A surgical instrument navigation system is provided that visually simulates a virtual volumetric scene of a body cavity of a patient from a point of view of a surgical instrument residing in the cavity of the patient. The surgical instrument navigation system includes: a surgical instrument; an imaging device which is operable to capture scan data representative of an internal region of interest within a given patient; a tracking subsystem that employs electro-magnetic sensing to capture in real-time position data indicative of the position of the surgical instrument; a data processor which is operable to render a volumetric, perspective image of the internal region of interest from a point of view of the surgical instrument; and a display which is operable to display the volumetric perspective image of the patient.

The present specification relates to Master-Slave (MS) interferometry for sensing the axial position of an object subject to optical coherence tomography (OCT) imaging, and to MS-OCT applied to curved and axially moving objects. The methods and apparatuses allow producing OCT signals from selected depths within the object irrespective of its axial position in respect to the imaging system. Images are obtained for curved objects that are flattened along a layer of interest in the object, images that are used to provide OCT angiography images less disturbed by axial movement or lateral scanning.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Provided herein are imaging systems for a patient including an imaging probe and an imaging assembly. The imaging probe includes: an elongate shaft with a proximal end, a distal portion, and a lumen extending between the proximal end and the distal portion; a rotatable optical core with a proximal end and a distal end, and at least a portion of the rotatable optical core is positioned within the lumen of the elongate shaft; and an optical assembly positioned proximate the distal end of the rotatable optical core, the optical assembly configured to direct light to tissue to be imaged and collect reflected light from the tissue to be imaged. The imaging assembly is constructed and arranged to optically couple to the imaging probe. The imaging assembly is configured to emit light into the imaging probe and receive the reflected light collected by the optical assembly.

An ablation catheter Has a spring assembly residing between an ablation head and a proximal catheter body. Three optical fibers extend through a lumen in the catheter body. Three mirrors supported by the ablation head face proximally but are spaced distally from the optical fibers. The mirrors are provided with a pattern of reflectance that varies along a radius from a central area of reflectance. Light of a respective defined power shines from each of the optical fibers to a corresponding one of the mirrors with a reflected percentage of the respective defined light power being reflected back to the optical fiber. A percentage of the reflected percentage of the respective defined light power is captured by and travels along each optical fiber to a dedicated light wave detector connected to a controller. From the percentage of the reflected percentage of the light of the respective defined power received by each detector, the controller is programmed to calculate whether an axial or lateral force is imparted to the ablation head and, if so, the magnitude and vector of those forces.

Systems and methods automatically locate optical surfaces of an eye and automatically generate surface models of the optical surfaces. A method includes OCT scanning of an eye. Returning portions of a sample beam are processed to locate a point on the optical surface and first locations on the optical surface within a first radial distance of the point. A first surface model of the optical surface is generated based on the location of the point and the first locations. Returning portions of the sample beam are processed so as to detect second locations on the optical surface beyond the first radial distance and within a second radial distance from the point. A second surface model of the optical surface is generated based on the location of the point on the optical surface and the first and second locations on the optical surface.

An apparatus for oral imaging has a light source energizable to generate a light frequency signal ranging from a minimum to a maximum frequency. An image acquisition apparatus scans the generated light frequency signal to successive positions on a sample surface and to combine a returned signal from each successive position with the generated light frequency signal. The image acquisition apparatus has a detector that obtains a beat frequency signal from the combined returned signal and the generated light frequency signal. A processor that is in signal communication with the detector generates a processed beat signal from the combined signals, wherein the processed beat signal is indicative of the distance from the tunable laser source to the sample surface at the corresponding position. A display is in signal communication with the processor and is energizable to display distance data according to the processed beat signal for each scanned position.

A classification training method for training classifiers adapted to identify specific mutations associated with different cancer including identifying driver mutations. First cells from mutation cell lines derived from conditions having the number of driver mutations are acquired and 3D image feature data from the number of first cells is identified. 3D cell imaging data from the number of first cells and from other malignant cells is generated, where cell imaging data includes a number of first individual cell images. A second set of 3D cell imaging data is generated from a set of normal cells where the number of driver mutations are expected to occur, where the second set of cell imaging data includes second individual cell images. Supervised learning is conducted based on cell line status as ground truth to generate a classifier.

Disclosed is an optical probe of an optical coherence tomography (OCT) system according to an exemplary embodiment of the present disclosure. The optical probe of the OCT system includes: an optical fiber receiving light generated from a light source and transferring the received light to a plurality of lenses and receiving light reflected from tissue from the plurality of lenses and transferring the received light to an optical coherence system; a plurality of lenses including a first lens positioned at a distal end of the optical fiber and a second lens positioned at a predetermined point in a longitudinal direction of the optical fiber; and a sheath capable of accommodating the optical fiber therein.

An imaging system may include: a first light source configured to emit a first source spectrum of collimated light; a second light source configured to emit a second source spectrum of light; a probe head configured to direct the first source spectrum and the second source spectrum toward tissue in an oral cavity and to collect a first feedback spectrum of light and a second feedback spectrum of light; an interferometry sub-system to generate an optical feedback signal using the first source spectrum; at least one optical sensor array for receiving the optical feedback signal and the second feedback spectrum; and at least one programmable processor to generate: a first diagnostic image of the tissue using the optical feedback signal; a second diagnostic image of the tissue using the second feedback spectrum; and a third diagnostic image from a combination of the first diagnostic image and the second diagnostic image.