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Chang J, Zhang S, Qiu X, Huang H, Zhang Y, Li K. Numerical study on the effect of temperature rise of humeral bone nails in magnetic resonance imaging based on the finite-element method. Technol Health Care 2024; 32:1897-1907. [PMID: 37980581 DOI: 10.3233/thc-230995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
BACKGROUND Humeral fracture is a common long bone fracture in orthopedic clinical diagnosis and treatment. OBJECTIVE To investigate the local temperature increase owing to changes in the specific absorption ratio (SAR) of the human body caused by humeral bone nails during magnetic resonance imaging (MRI). METHODS A refined geometric model of the upper body was constructed via data segmentation and post-processing using the digital human image dataset. Finally, the geometric model was imported into COMSOL, a 3-T magnetic resonance coil was built, and the operating frequency (128 MHz) was set to analyze the SAR of the bone-nail pair and temperature changes. RESULTS The analysis of the changes after bone-nail implantation under different tissue conditions revealed that the SAR and temperature after implantation and fixation were three times higher than those before, and the areas with abrupt changes in SAR and temperature were primarily concentrated in the bone-nail area. CONCLUSION In MRI, metal implants can cause local elevation of the SAR near the implant in the human body, resulting in a temperature increase around the implant. Consequently, long-term scanning can damage the human body.
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Affiliation(s)
- Jihui Chang
- Department of Orthopaedics, People's Hospital of Zhongjiang County, Zhongjiang, Sichuan, China
| | - Shuang Zhang
- Department of Orthopaedics, People's Hospital of Zhongjiang County, Zhongjiang, Sichuan, China
- Neijiang City Engineering Technology Research Center of Neurological Disease Information Interference, Neijiang, Sichuan, China
| | - XuZhong Qiu
- Department of Orthopaedics, People's Hospital of Zhongjiang County, Zhongjiang, Sichuan, China
| | - HaiJun Huang
- Department of Orthopaedics, People's Hospital of Zhongjiang County, Zhongjiang, Sichuan, China
| | - Yun Zhang
- Department of Orthopaedics, People's Hospital of Zhongjiang County, Zhongjiang, Sichuan, China
| | - Kai Li
- Department of Orthopaedics, People's Hospital of Zhongjiang County, Zhongjiang, Sichuan, China
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Zhang S, Qin Y, Wang J, Yu Y, Wu L, Zhang T. Noninvasive Electrical Stimulation Neuromodulation and Digital Brain Technology: A Review. Biomedicines 2023; 11:1513. [PMID: 37371609 PMCID: PMC10295338 DOI: 10.3390/biomedicines11061513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 05/17/2023] [Accepted: 05/22/2023] [Indexed: 06/29/2023] Open
Abstract
We review the research progress on noninvasive neural regulatory systems through system design and theoretical guidance. We provide an overview of the development history of noninvasive neuromodulation technology, focusing on system design. We also discuss typical cases of neuromodulation that use modern noninvasive electrical stimulation and the main limitations associated with this technology. In addition, we propose a closed-loop system design solution of the "time domain", "space domain", and "multi-electrode combination". For theoretical guidance, this paper provides an overview of the "digital brain" development process used for noninvasive electrical-stimulation-targeted modeling and the development of "digital human" programs in various countries. We also summarize the core problems of the existing "digital brain" used for noninvasive electrical-stimulation-targeted modeling according to the existing achievements and propose segmenting the tissue. For this, the tissue parameters of a multimodal image obtained from a fresh cadaver were considered as an index. The digital projection of the multimodal image of the brain of a living individual was implemented, following which the segmented tissues could be reconstructed to obtain a "digital twin brain" model with personalized tissue structure differences. The "closed-loop system" and "personalized digital twin brain" not only enable the noninvasive electrical stimulation of neuromodulation to achieve the visualization of the results and adaptive regulation of the stimulation parameters but also enable the system to have individual differences and more accurate stimulation.
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Affiliation(s)
- Shuang Zhang
- The School of Artificial Intelligence, Neijiang Normal University, Neijiang 641000, China
- The School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China
- The NJNU-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641004, China
- The High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan, Chengdu 610056, China
| | - Yuping Qin
- The School of Artificial Intelligence, Neijiang Normal University, Neijiang 641000, China
- The NJNU-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641004, China
| | - Jiujiang Wang
- The School of Artificial Intelligence, Neijiang Normal University, Neijiang 641000, China
- The NJNU-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641004, China
| | - Yuanyu Yu
- The School of Artificial Intelligence, Neijiang Normal University, Neijiang 641000, China
- The NJNU-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641004, China
| | - Lin Wu
- The School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China
- The High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan, Chengdu 610056, China
| | - Tao Zhang
- The School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China
- The High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan, Chengdu 610056, China
- The Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu 610056, China
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Zhang S, Wang J, Yu Y, Wu L, Zhang T. Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation. Bioengineering (Basel) 2023; 10:374. [PMID: 36978765 PMCID: PMC10045417 DOI: 10.3390/bioengineering10030374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/06/2023] [Accepted: 03/16/2023] [Indexed: 03/22/2023] Open
Abstract
To effectively analyze the diffusion and accumulation of signals on the surface and inside the human body under electrical stimulation, we used the gray threshold of the Chinese Digital Human image dataset to segment an arm image and reconstruct the tissue to obtain its three-dimensional cloud point dataset. Finally, a semirefined digital arm entity model with the geometric characteristics of the actual human arm tissue was constructed using reverse engineering technology. Further input of the current signal stimulation under tDCS and tACS with additional analysis of the signal diffusion in the transient mode via model calculation revealed that DC electrical stimulation is likely to cause high-voltage burns. The effective depth achieved using the AC stimulation signal is considerable, and provides reference for the electrical stimulation selection. Simultaneously, in the digital arm model, the signal diffusion and tissue damage inside the arm can be analyzed by changing the field, which provides a theoretical basis for the experimental study of the human body.
