Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures

Francesca Manni, Xin Liu, Ronald Holthuizen, Sveta Zinger, Fons van der Sommen, Caifeng Shan, Marco Mamprin, Gustav Burstrom , Adrian Elmi-Terander, Erik Edstrom, Peter de With

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

Surgical navigation systems can enhance surgeon vision and form a reliable image-guided tool for complex interventions as spinal surgery. The main prerequisite is successful patient tracking which implies optimal motion compensation. Nowadays, optical tracking systems can satisfy the need of detecting patient position during surgery, allowing navigation without the risk of damaging neurovascular structures. However, the spine is subject to vertebrae movements which can impact the accuracy of the system. The aim of this paper is to investigate the feasibility of a novel approach for offering a direct relationship to movements of the spinal vertebra during surgery. To this end, we detect and track patient spine features between different image views, captured by several optical cameras, for vertebrae rotation and displacement reconstruction. We analyze patient images acquired in a real surgical scenario by two gray-scale cameras, embedded in the flat-panel detector of the C-arm. Spine segmentation is performed and anatomical landmarks are designed and tracked between different views, while experimenting with several feature detection algorithms (e.g. SURF, MSER, etc.).
The 3D positions for the matched features are reconstructed and the triangulation errors are computed for an accuracy assessment. The analysis of the triangulation accuracy reveals a mean error of 0.38~mm, which demonstrates the feasibility of spine tracking and strengthens the clinical application of optical imaging for spinal navigation.
Originele taal-2Engels
Titel2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Plaats van productiePiscataway
UitgeverijIEEE Engineering in Medicine and Biology Society
Pagina's3909-3914
Aantal pagina's6
ISBN van elektronische versie978-1-5386-1312-2
ISBN van geprinte versie978-1-5386-1311-5
DOI's
StatusGepubliceerd - 7 okt 2019
Evenement41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019)
- City Cube Berlin, Berlin, Duitsland
Duur: 23 jul 201927 jul 2019
https://embc.embs.org/2019/

Congres

Congres41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019)
Verkorte titelEMBC 2019
LandDuitsland
StadBerlin
Periode23/07/1927/07/19
Internet adres

Vingerafdruk

Surgery
Image analysis
Triangulation
Navigation
Cameras
Motion compensation
Navigation systems
Detectors
Imaging techniques

Citeer dit

Manni, F., Liu, X., Holthuizen, R., Zinger, S., van der Sommen, F., Shan, C., ... de With, P. (2019). Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (blz. 3909-3914). Piscataway: IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/EMBC.2019.8856304
Manni, Francesca ; Liu, Xin ; Holthuizen, Ronald ; Zinger, Sveta ; van der Sommen, Fons ; Shan, Caifeng ; Mamprin, Marco ; Burstrom , Gustav ; Elmi-Terander, Adrian ; Edstrom, Erik ; de With, Peter. / Towards non-invasive patient tracking : optical image analysis for spine tracking during spinal surgery procedures. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Piscataway : IEEE Engineering in Medicine and Biology Society, 2019. blz. 3909-3914
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title = "Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures",
abstract = "Surgical navigation systems can enhance surgeon vision and form a reliable image-guided tool for complex interventions as spinal surgery. The main prerequisite is successful patient tracking which implies optimal motion compensation. Nowadays, optical tracking systems can satisfy the need of detecting patient position during surgery, allowing navigation without the risk of damaging neurovascular structures. However, the spine is subject to vertebrae movements which can impact the accuracy of the system. The aim of this paper is to investigate the feasibility of a novel approach for offering a direct relationship to movements of the spinal vertebra during surgery. To this end, we detect and track patient spine features between different image views, captured by several optical cameras, for vertebrae rotation and displacement reconstruction. We analyze patient images acquired in a real surgical scenario by two gray-scale cameras, embedded in the flat-panel detector of the C-arm. Spine segmentation is performed and anatomical landmarks are designed and tracked between different views, while experimenting with several feature detection algorithms (e.g. SURF, MSER, etc.).The 3D positions for the matched features are reconstructed and the triangulation errors are computed for an accuracy assessment. The analysis of the triangulation accuracy reveals a mean error of 0.38~mm, which demonstrates the feasibility of spine tracking and strengthens the clinical application of optical imaging for spinal navigation.",
author = "Francesca Manni and Xin Liu and Ronald Holthuizen and Sveta Zinger and {van der Sommen}, Fons and Caifeng Shan and Marco Mamprin and Gustav Burstrom and Adrian Elmi-Terander and Erik Edstrom and {de With}, Peter",
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Manni, F, Liu, X, Holthuizen, R, Zinger, S, van der Sommen, F, Shan, C, Mamprin, M, Burstrom , G, Elmi-Terander, A, Edstrom, E & de With, P 2019, Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE Engineering in Medicine and Biology Society, Piscataway, blz. 3909-3914, Berlin, Duitsland, 23/07/19. https://doi.org/10.1109/EMBC.2019.8856304

