Improved Surface-Based Registration of CT and Intraoperative 3D Ultrasound of Bones
| Autor: | Alfonso Gastelum Strozzi, Alberto Caballero-Ruiz, Leopoldo Ruiz-Huerta, Fabian Torres, F. Arámbula Cosío, Zian Fanti, Eric Hazan-Lasri |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Diagnostic Imaging
medicine.medical_specialty lcsh:Medical technology Article Subject Biomedical Engineering Health Informatics computer.software_genre Imaging phantom 030218 nuclear medicine & medical imaging Intraoperative ultrasound 03 medical and health sciences 0302 clinical medicine Bones of Lower Extremity Voxel Medicine Humans Segmentation 3D ultrasound Orthopedic Procedures Tibia lcsh:R5-920 medicine.diagnostic_test business.industry Phantoms Imaging Ultrasound lcsh:R855-855.5 Surgery Computer-Assisted Orthopedic surgery Surgery business Nuclear medicine lcsh:Medicine (General) computer 030217 neurology & neurosurgery Biotechnology Research Article |
| Zdroj: | Journal of Healthcare Engineering Journal of Healthcare Engineering, Vol 2018 (2018) |
| ISSN: | 2040-2295 |
| DOI: | 10.1155/2018/2365178 |
| Popis: | The intraoperative registration of preoperative CT volumes is a key process of most computer-assisted orthopedic surgery (CAOS) systems. In this work, is reported a new method for automatic registration of long bones, based on the segmentation of the bone cortical in intraoperative 3D ultrasound images. A bone classifier was developed based on features, obtained from the principal component analysis of the Hessian matrix, of every voxel in an intraoperative ultrasound volume. 3D freehand ultrasound was used for the acquisition of the intraoperative ultrasound volumes. Corresponding bone surface segmentations in ultrasound and preoperative CT imaging were used for the intraoperative registration. Validation on a phantom of the tibia produced encouraging results, with a maximum mean segmentation error of 0.34mm (SD=0.26mm) and a registration accuracy error of 0.64mm (SD=0.49mm). |
| Databáze: | OpenAIRE |
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