Various aspects of a method and system for detection of surgical gauze during anatomical surgery are disclosed herein. In accordance with an embodiment of the disclosure, the method is implementable in an image-processing engine, which is communicatively coupled to an image-capturing device that captures one or more video frames. The method includes the determination of a set of pixel characteristics based on color filtering of at least a portion of a video frame. Thereafter, one or more blocks of pixels of a portion of a surgical gauze are detected in the video frame based on the set of pixel characteristics. Further, additional pixels that correspond to a remaining portion of the surgical gauze are identified based on a plurality of metrics. The surgical gauze is recognized in the video frame based on the detection of the one or more blocks of pixels and the identification of the additional pixels.

A system and method for reconstructing locations of sensors in radiopaque images may estimate sensor locations in two groups of good radiographic images and use them to estimate candidate sensor locations in a group of bad radiographic images B1, . . . , Bn in which many sensors are indiscernible. A first iterative process pervading from the first image B1 to the last image Bn may determine a first set of candidate sensor locations, and a second iterative process pervading from the last image Bn to the first image B1 may determine a second set of candidate sensor location for each image. Location of a sensor in each image Bi may be estimated based on the pertinent first and second candidate sensor locations related, or determined for, the particular sensor in the particular image. Sensor locations still missing in the series of images are, then, estimated using the already estimated sensor locations.

A method for comparing videos of a surgical procedure is disclosed. The method comprising selecting a plurality of videos from a surgical video database. Each of the plurality of videos including video data of a first surgical procedure comprising a plurality of surgical steps. The method further including identifying a first surgical step included in the plurality of surgical steps within a first video segment in each of the plurality of videos. The method also including warping the first video segment to standardize a dimension of the first video segment in each of the plurality of videos.

A medical control device includes: a captured image acquisition unit configured to acquire a captured image generated by an image sensor capturing a subject image introduced by an endoscope; a luminance calculation unit configured to calculate a luminance level of the subject image included in the captured image; and a dimming controller configured to control a light amount of irradiation light onto a subject and an electronic shutter of the image sensor based on the luminance level, and execute first dimming control of narrowing the electronic shutter before reducing the light amount as the luminance level increases.

In general, embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for performing mixed reality processing using at least one of depth-based partitioning of a point cloud capture data object, object-based partitioning of a point cloud capture data object, mapping a partitioned point cloud capture data object to detected objects of a three-dimensional scan data object, performing noise filtering on point cloud capture data objects based at least in part on geometric inferences from three-dimensional scan data objects, and performing geometrically-aware object detection using point cloud capture data objects based at least in part on geometric inferences from three-dimensional scan data objects.

The present invention relates to a dental tool system, comprising a detection system (101) for detecting a spatial position (103-Z) of a tooth (115) or a tooth situation and a spatial tool position (103-W) of a tool (107); and a device (105) for controlling or regulating the tool (107) on the basis of the detected tool position (103-W) in relation to the position (103-Z) of the tooth (115) or the tooth situation.

Surgical kit inspection systems and methods are provided for inspecting surgical kits having parts of different types. The surgical kit inspection system comprises a vision unit including a first camera unit and a second camera unit to capture images of parts of a first type and a second type in each kit and to capture images of loose parts from each kit that are placed on a light surface. A robot supports the vision unit to move the first and second camera units relative to the parts in each surgical kit. One or more controllers obtain unique inspection instructions for each of the surgical kits to control inspection of each of the surgical kits and control movement of the robot and the vision unit accordingly to provide output indicating inspection results for each of the surgical kits.

Systems, methods, and apparatus are disclosed for determining quantitative hormone and chemical analyte results from qualitative test results. An image is taken of an ovulation test device. The image is analyzed to identify a color intensity ratio (T/C ratio) between a color density of a test-line to a color density of a control-line. Additionally, a quantitative substance level may be determined using the T/C ratio, by identifying the type of test device and referencing a data structure that relates quantitative substance levels to T/C ratios for the identified type of test device.

An exemplary processing system of a computer-assisted surgical system identifies an object in a surgical space, accesses a model of the object, identifies a pose of the object in the surgical space, aligns the model with the pose of the object to define depth data for the model in the surgical space, and generates a depth map in the surgical space for at least a portion of the object based on the depth data for the model. Corresponding systems and methods are also described.

A system and method of operating a surgical navigation system to determine the location of a point of interest (POI) in a 3D coordinate frame of a surgical tool (tool frame) using a calibrated imaging device to capture an image of a portion of the surgical tool's surface the calibrated imaging device having calibration data that enables a processor of the surgical navigation system to map from a 2D location in the image to a projection line in a 3D coordinate frame of the imaging device (image frame). The system is operated to determine a mapping between an image frame and a tool frame. The processor is operated to determine the location of the POI in the tool frame based on the image and the mapping between the image frame and the tool frame.