{Reference Type}: Journal Article
{Title}: Contactless surface registration of featureless anatomy using structured light camera: application to fibula navigation in mandible reconstruction.
{Author}: Cuau L;De Boutray M;Cavalcanti Santos J;Zemiti N;Poignet P;
{Journal}: Int J Comput Assist Radiol Surg
{Volume}: 18
{Issue}: 11
{Year}: 2023 Nov 4
{Factor}: 3.421
{DOI}: 10.1007/s11548-023-02966-3
{Abstract}: <B>OBJECTIVE: </B>Mandibular reconstruction using fibula free flap is a challenging surgical procedure. To assist osteotomies, computer-assisted surgery (CAS) can be used. Nevertheless, precise registration is required and often necessitates anchored markers that disturb the patient and clinical flow. This work proposes a new contactless surface-based method adapted to featureless anatomies such as fibula to achieve a fast, precise, and reproducible registration.<BR><B>METHODS: </B>Preoperatively, a CT-scan of the patient is realized and osteotomies are virtually planned. During surgery, a structured light camera digitizes the fibula. The obtained intraoperative point cloud is coarsely registered with the preoperative model using 3 points defined in the CT-scan and located on the patient's bone with a laser beam. Then, a fine registration is performed using an ICP algorithm. The registration accuracy was evaluated comparing the position of points engraved in a 3D-printed fibula with their position in the registered model and evaluating resulting osteotomies. Accuracy and execution time were compared to a conventional stylus-based registration method. The work was validated in vivo.<BR><B>RESULTS: </B>The experiment performed on a 3D-printed model showed that execution time is equivalent to surface-based registration using a stylus, with a better accuracy (mean TRE of 0.9 mm vs 1.3 mm using stylus) and guarantee good osteotomies. The preliminary in vivo study proved the feasibility of the method.<BR><B>CONCLUSIONS: </B>The proposed contactless surface-based registration method using structured light camera gave promising results in terms of accuracy and execution speed and should be useful to implement CAS for mandibular reconstruction.