Systems and methods for generating MRI images of the lungs and/or airways of a subject using a medical grade gas mixture comprises between about 20-79% inert perfluorinated gas and oxygen gas. The images are generated using acquired .sup.19F magnetic resonance image (MRI) signal data associated with the perfluorinated gas and oxygen mixture.

An apparatus for a precise analysis of a severity of arthritis includes an image collection unit configured to collect a medical image having captured a joint of a user, a region detection unit configured to detect one or more regions of interest for analyzing arthritis in the medical image through a learned automatic region detection model, an individual analysis unit configured to extract quantitative feature values from the detected regions of interest and derives one or more individual analysis data from among a severity of arthritis, a severity of osteoproliferation, and a severity of hardness of a subchondral bone based on the feature values, and an integrated analysis unit configured to finely classify a severity of degenerative arthritis through an integrated analysis model learned based on the individual analysis data.

Embodiments of the present disclosure relate to techniques for neuromodulation delivery. Based on image data acquired from the subject, control parameters controlling energy application of neuromodulating energy may be dynamically changed during the course of the delivery to maintain desired characteristics of the neuromodulating energy. For example, the beam of the neuromodulating energy may be dynamically adjusted to account for movement of an organ during breathing. In another embodiment, a desired region of interest is identified within the subject based on a trained neural network and the acquired image data.

Methods, apparatuses, and systems for providing real-time surgical assistance to a surgical robot using an imaging module, a context computer module, and a quantum analysis module are disclosed. The imaging module receives one or more data related to a patient from an intra-operative database and performs a first step analysis based on the received data. The context computer module determines a type of resource required for analysis based on data received from a historical database and the intra-operative database. The quantum analysis module receives data from the imaging module and the context computer module. The quantum analysis module receives real-time data from operation room (OR) equipment and performs quantum analysis on the received data and real-time data. The quantum analysis module facilitates real-time surgical assistance and recommendations to the surgical robot.

A system is suggested comprising an optical sensing means and a processing unit. The optical sensing means may include an optical guide with a distal end, wherein the optical guide may be configured to be arranged in a device to be inserted into tissue in a region of interest. The processing unit may be configured to receive information of a region of interest including different tissue types as well as of a path through the tissues, to determine a sequence of tissue types along the path, to determine a tissue type at the distal end of the optical guide based on information received from the optical sensing means, to compare the determined tissue type with the tissue types on the path, to determine possible positions of the distal end of the optical guide on the path based on the comparison of tissue types, and to generate a signal indicative for the possible positions.

The apparatus has a control unit, a connection unit and a vibration unit. The connection unit has a control-element-side region, an edge region and a flexible region, wherein the control-element-side region is flexibly mounted relative to the edge region by the flexible region. The control unit has a contact region, wherein the contact region is fixed relative to the control-element-side region. The control unit is configured to generate a contact signal based on contact with the contact region. The vibration unit is configured to induce a vibration of the contact region relative to the edge region during contact with the contact region.

The present invention provides a system for extension of dynamic range and contrast of a video capture under fluorescence imaging conditions using a single detector. For this purpose, the system (100) comprises of a light engine (107) which sequentially switches between a high-intensity fluorescence excitation light mode (107A), a low-intensity fluorescence excitation light mode (107B) and NIR reflectance light (107C). Correspondingly, a detector (103) captures three data streams—High Intensity Fluorescence Data (105A), Low Intensity Fluorescence Data (105B) and NIR Reflectance Data (105D). A scene processing unit (105) then processes the three data streams and generate two additional data streams—a Wide Dynamic Range Fluorescence Data Stream (105C) and an Enhanced Vascular Index Data Stream (105E). The system also uses a Selective Visualization Unit (106) to allow the user to visualize any of five data streams.

According to various embodiments, an image analysis server for determining whether an image is suitable for skin analysis may include a DB management unit for obtaining a captured image from a skin measurement device and storing the captured image; a user detector for detecting a user's face based on the obtained image; an image suitability determination unit for determining whether the obtained image is suitable for skin analysis; a skin analyzer for analyzing skin corresponding to the detected user's face based on the image determined to be suitable for skin analysis; and a service providing unit for calculating a skin score according to the analysis and providing the calculated skin score to a user terminal.

A laser based vascular illumination system utilizing a FPGA for detecting vascular positions, processing an image of such vasculature positions, and projecting the image thereof onto the body of a patient.

A method for determining an abnormality in a medical device from a medical image is provided. The method for determining an abnormality in a medical device comprises receiving a medical image, and detecting information on at least a part of a target medical device included in the received medical image.