Abstract: Various aspects of a method and system to localize surgical tools 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 determination of one or more physical characteristics of one or more surgical tools present in the one or more video frames, based on one or more color and geometric constraints. Thereafter, two-dimensional (2D) masks of the one or more surgical tools are detected, based on the one or more physical characteristics of the one or more surgical tools. Further, poses of the one or more surgical tools are estimated, when the 2D masks of the one or more surgical tools are occluded at tips and/or ends of the one or more surgical tools.

Abstract: Various aspects of a system and method for smoke detection during an anatomical surgery are disclosed herein. In accordance with an embodiment of the disclosure, the method is implementable in a surgical scene analysis engine, which is communicatively coupled to an image-capturing device that captures one or more video frames. The method includes the estimation of a partially visible region in a current video frame, based on a temporal difference between the current video frame and a previous video frame from the one or more video frames. Thereafter, one or more candidate pixels are detected in the estimated partially visible region in the current video frame. Further, a smoke region is determined in the partially visible region, based on pruning of one or more candidate pixels.

Abstract: Methods, systems, and computer readable media for real-time 2D/3D deformable registration using metric learning are disclosed. According to one aspect, a method for real-time 2D/3D deformable registration using metric learning includes creating a catalogue of simulated 2D projection images based on a reference 3D image and a shape space of 3D deformations, where each entry in the catalogue is created by: applying to the reference 3D image a set of deformation parameters from the shape space of deformations; simulating a 2D projection of the result; associating the simulated 2D projection image with the deformation parameters used to create the simulated 2D projection image; and storing the simulated 2D projection image and associated deformation parameters in the catalogue.

Abstract: A method (100) that registers a 3D heart volume (112, 114) obtained from either a pre-operative MR image or CT image (102) to an intra-operative fluoroscopic image using a mesh of the heart structure (106) as the basis for the registration.

Abstract: A method (100) that registers a 3D heart volume (112, 114) obtained from either a pre-operative MR image or CT image (102) to an intra-operative fluoroscopic image using a mesh of the heart structure (106) as the basis for the registration.