Literature DB >> 16410230

A system for ultrasound-guided computer-assisted orthopaedic surgery.

Thomas Kuiran Chen1, Purang Abolmaesumi, David R Pichora, Randy E Ellis.   

Abstract

Current computer-assisted orthopedic surgery (CAOS) systems typically use preoperative computed tomography (CT) and intraoperative fluoroscopy as their imaging modalities. Because these imaging tools use X-rays, both patients and surgeons are exposed to ionizing radiation that may cause long-term health damage. To register the patient with the preoperative surgical plan, these techniques require tracking of the targeted anatomy by invasively mounting a tracking device on the patient, which results in extra pain and may prolong recovery time. The mounting procedure also leads to a major difficulty of using these approaches to track small bones or mobile fractures. Furthermore, it is practically impossible to mount a heavy tracking device on a small bone, which thus restricts the use of CAOS techniques. This article presents a novel CAOS method that employs 2D ultrasound (US) as the imaging modality. Medical US is non-ionizing and real-time, and our proposed method does not require any invasive mounting procedures. Experiments have shown that the proposed registration technique has sub-millimetric accuracy in localizing the best match between the intraoperative and preoperative images, demonstrating great potential for orthopedic applications. This method has some significant advantages over previously reported US-guided CAOS techniques: it requires no segmentation and employs only a few US images to accurately and robustly localize the patient. Preliminary laboratory results on both a radius-bone phantom and human subjects are presented.

Entities:  

Mesh:

Year:  2005        PMID: 16410230     DOI: 10.3109/10929080500390017

Source DB:  PubMed          Journal:  Comput Aided Surg        ISSN: 1092-9088


  6 in total

1.  Minimally invasive registration for computer-assisted orthopedic surgery: combining tracked ultrasound and bone surface points via the P-IMLOP algorithm.

Authors:  Seth Billings; Hyun Jae Kang; Alexis Cheng; Emad Boctor; Peter Kazanzides; Russell Taylor
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-04-18       Impact factor: 2.924

2.  Enhancement of bone shadow region using local phase-based ultrasound transmission maps.

Authors:  Ilker Hacihaliloglu
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-03-11       Impact factor: 2.924

3.  Ultrasound imaging and segmentation of bone surfaces: A review.

Authors:  Ilker Hacihaliloglu
Journal:  Technology (Singap World Sci)       Date:  2017-03-31

4.  Comparison of Precision between Optical and Electromagnetic Navigation Systems in Total Knee Arthroplasty.

Authors:  Seung Joon Rhee; Shi Hwan Park; He Myung Cho; Jeung Tak Suh
Journal:  Knee Surg Relat Res       Date:  2014-12-02

5.  A Novel Design of N-Fiducial Phantom for Automatic Ultrasound Calibration.

Authors:  Maria Chatrasingh; Jackrit Suthakorn
Journal:  J Med Phys       Date:  2019 Jul-Sep

Review 6.  Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review.

Authors:  Jan Kubicek; Filip Tomanec; Martin Cerny; Dominik Vilimek; Martina Kalova; David Oczka
Journal:  Sensors (Basel)       Date:  2019-11-27       Impact factor: 3.576

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.