A visualization system including multiple light sources, an image sensor configured to detect imaging data from the multiple light sources, and a control circuit is disclosed. At least one of the light sources is configured to emit a pattern of structured light. The control circuit is configured to receive the imaging data from the image sensor, generate a three-dimensional digital representation of the anatomical structure from the pattern of structured light detected by the imaging data, obtain metadata from the imaging data, overlay the metadata on the three-dimensional digital representation, receive updated imaging data from the image sensor, and generate an updated three-dimensional digital representation of the anatomical structure based on the updated imaging data. The visualization system can be communicatively coupled to a situational awareness module configured to determine a surgical scenario based on input signals from multiple surgical devices.

A data processing method performed by a computer for detecting reflections of light pulses, comprising the steps: acquiring a camera signal representing a series of camera images of a camera viewing field; detecting whether the camera signal includes one or more light mark portions within the camera viewing field possibly representing a light pulse reflection; relating the detected light mark portions in the series of camera images to a pre-defined emission pattern of the light pulses; and determining that a light mark portion is a reflected light pulse, if the light mark portion in the series of camera images matches to the pre-defined emission pattern of the light pulses.

Provided is an image processing device including a matching unit that performs matching processing between a predetermined pattern on a surface of a 3D model of a biological tissue including an operating site generated on the basis of a preoperative diagnosis image and a predetermined pattern on a surface of the biological tissue included in a captured image during surgery, a shift amount estimation unit that estimates an amount of deformation from a preoperative state of the biological tissue on the basis of a result of the matching processing and information regarding a three-dimensional position of a photographing region which is a region photographed during surgery on the surface of the biological tissue, and a 3D model update unit that updates the 3D model generated before surgery on the basis of the estimated amount of deformation of the biological tissue.

A system for executing a three-dimensional (3D) intraoperative scan of a patient is disclosed. A 3D scanner controller projects the object points included onto a first image plane and the object points onto a second image plane. The 3D scanner controller determines first epipolar lines associated with the first image plane and second epipolar lines associated with the second image plane based on an epipolar plane that triangulates the object points included in the first 2D intraoperative image to the object points included in the second 2D intraoperative image. Each epipolar lines provides a depth of each object as projected onto the first image plane and the second image plane. The 3D scanner controller converts the first 2D intraoperative image and the second 2D intraoperative image to the 3D intraoperative scan of the patient based on the depth of each object point provided by each corresponding epipolar line.

Disclosed are systems, methods, and techniques for registering a HMD coordinate system of a head-mounted display (HMD) and a localizer coordinate system of a surgical navigation localizer. A camera of the HMD captures at least one image of a registration device having a registration coordinate system and a plurality of registration markers. The registration markers are analyzed in the at least one image to determine a pose of the HMD coordinate system relative to the registration coordinate system. One or more position sensors comprised in the localizer detect a plurality of tracking markers comprised in the registration device to determine a pose of the registration coordinate system relative to the localizer coordinate system. The HMD coordinate system and the localizer coordinate system are registered using the registration device, wherein positions of the registration markers are known with respect to positions of the tracking markers in the registration coordinate system.

Systems and methods are disclosed for use in electronic guidance systems for surgical navigation. A sensor is provided with an optical sensor, to provide optical information, and a measuring sensor, to provide measurements for determining a direction of gravity. The sensor communicates optical information and measurements to an inter-operative computing unit. In an embodiment, the inter-operative computing unit receives first optical information for a registration device and a patient anatomy and a measurement to determine a direction of gravity to perform a registration step. The inter-operative computing unit receives second optical information for the patient anatomy and an object and determines and presents measurements relative to the anatomy. The measurements relative to the anatomy are determined from the second optical information, and in relation to the registration of the anatomy of the patient.

A method for providing a feedback on a surgical outcome by a computer includes dividing, by the computer, actual surgical data obtained in an actual surgical process into a plurality of detailed surgical operations to obtain actual surgical cue sheet data composed of the plurality of detailed surgical operations, obtaining, by the computer, reference cue sheet data about the actual surgery, and comparing, by the computer, the actual surgical cue sheet data with the reference cue sheet data, and providing, by the computer, the feedback based on the comparison result.

A method for enhanced surgical navigation, and a system performing the method and displaying graphical user interfaces associated with the method. A 3D spatial map of a surgical site is generated using a 3D endoscope including a camera source and an IR scan source. The method includes detecting a needle tip protruding from an anatomy and determining a needle protrusion distance corresponding to a distance between the needle tip and a surface of the anatomy using the 3D spatial map. A position of a surgical tool in the 3D spatial map is detected and a determination is made by the system indicative of whether the needle protrusion distance is sufficient for grasping by the surgical tool. A warning is generated when it is determined that the needle protrusion distance is not sufficient for grasping by the surgical tool.

Disclosed is an image processing device for estimating a position of an endoscope in a model of the human airways using a first machine learning data architecture trained to determine a set of anatomic reference positions, said image processing device comprising a processing unit operationally connectable to an image capturing device of the endoscope, wherein the processing unit is configured to obtain a stream of recorded images; continuously analyse the recorded images of the stream of recorded images using the first machine learning data architecture to determine if an anatomic reference position of a subset of anatomic reference positions, from the set of anatomic reference positions, has been reached; and where it is determined that the anatomic reference position has been reached, update the endoscope position based on the anatomic reference position, and an endoscope system comprising an endoscope and an image processing device, a display unit comprising an image processing device, and a computer program product.

A system may comprise a tool including at least one reference feature. a processor, and a memory having computer readable instructions stored thereon. The computer readable instructions, when executed by the processor, may cause the system to receive image data including an image of the tool and the at least one reference feature, determine a pose of the tool from the image data, and modify the image data to visually decrement a portion of the image data corresponding to the at least one reference feature.