A surgical visualization system is disclosed. The surgical visualization system is configured to identify one or more structure(s) and/or determine one or more distances with respect to obscuring tissue and/or the identified structure(s). The surgical visualization system can facilitate avoidance of the identified structure(s) by a surgical device. The surgical visualization system can comprise a first emitter configured to emit a plurality of tissue-penetrating light waves and a second emitter configured to emit structured light onto the surface of tissue. The surgical visualization system can also include an image sensor configured to detect reflected visible light, tissue-penetrating light, and/or structured light. The surgical visualization system can convey information to one or more clinicians regarding the position of one or more hidden identified structures and/or provide one or more proximity indicators.

Apparatuses (e.g., systems, devices, etc.) and method for scanning both a subject's face as well as the subject's intra oral cavity to provide two-dimensional (2D) and/or three dimensional (3D) data that may be subsequently used in prosthodontic and orthodontic procedures, including smile planning (e.g., designing or modifying a subject's overall smile or facial aesthetics).

An endoscope system according to the present invention includes: an illumination unit that radiates illumination light onto a subject, the illumination light having a spatially non-uniform intensity distribution including a light section and a dark section in a beam cross section orthogonal to an optical axis; an imaging unit that images an illumination image of the subject irradiated with the illumination light; and a separation processor that generates two separate images from the illumination image. Among intensity values of pixels within the illumination image respectively corresponding to the light section, the dark section, and a section having intermediate intensity between the light section and the dark section, the separation processor generates the two separate images based on at least two of the intensity values.

A method of operating a surgical anchoring system can include inserting an outer sleeve of a surgical instrument at least partially into a first natural body lumen, the outer sleeve having a working channel. The method can include inserting a channel arm of the surgical instrument through the working channel of the outer sleeve and into a second natural body lumen. The channel arm has at least one first anchor member coupled thereto and a control actuator operatively coupled to the at least one first anchor member. The method can include expanding the at least one first anchor member from an unexpanded state to an expanded state to form an anchor point at a portion of the second natural body lumen. The method can include controlling, by the control actuator, a motion of the channel arm to selectively manipulate an organ associated with the first and second natural body lumens.

A method and system for identifying a GI (gastrointestinal) part associated with a location of a capsule device within a human GI tract are disclosed. According to this method, one or more structured-light images captured by the capsule device when the capsule device is inside the human GI tract are received, where the structured-light images are captured by projecting a plurality of structured light beams from the capsule device onto a surrounding lumen wall. Distance information is derived based on the structured-light images for a target set of measuring rays from the capsule device to the surrounding lumen wall. The GI part associated with the location of the capsule device associated with a distance-measuring frame related to said one or more structured-light images is determined based on the distance information, where the GI part belongs to a group comprising a transverse colon.

A system comprises a dental tray comprising an array of fixed focus cameras, wherein each fixed focus camera of the first array of fixed focus cameras has a fixed position and orientation relative to one or more other fixed focus camera of the array of fixed focus cameras. The system further comprises a processing device to receive a plurality of images generated by the array of fixed focus cameras, stitch the plurality of images together based on calibration data specifying predetermined image stitching parameters for combining the plurality of images, wherein the predetermined image stitching parameters are based on predetermined fixed relative positions and orientations of fixed focus cameras from the array of fixed focus cameras, and generate a three-dimensional model of a plurality of teeth based on the stitched plurality of images.

A device for non-contact measurement includes a light source and a light pattern projector having a diffractive optical element. An imaging system images a target site illuminated by the light pattern projector. The light pattern projector and the imaging system are attached to a support in fixed relative positions. The support has a longitudinal axis parallel to an optical axis of the projector, and the projector and the imaging system are spaced apart along the longitudinal axis. The light source emits a plurality of light beams of different colors, each one being a coherent beam optically coupled to the diffractive optical element. The diffractive optical element diffracts the plurality of light beams according to different diffraction angles resulting in separate patterns. The processing unit determines a measurement based on at least two positions automatically recognized in data acquired from a single one of the separate patterns.

An apparatus, system and process for utilizing dual complementary pattern illumination of a scene when performing depth reconstruction of the scene are described. The method may include projecting a first reference image and a complementary second reference image on a scene, and capturing first image data and second image data including the first reference image and the complementary second reference image on the scene. The method may also include identifying features of the first reference image from features of the complementary second reference image. Furthermore, the method may include performing three-dimensional (3D) scene reconstruction for image data captured by the imaging device based on the identified features in the first reference image.

Disclosed herein are various embodiments related generally to computer vision, graphics, image scanning, and image processing as well as associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to form at least three-dimensional models or images of objects and environments.

An optical probe includes an optical source that generates an optical beam that propagates from a proximal end to a distal end of an optical fiber that imparts a transformation of a spatial profile of the optical beam. An optical control device imparts a compensating spatial profile on the optical beam that at least partially compensates for the transformation of the spatial profile of the optical beam imparted by the optical fiber in response to a control signal from a signal processor. A distal optical source generates a calibration light that propagates through the one or more optical waveguides from the distal end to the proximal end of the optical fiber. An optical detector detects the calibration light and generates electrical signals in response to the detected calibration light. The signal processor generates the control signal to instruct the optical control device to impart the compensating spatial profile on the optical beam that at least partially compensates for the transformation of the spatial profile of the optical beam imparted by the optical fiber.