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Tümer N, Kok AC, Vos FM, Streekstra GJ, Askeland C, Tuijthof GJM, Zadpoor AA. Three-Dimensional Registration of Freehand-Tracked Ultrasound to CT Images of the Talocrural Joint. SENSORS (BASEL, SWITZERLAND) 2018; 18:E2375. [PMID: 30037099 PMCID: PMC6068753 DOI: 10.3390/s18072375] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 07/09/2018] [Accepted: 07/19/2018] [Indexed: 12/11/2022]
Abstract
A rigid surface⁻volume registration scheme is presented in this study to register computed tomography (CT) and free-hand tracked ultrasound (US) images of the talocrural joint. Prior to registration, bone surfaces expected to be visible in US are extracted from the CT volume and bone contours in 2D US data are enhanced based on monogenic signal representation of 2D US images. A 3D monogenic signal data is reconstructed from the 2D data using the position of the US probe recorded with an optical tracking system. When registering the surface extracted from the CT scan to the monogenic signal feature volume, six transformation parameters are estimated so as to optimize the sum of monogenic signal features over the transformed surface. The robustness of the registration algorithm was tested on a dataset collected from 12 cadaveric ankles. The proposed method was used in a clinical case study to investigate the potential of US imaging for pre-operative planning of arthroscopic access to talar (osteo)chondral defects (OCDs). The results suggest that registrations with a registration error of 2 mm and less is achievable, and US has the potential to be used in assessment of an OCD' arthroscopic accessibility, given the fact that 51% of the talar surface could be visualized.
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Affiliation(s)
- Nazlı Tümer
- Department of Biomechanical Engineering, Delft University of Technology (TU Delft), Mekelweg 2, 2628 CD Delft, The Netherlands.
| | - Aimee C Kok
- Orthopaedic Research Center Amsterdam, Academic Medical Centre (AMC), Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
| | - Frans M Vos
- Department of Imaging Science and Technology, Quantitative Imaging Group, Delft University of Technology (TU Delft), Lorentzweg 1, 2628 CJ Delft, The Netherlands.
- Department of Radiology, Academic Medical Centre (AMC), Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
| | - Geert J Streekstra
- Department of Radiology, Academic Medical Centre (AMC), Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
| | | | - Gabrielle J M Tuijthof
- Orthopaedic Research Center Amsterdam, Academic Medical Centre (AMC), Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
- Zuyd University of Applied Sciences, Research Centre Smart Devices, Nieuw Eyckholt 300, 6419 DJ Heerlen, The Netherlands.
| | - Amir A Zadpoor
- Department of Biomechanical Engineering, Delft University of Technology (TU Delft), Mekelweg 2, 2628 CD Delft, The Netherlands.
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Mozes A, Chang TC, Arata L, Zhao W. Three-dimensional A-mode ultrasound calibration and registration for robotic orthopaedic knee surgery. Int J Med Robot 2009; 6:91-101. [PMID: 20014154 DOI: 10.1002/rcs.294] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Alon Mozes
- Department of Biomedical Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146, USA
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Megali G, Ferrari V, Freschi C, Morabito B, Cavallo F, Turini G, Troia E, Cappelli C, Pietrabissa A, Tonet O, Cuschieri A, Dario P, Mosca F. EndoCAS navigator platform: a common platform for computer and robotic assistance in minimally invasive surgery. Int J Med Robot 2008; 4:242-51. [DOI: 10.1002/rcs.203] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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