Smith & Nephew Orthopaedics Ag

Smith + Nephew

Smith Nephew Asia Pacific Pte. Limited

Smith & Nephew, Inc.

Smith & Nephew Asia Pacific Pte. Limited

Nathan Anil Netravali

Paul Alexander Torrie

Brian William Quist

Vaibhav Srivastava

Systems for fusing arthroscopic video data are described. A system comprises an arthroscopic assembly, an inertial measurement unit (IMU) mounted on the arthroscopic assembly, a processor, and a processor-readable storage medium. An arthroscopic surgical plan, images from the arthroscopic assembly, and measurements from the IMU may be obtained. The images and the measurements may be combined to form a data combination. The data combination may be filtered to form a fused data set. The fused data set may control a device. A map of an arthroscopic surgical site may be created based on the fused data set, and a position of the arthroscopic assembly with respect to the arthroscopic surgical site may be calculated. The arthroscopic surgical plan may be updated based on at least one of the map of the arthroscopic surgical site and the position of the arthroscopic assembly.

Systems and methods for fusing arthroscopic video data

Surgical methods and devices that facilitate registration of arthroscopic video to preoperative models are disclosed. With this technology, a machine learning model is applied to diagnostic video data captured via an arthroscope to identify an anatomical structure. An anatomical structure in a three-dimensional (3D) anatomical model is registered to the anatomical structure represented in the diagnostic video data. The 3D anatomical model is generated from preoperative image data. The anatomical structure is then tracked intraoperatively based on the registration and without requiring fixation of fiducial markers to the patient anatomy. A simulated projected view of the registered anatomical structure is generated from the 3D anatomical model based on a determined orientation of the arthroscope during capture of intraoperative video data. The simulated projected view is scaled and oriented based on one or more landmark features of the anatomical structure extracted from the intraoperative video data.

Methods for autoregistration of arthroscopic video images to preoperative models and devices thereof

Methods, non-transitory computer readable media, surgical tracking devices, and systems that facilitate improved tracking in surgical environments are disclosed. With this technology, a fiber optic shape sensing (FOSS) device is rigidly attached to patient anatomy and/or surgical instrument(s) to facilitate location and/or flexibility tracking. The data provided by the FOSS device can be analyzed and registered to preoperative or intraoperative 3D anatomy model(s). The FOSS device can be attached to a surgical instrument to provide intraoperative guidance, used to locate a hollow needle for tracking bones in a minimally invasive manner, and/or used to detect bending in an instrument such as an arthroscope or tissue removing burr shaft, for example. The tracked location and/or flexibility data provided by the FOSS device can also be used to automatically control the location and/or operation of a surgical instrument during a surgical proceeding to facilitate improved surgical accuracy and patient outcomes.

Surgical tracking methods and fiber optic shape sensing devices thereof

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Littleton, MA, United States of America

Nathan Anil Netravali