An algorithm for automatic surface labeling of planar surgical resections

MILANO FE; RITACCO LE; FARFALLI GL

Journal of physics: Conference Series

Institute of Physics publishing

Año: 2011

1742-6588

Three dimensional (3D) preoperative planning and navigation in bone tumor resections have been used in the last ve years with good results. The purpose of this study is to develop a method capable of detecting and labeling the nearly planar surface generated by the cutting saw in the surgical specimen taken o the patient during the resection procedure. This surface area labeling is fundamental to track the path that the cutting saw took during the surgery and compare it to the planned cutting plane. The algorithm presented here works by using a 3D reconstruction of the surgical specimen computed tomography (CT) scan, registered against the 3D reconstruction of the preoperative patient CT scan, and the cutting plane dened during surgical planning. The results show a high labeling accuracy (a matching mean of 98.5%) and a non signicant accuracy variation for a range of distance and angle osets.