obtaining a length of the segment of blood vessel from angiographic images of the two body positions, and obtaining a blood flow velocity V; calculating a pressure drop ΔP for the segment of the blood vessel using the blood flow velocity V at the coronary artery inlet, and calculating a pressure Pd at the distal end of the blood vessel, and further calculating the angiographic fractional flow reserve.

The present invention relates to a system, its catheter and its method for providing electrical pulses and/or therapeutic or diagnostic liquids directly to a pituitary gland of a mammal. The catheter, containing an electrode or a microcannula or both, is moved through an endovascular route of a patient to his/her sinus cavernosus and then the distal end of the electrode or microcannula is moved through an opening in the distal end of the catheter and then through a perforation in the medial wall of the sinus cavernosus, to the pituitary gland.

The present invention provides a method of determining whether a subject is suffering or at a risk of developing a peripheral arterial disease via Positron Emitting Tomography (PET) imaging technology. The method comprises administering a PET radionuclide into the subject via automated generation and/or infusion system, performing PET scan of the region of interest, automated assessment of the PET images, performing assessment and suggesting the most appropriate therapeutic and/or management options for the patients based on the severity score, provides an assessment of regional lower proximity perfusion and perfusion reserve, and/or regional and mean standardized uptake values (SUVs). More particularly, the method of image processing identifies the regional differences in SMP (Skeletal muscle perfusion) and SMPR (Skeletal muscle perfusion reserve) across calf muscles at rest and cuff-induced hyperemia.

A computing device, method, system, and instructions in a non-transitory computer-readable medium for performing image analysis on 3D microscopy images to predict localization and/or labeling of various structures or objects of interest, by predicting the location in such images at which a dye or other marker associated with such structures would appear. The computing device, method, and system receives sets of 3D images that include unlabeled images, such as transmitted light images or electron microscope images, and labeled images, such as images captured with fluorescence tagging. The computing device trains a statistical model to associate structures in the labeled images with the same structures in the unlabeled light images. The processor further applies the statistical model to a new unlabeled image to generate a predictive labeled image that predicts the location of a structure of interest in the new image.

Systems, methods, and devices for fluorescence imaging in a light deficient environment are disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system includes a controller comprising a processor in electrical communication with the image sensor and the emitter. The system is such that the controller synchronizes timing of the pulses of electromagnetic radiation during a blanking period of the image sensor. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of electromagnetic radiation between 770 nm and 790 nm and/or electromagnetic radiation between 795 nm and 815 nm.