The present disclosure includes methods, apparatuses, and systems for three-dimensional phenotyping and physiologic characterization of brain lesions and tissue encompassing one or more enlarged boundaries surrounding the brain lesion to study the metabolic and physiologic profiles from tissue within and around lesions and their impacts on lesion shape and surface texture. The non-invasive biomarker blood-oxygen their impacts on lesion shape and surface texture. The non-invasive biomarker blood-oxygen-level-dependent (BOLD) slope was used to metabolically characterize lesions. Metabolically active lesions with more intact tissue and myelin architecture have more symmetrical shapes and more complex surface textures compared to metabolically inactive lesions with less intact tissue and myelin architecture. The association of lesions' shapes and surface features with their metabolic signatures aid in the translation of MRI data to clinical management by providing information related to metabolic activity, lesion age, and risk for disease reactivation and self-repair.

Minimizing image sensor input/output pads in a pulsed fluorescence imaging system is 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 plurality of bidirectional pads comprising an output state for issuing data and an input state for receiving data. The system includes a controller configured to synchronize timing of the emitter and the image sensor. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises electromagnetic radiation having a wavelength from about 770 nm to about 790 nm and/or from about 795 nm to about 815 nm.

Images of individuals obtained using perfusion-based imaging techniques or diffusion-based imaging techniques can be analyzed to determine regions of the brains of the individuals where the supply of blood has been disrupted. The images can be used to generate alerts indicating the disruption of blood flow to one or more regions of the brains of the individuals. The images can be used to identify vessel segments (eg M1, M2, M3, M4, . . . ) and branches (MCA, ACA, PCA) of the brains of individuals in which abnormalities may be present.

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.

The invention described provides a way to use video image to estimate the human artery blood pressure reducing or completely eliminating the need for human contact (non invasive). Since video images can be stored and transmitted, the estimation of the blood pressure can be performed locally, remotely and in real time or offline.

An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Methods for characterizing fluids from a patient. A time series of images of a conduit are received, and a conduit image region in the images is identified. A flow type of the fluids passing through the conduit may be classified as one of air, laminar liquid, and turbulent liquid by evaluating an air-liquid boundary of the fluid. A volumetric flow rate of the fluids in the conduit is estimated. The volumetric flow rate may be based on the classified flow type. A concentration of a blood component of the fluids passing through the conduit may be estimated based on the images. A proportion of the fluid that is blood may also be determined, and a volume of blood that has passed through the conduit within a predetermined period of time may be estimated based on the estimated total volumetric flow rate and the determined proportion.

The invention relates to systems and methods for predicting ischemic brain tissue fate from multi-phase CT-angiography. More specifically, systems and methods are provided that enable meaningful prediction of core, penumbra and perfusion from mCTA images using software that has been trained via machine learning to interpret mCTA images.

A co-registration system includes a processor circuit that receives x-ray fluoroscopy images of a blood vessel while an intravascular catheter moves through the blood vessel. The processor circuit also receives intravascular data from the intravascular catheter as the catheter moves through the blood vessel. The processor circuit generates a 2D pathway based on the fluoroscopy images. The processor circuit generates an additional 2D pathway from a 3D CT model. The processor circuit performs a co-registration between the intravascular data and the CT-based 2D pathway based on a mapping between corresponding locations of the fluoroscopy-based 2D pathway and the CT-based 2D pathway. The processor circuit performs an additional co-registration between the intravascular data and the 3D CT model based on the first co-registration and outputs the 3D model with a graphical representation of the intravascular data to a display.

A co-registration system includes a processor circuit that determines a mapping between corresponding locations of a first 3D model of a blood vessel based on CT imaging data and a second 3D model of the blood vessel based on x-ray angiography data. The processor circuit receives, from an x-ray fluoroscopy device, x-ray fluoroscopy images of the blood vessel while an intravascular catheter/guidewire moves through the blood vessel. The processor circuit receives, from the catheter/guidewire, intravascular data representative of the blood vessel while the catheter/guidewire moves through the blood vessel. The processor circuit co-registers the intravascular data to the second 3D model based on the x-ray fluoroscopy images. The processor circuit co-registers the intravascular data to the first 3D model based on the mapping. The processor circuit outputs, to a display, the first 3D model and a visual representation