gms | German Medical Science

Objective: The impaired visual field in neuroendoscopy hinders orientation and navigation and increases the surgical risk. With the new method of image mosaicing digital image analysis enables online the enlargement of the visual field. In the beginning this study gives an overview of the principles of image mosaicing. Additionally two different algorithms were compaired (algorithm of Kourogi (K), Log Search (LS)) in order to prove the practicability during surgical performance.

Methods: First video material of endoscopic operations was analysed. In a second step of our experiments different images from the ventricular system of anatomic specimen were sampled under different conditions and movements (linear and in circles). Different criteria for the quality of image mosaicing were chosen: subjective impression of a experienced surgeon, measurements for the quality of the created image like DiffAVG (Difference Average) and the time needed for creation of the mosaic (fps = frames per second).

Results: Image Mosaicing can be used in neuroendoscopy. It is easier to work with linear movements than with movements in circles. The Log Search algorithmus has major advantages and is therfor better for surgical interventions.

Conclusions: Image Mosacing has a high potential for endoscopic applications in skull base surgery. A combination with the former developed VN-neuronavigation system can improve image quality of the mosaic.