INVESTIGADORES
RISK Marcelo Raul
congresos y reuniones científicas
Título:
An algorithm for automatic surface labeling of planar surgical resections
Autor/es:
F E MILANO ; L E RITACCO ; G FARFALLI ; L APONTE-TINAO ; F GONZALEZ BERNALDO DE QUIROS ; M RISK
Lugar:
Mar del Plata
Reunión:
Congreso; XVIII Congreso Argentino de Bioingeniería; 2011
Institución organizadora:
Sociedad Argentina de Bioingeniería
Resumen:
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.