An algorithm for automatic surface labeling of planar surgical resections

FEDERICO MILANO; LUCAS RITACCO; GERMÁN FARFALLI; LUIS APONTE TINAO; FERNÁN GONZÁLEZ BERNALDO DEL QUIRÓS; MARCELO RISK

JOURNAL OF PHYSICS CONFERENCE SERIES

IOP Publishing

Año: 2011 vol. 332 p. 1 - 7

1742-6596

Three dimensional (3D) preoperative planning and navigation in bone tumor resections have been used in the last five 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 off 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 defined during surgical planning. The results show a high labeling accuracy (a matching mean of 98.5%) and a non significant accuracy variation for a range of distance and angle offsets.