Validation of an algorithm for planar surgical resection reconstruction

Federico E. Milano; Lucas E. Ritacco; Germán L. Farfalli; Luis A. Aponte-Tinao; Fernán González Bernaldo de Quirós; Marcelo Risk

doi:10.1117/12.911622

17 February 2012 Validation of an algorithm for planar surgical resection reconstruction

Federico E. Milano, Lucas E. Ritacco, Germán L. Farfalli, Luis A. Aponte-Tinao, Fernán González Bernaldo de Quirós, Marcelo Risk

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Proceedings Volume 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling; 83162F (2012) https://doi.org/10.1117/12.911622
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Surgical planning followed by computer-assisted intraoperative navigation in orthopaedics oncology for tumor resection have given acceptable results in the last few years. However, the accuracy of preoperative planning and navigation is not clear yet. The aim of this study is to validate a method capable of reconstructing the nearly planar surface generated by the cutting saw in the surgical specimen taken off the patient during the resection procedure. This method estimates an angular and offset deviation that serves as a clinically useful resection accuracy measure. The validation process targets the degree to which the automatic estimation is true, taking as a validation criterium the accuracy of the estimation algorithm. For this purpose a manually estimated gold standard (a bronze standard) data set is built by an expert surgeon. The results show that the manual and the automatic methods consistently provide similar measures.

Citation Download Citation

Federico E. Milano, Lucas E. Ritacco, Germán L. Farfalli, Luis A. Aponte-Tinao, Fernán González Bernaldo de Quirós, and Marcelo Risk "Validation of an algorithm for planar surgical resection reconstruction", Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 83162F (17 February 2012); https://doi.org/10.1117/12.911622

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KEYWORDS

Surgery

Reconstruction algorithms

Tumors

Bone

Computed tomography

Oncology

Magnetic resonance imaging

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