Computer Vision News - February 2022

45 Intra-op Virtual Measurements are known as well. Dedicated deep learning based tracking algorithms can track the tools throughout the procedure, and at any given moment the image can be calibrated using the camera parameters and the tool dimensions. The surgical tools serve as a virtual ruler instead of the actual one. Now the surgeon can measure organ dimensions within the field-of-view, with absolute precision . This implementation even allows measurements in 3D.  Using this technology enables surgeons to measure lengths which were only estimated before, with certainty and accuracy. Harnessing Artificial Intelligence to assist in Robotic-Assisted Surgeries improves surgical accuracy and clinical outcome. RSIP Vision has the experience andexpertise to implement this technology quickly and efficiently. Contact us today for more information! be accurately measured. Currently, to measure a distance in laparoscopic or Robotic-Assisted Surgeries, the surgeon can perform an estimation based on their surgical experience. Needless to say, this method is highly subjective and lacks accuracy . Another method is to introduce an actual ruler into the image and inserting a foreign object into the body is never ideal. RSIP Vision established an innovative method to allow measurements in real time without additional hardware . To perform measurements within an image, the following are required: 1. Camera calibration parameters 2. Known dimensions in the image The camera parameters can be obtained from the system in use. Surgical tools are standardized, therefore their dimensions