
Proceedings Paper
Scaphoid fracture fixation: localization of bones through statistical model to ultrasound registrationFormat | Member Price | Non-Member Price |
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Paper Abstract
Percutaneous treatment of scaphoid fractures has found increasing interest in recent years as it promises to minimize soft-tissue damage, and minimizes the risk of infections and the loss of the joint stability. However, as this procedure is mostly performed on 2D fluoroscopic images, the accurate localization of the scaphoid bone for fracture fixation renders extremely challenging. In this work, we thus propose the integration of a statistical wrist model with 3D intraoperative ultrasound for accurate localization of the scaphoid bone. We utilize a previously developed statistical wrist model and register it to bone surfaces in ultrasound images using a probabilistic approach that involves expectation-maximization. We utilize local phase symmetry to detect features in noisy ultrasound images; in addition, we use shadow information in ultrasound images to enhance and set apart bone from other features. Feasibility experiments are performed by registering the wrist model to 3D ultrasound volumes of two different wrists at two different wrist positions. And the result indicates a potential of the proposed technique for localization of the scaphoid bone in ultrasound images.
Paper Details
Date Published: 18 March 2015
PDF: 7 pages
Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94150P (18 March 2015); doi: 10.1117/12.2081578
Published in SPIE Proceedings Vol. 9415:
Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster III; Ziv R. Yaniv, Editor(s)
PDF: 7 pages
Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94150P (18 March 2015); doi: 10.1117/12.2081578
Show Author Affiliations
Emran Mohammad Abu Anas, The Univ. of British Columbia (Canada)
Abtin Rasoulian, The Univ. of British Columbia (Canada)
Paul St. John, Kingston General Hospital (Canada)
David Pichora, Kingston General Hospital (Canada)
Parvin Mousavi, Queen's Univ. (Canada)
Abtin Rasoulian, The Univ. of British Columbia (Canada)
Paul St. John, Kingston General Hospital (Canada)
David Pichora, Kingston General Hospital (Canada)
Parvin Mousavi, Queen's Univ. (Canada)
Victoria A. Lessoway, BC Women’s Hospital (Canada)
Alexander Seitel, The Univ. of British Columbia (Canada)
Ilker Hacihaliloglu, Rutgers-The State University of New Jersey (United States)
Robert Rohling, The Univ. of British Columbia (Canada)
Purang Abolmaesumi, The Univ. of British Columbia (Canada)
Alexander Seitel, The Univ. of British Columbia (Canada)
Ilker Hacihaliloglu, Rutgers-The State University of New Jersey (United States)
Robert Rohling, The Univ. of British Columbia (Canada)
Purang Abolmaesumi, The Univ. of British Columbia (Canada)
Published in SPIE Proceedings Vol. 9415:
Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster III; Ziv R. Yaniv, Editor(s)
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