Assistance System for 3D Navigational Endocranial Procedures based on Image Acquisition

Abstract

Endoscopy involves no physical contact with human body where it uses the precise results with the accuracy of 2mm. Video based navigation is used to acquire those accuracy of endoscopic image. This surgical task requires precision which is conducted inside where it requires greater precision and accuracy. These images are taken before and after the surgery is completed. In some cases, endoscopy video consists of complications which consists of low texture, reflection. Since, images acquire doesn’t allow the precise location which performs the procedure. In this proposed approach. 3D navigation assistance to address those issues along with video to attain full clarity resolution. The video extraction produces features of an image and related feature points. Modify the two-dimensional coordinates when extraction is complete, then create matching images. Motion detection may be identified using a variety of techniques. Upon that basis of tracking, previous errors may be reduced and the operations can be evaluated as a whole. Video is used to extract image information and associated feature points. Once this is all done, let the system keep track of the 2D and 3D characteristics of the image and where they are located. Endoscopic skull surgery could be carried out effectively owing to this 3D image. Once the procedure is finished, we must determine the next motion detection point. Consequently, we discovered that with the use of trackers, we could provide an ideal situation with a precision of around 5 mm. Almost 50% of the original image's comparative percent of similarities are legitimate matches.