Improved Surface-Based Registration of CT and Intraoperative 3D Ultrasound of Bones. (3rd June 2018)

• Record Type: Journal Article
• Authors: Fanti, Zian; Torres, Fabian; Hazan-Lasri, Eric; Gastelum-Strozzi, Alfonso; Ruiz-Huerta, Leopoldo; Caballero-Ruiz, Alberto; Cosío, F. Arámbula
• Other Names: Moazen Mehran Academic Editor.
• Is Part Of: Journal of healthcare engineering. Volume 2018(2018)
• Publication Date: 2018-06-03
• Subjects: Hospital buildings -- Environmental engineering -- Periodicals; Medical technology -- Periodicals; Medical informatics -- Periodicals; 610.28
• DOI: 10.1155/2018/2365178
• Languages: English
• ISSNs: 2040-2295

Abstract

Abstract : 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 of0.34 ⁡ mm (SD = 0.26 ⁡ mm ) and a registration accuracy error of0.64 ⁡ mm (SD = 0.49 ⁡ mm ).