Abstract: A computer-implemented method of object enhancement in endoscopy images includes capturing an image of an object within a surgical operative site via an imaging device, determining a size of the object based on the captured image of the object, displaying the captured image of the object, and displaying on the displayed captured image of the object a representation of the determined size of the object.

Abstract: A computer-implemented method of object enhancement in endoscopy images includes capturing an image of an object within a surgical operative site via an imaging device, determining a size of the object based on the captured image of the object, displaying the captured image of the object, and displaying on the displayed captured image of the object a representation of the determined size of the object.

Abstract: Disclosed are systems, apparatus, and methods for performing robotic surgery, including a surgical robot having a plurality of robotic arms, an image capture device operably coupled to a first one of the plurality of robotic arms and a light source, a surgical tool operably coupled to a second one of the plurality of robotic arms and a light sensor, and a computing device including a processor and a memory storing instructions which, when executed by the processor, cause the computing device to determine whether the light sensor coupled to the surgical tool is detecting at least a predetermined amount of light emitted by the light source coupled to the image capture device, and provide a notification when it is determined that the light sensor coupled to the surgical tool is not detecting at least the predetermined amount of light emitted by the light source coupled to the image capture device.

Abstract: A computer-implemented method of object enhancement in endoscopy images includes capturing an image of an object within a surgical operative site via an imaging device, determining a size of the object based on the captured image of the object, displaying the captured image of the object, and displaying on the displayed captured image of the object a representation of the determined size of the object.

Abstract: An Echo PIV analysis process, apparatus and algorithm are developed to reduce noise and analyze DICOM images representing a fluid flow of a plurality of particles. A plurality of DICOM images representing sequential image pairs of a plurality of particles is received. The plurality of DICOM sequential image pairs are grouped. The sequential image pairs are correlated to create N cross correlation maps. An average cross-correlation transformation is applied to each cross correlation map to create an image pair vector map for each image pair. A maximizing operation is applied to one or more of the N adjacent image pair vector maps to create a modified image pair vector map for the one or more of the N image pairs. The maps are combined to create a corresponding temporary vector map that are averaged to obtain a mean velocity vector field of the sequential image pairs.