What is it about?
A split view of the operating field can confuse the surgeon and hinder the difficult task of orientating in the patient's anatomy and navigating to the surgical target. This work presents an efficient and low-cost computational method for merging multiple views of the operating field into a single image. This leaves space for further processing without compromising real-time operation. The method has been tested on an endoscope with three cameras in an aorta manikin for aortic valve replacement surgeries, but can be easily extended to other applications.
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Why is it important?
The stitching method proved to be a valuable tool for merging the views of three cameras, while keeping the computational cost low. This is essential nowadays, as surgery is increasingly moving towards the use of minimally invasive techniques that offer great benefits to the patient but reduce the surgeon's field of view and work space. The stitching method was tested on an innovative robot for aortic valve replacement and proved to help surgeons to safely release the aortic valve.
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This page is a summary of: Low-Computational Cost Stitching Method in a Three-Eyed Endoscope, Journal of Healthcare Engineering, June 2019, Hindawi Publishing Corporation,
DOI: 10.1155/2019/5613931.
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