Abstract: A first ultrasonic beacon transmission includes a first pilot signal and a first encoded information signal. An apparatus may detect the first pilot signal and decode, based on the first pilot signal, the first encoded information signal to identify a medical system associated with the first ultrasonic beacon transmission. Based on the first encoded information signal, the apparatus may enter into a first pairing state in which the apparatus is communicatively paired with the medical system. While the apparatus is operating in the first pairing state and within a threshold time of entering the first pairing state, the apparatus may detect a second pilot signal included in a second ultrasonic beacon transmission, which also includes a second encoded information signal. Based on the detection of the second pilot signal within the threshold time, the apparatus may continue operating in the first pairing state without decoding the second encoded information signal.

Abstract: An exemplary image management system accesses semantic information regarding an anatomical object in a surgical space and registers, based at least in part on the semantic information regarding the anatomical object, a first dataset of a first visual representation of the surgical space with a second dataset of a second visual representation of the surgical space.

Abstract: An exemplary system includes a memory storing instructions and a processor communicatively coupled to the memory. The processor may be configured to execute the instructions to obtain one or more parameters of a non-robotic device in a surgical space, the non-robotic device engaged by a computer-assisted surgical system; generate, based on at least the one or more parameters of the non-robotic device, guidance content for use by the computer-assisted surgical system to facilitate guided teleoperation of the non-robotic device; and provide the guidance content to the computer-assisted surgical system.

Abstract: A device pairing system is configured to determine that an auxiliary device detects an ultrasonic beacon emitted by a beacon generator and identify, in response to the determination that the auxiliary device detects the ultrasonic beacon, a medical system associated with the ultrasonic beacon. The auxiliary device is further configured to communicatively pair, in response to the identification of the medical system, the auxiliary device with the identified medical system.

Abstract: An exemplary object masking system is configured to mask a recognized object during an application of a synthetic element to an original image. For example, the object masking system accesses a model of a recognized object depicted in an original image of a scene. The object masking system associates the model with the recognized object. The object masking system then generates presentation data for use by a presentation system to present an augmented version of the original image in which a synthetic element added to the original image is, based on the model as associated with the recognized object, prevented from occluding at least a portion of the recognized object. In this way, the synthetic element is made to appear as if located behind the recognized object. Corresponding systems and methods are also disclosed.

Abstract: An exemplary contextual assistance system identifies, during a surgical procedure, an operational context of the surgical procedure while a particular object is present at a surgical site depicted by a first version of an image. Based on the identified operational context, the contextual assistance system augments a depiction of the particular object within a second version of the image that is presented to a user associated with the surgical procedure. Corresponding systems and methods are also disclosed.

Abstract: An exemplary tissue volume detection system accesses, during a surgical procedure involving resecting a piece of tissue from a body, a plurality of depth datasets for the resected piece of tissue. Each of the plurality of depth datasets is captured as a different portion of a surface of the resected piece of tissue is presented to an imaging device by an instrument that holds the resected piece of tissue in a manner that sequentially presents the different portions of the surface to the imaging device. During the surgical procedure and based on the depth datasets, the system generates a three-dimensional (3D) occupancy map that includes a set of voxels identified to be occupied by the resected piece of tissue. Based on the 3D occupancy map and still during the surgical procedure, the system determines an estimated volume of the resected piece of tissue. Corresponding systems and methods are also disclosed.

Abstract: A medical system includes one or more processors. The processors are configured to perform operations including receiving image data associated with an anatomic feature from a first imaging device. The image data is associated with a first imaging device space. Probe data associated with the anatomic feature is obtained from a second imaging device. The probe data is associated with a second imaging device space. The probe data is registered to the image data to generate a first registration between the second imaging device space and the first imaging device space. Anatomic model associated with the anatomic feature is registered to the probe data to generate a second registration between a model space of the anatomic model and the second imaging device space. A third registration between the model space and the first imaging device space is generated based on the first registration and the second registration.

Abstract: An exemplary image registration system identifies a subsurface structure at a surgical site based on subsurface imaging data from a subsurface image scan at the surgical site. The image registration system uses the identified subsurface structure at the surgical site for a registration of endoscopic imaging data from an endoscopic imaging modality with additional imaging data from an additional imaging modality. Corresponding systems and methods are also disclosed.

Abstract: An exemplary system accesses imagery of a surgical space captured by different imaging modalities and, based on the accessed imagery, generates composite imagery that includes integrated representations of the surgical space as captured by the different imaging modalities. An exemplary composite image includes a representation of the surgical space as captured by a first imaging modality augmented with an integrated representation of the surgical space as captured by a second imaging modality. The integrated representation of the surgical space as captured by the second imaging modality may be selectively movable and may be generated based on first imagery of the surgical space captured by the first imaging modality and second imagery of the surgical space captured by the second imaging modality in a manner that provides a visually realistic appearance of depth.

Abstract: A composite medical imaging system may direct a display device to display an image captured by an imaging device and showing a view of a surgical area and display an augmentation region within the image and that shows supplemental content. The view of the surgical area shows surface anatomy located at the surgical area and an object located at the surgical area. The augmentation region creates an occlusion over at least a portion of the view of the surgical area. The system may detect an overlap in the image between at least a portion of the object and at least a portion of the augmentation region. In response to the detection of the overlap, the system may adjust the image to decrease an extent of the occlusion within the overlap by the augmentation region.

Abstract: A contact detection system is configured to classify each pixel in a plurality of pixels included in an ultrasound image captured by an ultrasound probe located within a patient as either showing tissue or showing non-tissue; determine an average pixel classification representative of a number of pixels classified as showing tissue compared to a number of pixels classified as showing non-tissue; determine, if the average pixel classification is above a first contact state threshold, that the ultrasound probe is in a first contact state that indicates that the ultrasound probe is in operative physical contact with the tissue; and determine, if the average pixel classification is below a second contact state threshold lower than the first contact state threshold, that the ultrasound probe is in a second contact state that indicates that the ultrasound probe is not in operative physical contact with the tissue.