An optical coherence tomography (OCT) system for imaging a retina applies a user specific focus correction to focus a sample arm light beam on the user's retina. An OCT image detector generates an OCT signal. A control unit monitors the OCT signal, controls a reference arm optical path length adjustment mechanism to identify a length of the reference arm optical path for which the OCT signal corresponds to an OCT image of the retina, and varies an operational parameter of the sample arm light beam focus mechanism over a range, while maintaining the length of the reference arm optical path for which the OCT signal corresponds to the OCT image of the retina, to identify a focus correction for the user, based on the OCT signal, for application to the sample arm light beam.

A state assessment system, a diagnosis and treatment system and a method for operating the diagnosis and treatment system are disclosed. An oscillator model converts a physiological signal of a subject into a defined feature image. A classification model analyzes state information of the subject based on the feature image. An analysis model outputs a treatment suggestion for the subject based on the state information of the subject. An AR projection device projects acupoint positions of a human body onto the subject, for the subject to be treated based on the treatment suggestion.

A target surface in an eye is located using a dual aiming beam apparatus that transmits a first aiming beam of light and a second aiming beam of light. An optics subsystem receives a laser beam from a laser source, the first aiming beam of light, and the second aiming beam of light, and directs the beams of light to be incident with the target surface and aligns the beams of light such that they intersect at a point corresponding to a focus of the laser beam. An imaging apparatus captures an image of the target surface including a first spot corresponding to the first aiming beam of light and a second spot corresponding to a second aiming beam of light. A separation between the spots indicates that the focus is away from the target surface, while overlapping spots indicate the focus is at or on the target surface.

Systems and methods for visualizing ablated tissue are disclosed. In some embodiments, a system for imaging tissue comprising: a catheter having a distal end and a proximal end; an inflatable balloon disposed about the distal end of the catheter; and an optical housing extending from the distal end of the catheter into the balloon, the optical housing being configured to position inside the balloon a light source for illuminating a tissue outside the balloon and a camera for imaging the illuminated tissue.

A biological measuring device includes a light source that emits first light illuminating an area on a living body, an imaging device that detects second light returned from the living body and acquires a first image including at least part of the living body, and a control circuit that controls the light source. If a specific part of the living body is not located in a predetermined coordinate range in the first image, the control circuit restricts emission of the first light from the light source. The predetermined coordinate range is set outside the area.

A method of modeling lungs of a patient includes acquiring computed tomography data of a patient's lungs, storing a software application within a memory associated with a computer, the computer having a processor configured to execute the software application, executing the software application to differentiate tissue located within the patient's lung using the acquired CT data, generate a 3-D model of the patient's lungs based on the acquired CT data and the differentiated tissue, apply a material property to each tissue of the differentiated tissue within the generated 3-D model, generate a mesh of the 3-D model of the patient's lungs, calculate a displacement of the patient's lungs in a collapsed state based on the material property applied to the differentiated tissue and the generated mesh of the generated 3-D model, and display a collapsed lung model of the patient's lungs based on the calculated displacement of the patient's lungs.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

An image processing device acquires an image obtained by irradiating an area of a living body with light having a wavelength of 955 [nm] to 2025 [nm]. The image processing device inputs the acquired image to a learned model or a statistical model generated in advance for detecting, from the image, a tumor present in the area, and determines whether or not a tumor is present at each point in the image.

A method for non-invasive quantification of organ fat using a magnetic resonance approach includes: constructing a detection system; connecting a detection area; detection system startup; acquiring data; analyzing data; and performing horizontal data analysis. An external computer, a radio frequency (RF) subsystem, and a portable magnet module are used to construct a system for non-invasive quantification of organ fat based on low-field nuclear magnetic resonance (LF-NMR), which causes no damage, and achieves accurate and non-invasive quantification of organ fat. Specific pulse sequences are used to excite nuclear spin in a target region to generate LF-NMR, so as to achieve “one-click” detection, which is used for fast screening of related diseases such as non-alcoholic fatty liver disease (NAFLD). The system has accurate quantification, and is easy to operate without constraints of operator qualifications.

The present invention relates to a system for real-time determination of a local strain of a lung during artificial ventilation. The system comprises a device for electrical impedance tomography (EIT), which device is configured to capture an electrical impedance distribution along at least one two-dimensional section through a human thorax, and further comprises a device for assigning the captured electrical impedance distribution, which device is configured to divide the captured electrical impedance distribution at different times during the artificial ventilation into a multiplicity of EIT pixels and to assign a specific value of the electrical impedance at a specific time to a specific EIT pixel.