Paper
19 November 2013 Preliminary results in large bone segmentation from 3D freehand ultrasound
Author Affiliations +
Proceedings Volume 8922, IX International Seminar on Medical Information Processing and Analysis; 89220F (2013) https://doi.org/10.1117/12.2041809
Event: IX International Seminar on Medical Information Processing and Analysis, 2013, Mexico City, Mexico
Abstract
Computer Assisted Orthopedic Surgery (CAOS) requires a correct registration between the patient in the operating room and the virtual models representing the patient in the computer. In order to increase the precision and accuracy of the registration a set of new techniques that eliminated the need to use fiducial markers have been developed. The majority of these newly developed registration systems are based on costly intraoperative imaging systems like Computed Tomography (CT scan) or Magnetic resonance imaging (MRI). An alternative to these methods is the use of an Ultrasound (US) imaging system for the implementation of a more cost efficient intraoperative registration solution. In order to develop the registration solution with the US imaging system, the bone surface is segmented in both preoperative and intraoperative images, and the registration is done using the acquire surface. In this paper, we present the a preliminary results of a new approach to segment bone surface from ultrasound volumes acquired by means 3D freehand ultrasound. The method is based on the enhancement of the voxels that belongs to surface and its posterior segmentation. The enhancement process is based on the information provided by eigenanalisis of the multiscale 3D Hessian matrix. The preliminary results shows that from the enhance volume the final bone surfaces can be extracted using a singular value thresholding.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zian Fanti, Fabian Torres, and Fernando Arámbula Cosío "Preliminary results in large bone segmentation from 3D freehand ultrasound", Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220F (19 November 2013); https://doi.org/10.1117/12.2041809
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Bone

Image segmentation

Image registration

Ultrasonography

Natural surfaces

Imaging systems

Surgery

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