BACKGROUND: Microsurgery is a widely performed process in neurosurgery. However, it is difficult for surgeons because manipulating small and long instruments under a microscope often restricts dexterity. Hand tremors are also an issue, as the accuracy required for microsurgery is very high. METHOD: A master-slave robotic platform has been developed for neurosurgery. A position-orientation decoupled design was employed to enhance positioning accuracy, and a smooth trajectory generation method was developed. RESULT: The robotic tasks exhibited improved positioning accuracy compared to manual tasks. Anastomoses of 0.3 and 0.5 mm artificial vessels were successfully performed in end-to-end and end-to-side fashion. CONCLUSION: With the robotic platform, the surgeon was able to perform a fine and complex task, which is very difficult with manual operation. The robotic system showed sufficient accuracy and dexterity, but with a longer task completion time. Further improvement of the dexterity and user interface is expected to realize better performance.
BACKGROUND: Microsurgery is a widely performed process in neurosurgery. However, it is difficult for surgeons because manipulating small and long instruments under a microscope often restricts dexterity. Hand tremors are also an issue, as the accuracy required for microsurgery is very high. METHOD: A master-slave robotic platform has been developed for neurosurgery. A position-orientation decoupled design was employed to enhance positioning accuracy, and a smooth trajectory generation method was developed. RESULT: The robotic tasks exhibited improved positioning accuracy compared to manual tasks. Anastomoses of 0.3 and 0.5 mm artificial vessels were successfully performed in end-to-end and end-to-side fashion. CONCLUSION: With the robotic platform, the surgeon was able to perform a fine and complex task, which is very difficult with manual operation. The robotic system showed sufficient accuracy and dexterity, but with a longer task completion time. Further improvement of the dexterity and user interface is expected to realize better performance.
Authors: Saúl A Heredia-Pérez; Kanako Harada; Miguel A Padilla-Castañeda; Murilo Marques-Marinho; Jorge A Márquez-Flores; Mamoru Mitsuishi Journal: Int J Med Robot Date: 2018-10-18 Impact factor: 2.547
Authors: Yaser Maddahi; Kourosh Zareinia; Liu Shi Gan; Christina Sutherland; Sanju Lama; Garnette R Sutherland Journal: Biomed Res Int Date: 2016-05-24 Impact factor: 3.411
Authors: Sotiris Avgousti; Eftychios G Christoforou; Andreas S Panayides; Sotos Voskarides; Cyril Novales; Laurence Nouaille; Constantinos S Pattichis; Pierre Vieyres Journal: Biomed Eng Online Date: 2016-08-12 Impact factor: 2.819