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Schrott J, Affortunati S, Stadler C, Hintermüller C. DEIT-Based Bone Position and Orientation Estimation for Robotic Support in Total Knee Arthroplasty-A Computational Feasibility Study. SENSORS (BASEL, SWITZERLAND) 2024; 24:5269. [PMID: 39204964 PMCID: PMC11359506 DOI: 10.3390/s24165269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 08/09/2024] [Accepted: 08/13/2024] [Indexed: 09/04/2024]
Abstract
Total knee arthroplasty (TKA) is a well-established and successful treatment option for patients with end-stage osteoarthritis of the knee, providing high patient satisfaction. Robotic systems have been widely adopted to perform TKA in orthopaedic centres. The exact spatial positions of the femur and tibia are usually determined through pinned trackers, providing the surgeon with an exact illustration of the axis of the lower limb. The drilling of holes required for mounting the trackers creates weak spots, causing adverse events such as bone fracture. In the presented computational feasibility study, time differential electrical impedance tomography is used to locate the femur positions, thereby the difference in conductivity distribution between two distinct states s0 and s1 of the measured object is reconstructed. The overall approach was tested by simulating five different configurations of thigh shape and considered tissue conductivity distributions. For the cylinder models used for verification and reference, the reconstructed position deviated by about ≈1 mm from the actual bone centre. In case of models mimicking a realistic cross section of the femur position deviated between 7.9 mm 24.8 mm. For all models, the bone axis was off by about φ=1.50° from its actual position.
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Affiliation(s)
- Jakob Schrott
- Institute of Measurement Technology, Johannes Kepler University, 4020 Linz, Austria
| | - Sabrina Affortunati
- Institute of Measurement Technology, Johannes Kepler University, 4020 Linz, Austria
| | - Christian Stadler
- Department for Orthopedics and Traumatology, Kepler University Hospital, 4020 Linz, Austria
- Medical Faculty, Johannes Kepler University, 4020 Linz, Austria
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Zhang Y, Ye J, Jiao Y, Zhang W, Zhang T, Tian X, Shi X, Fu F, Wang L, Xu C. A pilot study of contrast-enhanced electrical impedance tomography for real-time imaging of cerebral perfusion. Front Neurosci 2022; 16:1027948. [PMID: 36507353 PMCID: PMC9729948 DOI: 10.3389/fnins.2022.1027948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 11/04/2022] [Indexed: 11/25/2022] Open
Abstract
Background Real-time detection of cerebral blood perfusion can prevent adverse reactions, such as cerebral infarction and neuronal apoptosis. Our previous clinical trial have shown that the infusion of therapeutic fluid can significantly change the impedance distribution in the brain. However, whether this alteration implicates the cerebral blood perfusion remains unclear. To explore the feasibility of monitoring cerebral blood perfusion, the present pilot study established a novel cerebral contrast-enhanced electrical impedance tomography (C-EIT) technique. Materials and methods Rabbits were randomly divided into two groups: the internal carotid artery non-occlusion (ICAN) and internal carotid artery occlusion (ICAO) groups. Both of groups were injected with glucose, an electrical impedance-enhanced contrast agent, through the right internal carotid artery under EIT monitoring. The C-EIT reconstruction images of the rabbits brain were analyzed according to the collected raw data. The paired and independent t-tests were used to analyze the remodeled impedance values of the left and right cerebral hemispheres within and between studied groups, respectively. Moreover, pathological examinations of brain were performed immediately after C-EIT monitoring. Results According to the reconstructed images, the impedance value of the left cerebral hemisphere in the ICAN group did not change significantly, whereas the impedance value of the right cerebral hemisphere gradually increased, reaching a peak at approximately 10 s followed by gradually decreased. In the ICAO group, the impedance values of both cerebral hemispheres increased gradually and then began to decrease after reaching the peak value. According to the paired t-test, there was a significant difference (P < 0.001) in the remodeling impedance values between the left and right hemispheres in the ICAN group, and there was also a significant difference (P < 0.001) in the ICAO group. According to the independent t-test, there was a significant difference (P < 0.001) of the left hemispheres between the ICAN and ICAO groups. Conclusion The cerebral C-EIT proposed in this pilot study can reflect cerebral blood perfusion. This method has potential in various applications in the brain in the future, including disease progression monitoring, collateral circulation judgment, tumor-specific detection, and brain function research.
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Affiliation(s)
- Yuyan Zhang
- College of Life Sciences, Northwest University, Xi’an, China
- Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China
| | - Jian’an Ye
- Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China
| | - Yang Jiao
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi’an, China
| | - Weirui Zhang
- Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China
| | - Tao Zhang
- Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China
| | - Xiang Tian
- Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China
| | - Xuetao Shi
- Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China
| | - Feng Fu
- Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China
| | - Liang Wang
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi’an, China
| | - Canhua Xu
- Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi’an, China
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