Localization and Recognition of Different Vertebra Tissues Based on Eddy Current Detection Method

2013 ◽  
Vol 740 ◽  
pp. 128-133 ◽  
Author(s):  
Wei Wen Liu ◽  
Kai Jiang ◽  
Hui Zhao ◽  
Cheng Long Wang

The spine, which is throughout the trunk, is of great importance to the skeleton structure of human beings. For spine is vulnerable, the rate of spine incident trauma injury is relatively high. In the contemporary technology, the internal fixation prosthetics with implanting pedicle screws is the most efficient way in clinical treatment. However spine internal fixation surgery has many disadvantages like complex in the operation, the high penetration rate and inability to be used in the field battle. As a result, according to the magnetic property difference of different vertebra tissues, an eddy current detection method which is used in localization and recognition of different vertebra tissues to realize the navigation of spine internal fixation surgery is proposed in this paper. A set of improved series-reverse-three coils eddy current sensor is used to test the NaCl solution which electrical conductivity matches that of biological tissue. And the result of several experiments indicates this method can detect the biological tissue with the electrical conductivity no less than 0.5 S/m, which lays a solid foundation to further study of recognition different vertebra tissues.

2015 ◽  
Vol 742 ◽  
pp. 99-104
Author(s):  
Kai Jiang ◽  
Hua Ming Lei ◽  
Hui Zhao

The low conductivity material such as cancellous bone, cortical bone tissue and soft tissue is the mainly content in the spine. And the improvements on distinguishing the low conductivity material can make a contribution to the spinal fixation surgery process, and protect the patient from spine incident trauma injury during internal fixation prosthetics with implanting pedicle screws. As a result the low conductivity material detection is of great importance in biomedicine study. According to the magnetic property difference of different low conductivity material, an eddy current detection method based on GMR sensor which is proposed in this paper. Compared with coil sensor in traditional non-contact detecting system, GMR sensors have advantages of higher sensitivity, higher precision, better linearity and better stability. Based on this methods, this paper introduces a low conductivity material detection probe. Several experiments indicate that this detection method can detect the low conductivity material NaCl solution with conductivity of 0.128 S/m, whose electrical conductivity matches that of biological tissue. This results lay a solid foundation on the biological tissue detection research.


2021 ◽  
Vol 2087 (1) ◽  
pp. 012020
Author(s):  
Yang Han ◽  
Yu-Chun Tao ◽  
Hai Yan ◽  
Zhi-Zhen Peng ◽  
Peng-Fei Liang ◽  
...  

Abstract The condensate pipelines, main water supply pipelines, drain pipelines, and partial extraction pipelines of nuclear power plants are all coated with coatings on the outside of the pipelines to improve heat exchange efficiency. At present, the detection methods of ferromagnetic pipelines are mainly conventional ultrasound and ultrasonic guided waves. It is necessary to remove the insulation layer of the outer wall of the pipeline before the inspection, which leads to a prolonged inspection period and increased labor costs. This paper uses the measured and calculated values of the induced voltage to establish the optimal parameter inversion problem and combines the coupling relationship between the parameters to propose a reliable pulsed eddy current detection method for the relative wall thickness of ferromagnetic pipes. Using the pulsed eddy current detection method for the relative wall thickness of ferromagnetic pipelines proposed in this paper, the scanning detection of nuclear power plant steel pipes is compared with conventional ultrasonic testing. The detection results are reliable and suitable for non-destructive testing and evaluation of nuclear power plant ferromagnetic pipeline wall thickness corrosion thinning.


2007 ◽  
Vol 1 (6) ◽  
pp. 312-316 ◽  
Author(s):  
G. Yang ◽  
Y. Li ◽  
P.W. Que ◽  
G.Y. Tian

2021 ◽  
pp. 219256822110391
Author(s):  
Yakubu Ibrahim ◽  
Hao Li ◽  
Geng Zhao ◽  
Suomao Yuan ◽  
Yiwei Zhao ◽  
...  

Study Design: Retrospective. Objectives: To present rarely reported complex fractures of the upper cervical spine (C1-C2) and discuss the clinical results of the posterior temporary C1-2 pedicle screws fixation for C1-C2 stabilization. Methods: A total of 19 patients were included in the study (18 males and 1 female). Their age ranged from 23 to 66 years (mean age of 39.6 years). The patients were diagnosed with complex fractures of the atlas and the axis of the upper cervical spine and underwent posterior temporary C1-2 pedicle screws fixation. The patients underwent a serial postoperative clinical examination at approximately 3, 6, 9 months, and annually thereafter. The neck disability index (NDI) and the range of neck rotary motion were used to evaluate the postoperative clinical efficacy of the patients. Results: The average operation time and blood loss were 110 ± 25 min and 50 ± 12 ml, respectively. The mean follow-up was 38 ± 11 months (range 22 to 60 months). The neck rotary motion before removal, immediately after removal, and the last follow-up were 68.7 ± 7.1°, 115.1 ± 11.7°, and 149.3 ± 8.9° ( P < 0.01). The NDI scores before and after the operation were 42.7 ± 4.3, 11.1 ± 4.0 ( P < 0.01), and the NDI score 2 days after the internal fixation was removed was 7.3 ± 2.9, which was better than immediately after the operation ( P < 0.01), and 2 years after the internal fixation was removed. The NDI score was 2.0 ± 0.8, which was significantly better than 2 days after the internal fixation was taken out ( P < 0.001). Conclusions: Posterior temporary screw fixation is a good alternative surgical treatment for unstable C1-C2 complex fractures.


Author(s):  
R. Palanisamy ◽  
D. O. Thompson ◽  
G. L. Burkhardt ◽  
R. E. Beissner

2021 ◽  
Vol 33 (4) ◽  
pp. 042004
Author(s):  
Tjorben Griemsmann ◽  
Christian Hoff ◽  
Jörg Hermsdorf ◽  
Stefan Kaierle ◽  
Ludger Overmeyer

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