Towards non-invasive patient tracking : optical image analysis for spine tracking during spinal surgery procedures. / Manni, Francesca; Liu, Xin; Holthuizen, Ronald ; Zinger, Sveta; van der Sommen, Fons; Shan, Caifeng; Mamprin, Marco; Burstrom , Gustav; Elmi-Terander, Adrian; Edstrom, Erik ; de With, Peter.

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Piscataway : IEEE Engineering in Medicine and Biology Society, 2019. blz. 3909-3914.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

TY - GEN

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T2 - optical image analysis for spine tracking during spinal surgery procedures

AU - Manni, Francesca

AU - Liu, Xin

AU - Holthuizen, Ronald

AU - Zinger, Sveta

AU - van der Sommen, Fons

AU - Shan, Caifeng

AU - Mamprin, Marco

AU - Burstrom , Gustav

AU - Elmi-Terander, Adrian

AU - Edstrom, Erik

AU - de With, Peter

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N2 - Surgical navigation systems can enhance surgeon vision and form a reliable image-guided tool for complex interventions as spinal surgery. The main prerequisite is successful patient tracking which implies optimal motion compensation. Nowadays, optical tracking systems can satisfy the need of detecting patient position during surgery, allowing navigation without the risk of damaging neurovascular structures. However, the spine is subject to vertebrae movements which can impact the accuracy of the system. The aim of this paper is to investigate the feasibility of a novel approach for offering a direct relationship to movements of the spinal vertebra during surgery. To this end, we detect and track patient spine features between different image views, captured by several optical cameras, for vertebrae rotation and displacement reconstruction. We analyze patient images acquired in a real surgical scenario by two gray-scale cameras, embedded in the flat-panel detector of the C-arm. Spine segmentation is performed and anatomical landmarks are designed and tracked between different views, while experimenting with several feature detection algorithms (e.g. SURF, MSER, etc.).The 3D positions for the matched features are reconstructed and the triangulation errors are computed for an accuracy assessment. The analysis of the triangulation accuracy reveals a mean error of 0.38~mm, which demonstrates the feasibility of spine tracking and strengthens the clinical application of optical imaging for spinal navigation.

AB - Surgical navigation systems can enhance surgeon vision and form a reliable image-guided tool for complex interventions as spinal surgery. The main prerequisite is successful patient tracking which implies optimal motion compensation. Nowadays, optical tracking systems can satisfy the need of detecting patient position during surgery, allowing navigation without the risk of damaging neurovascular structures. However, the spine is subject to vertebrae movements which can impact the accuracy of the system. The aim of this paper is to investigate the feasibility of a novel approach for offering a direct relationship to movements of the spinal vertebra during surgery. To this end, we detect and track patient spine features between different image views, captured by several optical cameras, for vertebrae rotation and displacement reconstruction. We analyze patient images acquired in a real surgical scenario by two gray-scale cameras, embedded in the flat-panel detector of the C-arm. Spine segmentation is performed and anatomical landmarks are designed and tracked between different views, while experimenting with several feature detection algorithms (e.g. SURF, MSER, etc.).The 3D positions for the matched features are reconstructed and the triangulation errors are computed for an accuracy assessment. The analysis of the triangulation accuracy reveals a mean error of 0.38~mm, which demonstrates the feasibility of spine tracking and strengthens the clinical application of optical imaging for spinal navigation.

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DO - 10.1109/EMBC.2019.8856304

M3 - Conference contribution

SN - 978-1-5386-1311-5

SP - 3909

EP - 3914

BT - 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - IEEE Engineering in Medicine and Biology Society

CY - Piscataway

ER -

Manni F, Liu X, Holthuizen R, Zinger S, van der Sommen F, Shan C et al. Towards non-invasive patient tracking: optical image analysis for spine tracking during spinal surgery procedures. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Piscataway: IEEE Engineering in Medicine and Biology Society. 2019. blz. 3909-3914 https://doi.org/10.1109/EMBC.2019.8856304