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Affiliation(s)
- Shuang Zhang
- The School of Artificial Intelligence, Neijiang Normal University, Neijiang 641004, China
- The School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China
- The NJNU-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641004, China
- The High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan, Chengdu 610056, China
| | - Jiujiang Wang
- The School of Artificial Intelligence, Neijiang Normal University, Neijiang 641004, China
- The NJNU-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641004, China
| | - Yuanyu Yu
- The School of Artificial Intelligence, Neijiang Normal University, Neijiang 641004, China
- The NJNU-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641004, China
| | - Lin Wu
- The NJNU-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641004, China
| | - Tao Zhang
- The School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China
- The High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan, Chengdu 610056, China
- The Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu 610056, China
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Xu L, Lu Y, Liu Q. Integrating viscoelastic mass spring dampers into position-based dynamics to simulate soft tissue deformation in real time. ROYAL SOCIETY OPEN SCIENCE 2018; 5:171587. [PMID: 29515870 PMCID: PMC5830759 DOI: 10.1098/rsos.171587] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 01/02/2018] [Indexed: 05/13/2023]
Abstract
We propose a novel method to simulate soft tissue deformation for virtual surgery applications. The method considers the mechanical properties of soft tissue, such as its viscoelasticity, nonlinearity and incompressibility; its speed, stability and accuracy also meet the requirements for a surgery simulator. Modifying the traditional equation for mass spring dampers (MSD) introduces nonlinearity and viscoelasticity into the calculation of elastic force. Then, the elastic force is used in the constraint projection step for naturally reducing constraint potential. The node position is enforced by the combined spring force and constraint conservative force through Newton's second law. We conduct a comparison study of conventional MSD and position-based dynamics for our new integrating method. Our approach enables stable, fast and large step simulation by freely controlling visual effects based on nonlinearity, viscoelasticity and incompressibility. We implement a laparoscopic cholecystectomy simulator to demonstrate the practicality of our method, in which liver and gallbladder deformation can be simulated in real time. Our method is an appropriate choice for the development of real-time virtual surgery applications.
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Affiliation(s)
- Lang Xu
- Britton Chance Center for Biomedical Photonics, School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Hubei, Wuhan 430074, People's Republic of China
- Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Ministry of Education, 1037 Luoyu Road, Hubei, Wuhan 430074, People's Republic of China
| | - Yuhua Lu
- Britton Chance Center for Biomedical Photonics, School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Hubei, Wuhan 430074, People's Republic of China
- Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Ministry of Education, 1037 Luoyu Road, Hubei, Wuhan 430074, People's Republic of China
| | - Qian Liu
- Britton Chance Center for Biomedical Photonics, School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Hubei, Wuhan 430074, People's Republic of China
- Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Ministry of Education, 1037 Luoyu Road, Hubei, Wuhan 430074, People's Republic of China
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Lv W, He H, Liu Q. The influence of physique on dose conversion coefficients for idealised external photon exposures: a comparison of doses for Chinese male phantoms with 10th, 50th and 90th percentile anthropometric parameters. JOURNAL OF RADIATION RESEARCH 2017; 58:737-744. [PMID: 28369536 PMCID: PMC5737370 DOI: 10.1093/jrr/rrx007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 01/11/2017] [Indexed: 06/07/2023]
Abstract
For evaluating radiation risk, the construction of anthropomorphic computational phantoms with a variety of physiques can help reduce the uncertainty that is due to anatomical variation. In our previous work, three deformable Chinese reference male phantoms with 10th, 50th and 90th percentile body mass indexes and body circumference physiques (DCRM-10, DCRM-50 and DCRM-90) were constructed to represent underweight, normal weight and overweight Chinese adult males, respectively. In the present study, the phantoms were updated by correcting the fat percentage to improve the precision of radiological dosimetry evaluations. The organ dose conversion coefficients for each phantom were calculated and compared for four idealized external photon exposures from 15 keV to 10 MeV, using the Monte Carlo method. The dosimetric results for the three deformable Chinese reference male phantom (DCRM) phantoms indicated that variations in physique can cause as much as a 20% difference in the organ dose conversion coefficients. When the photon energy was <50 keV, the discrepancy was greater. The irradiation geometry and organ position can also affect the difference in radiological dosimetry between individuals with different physiques. Hence, it is difficult to predict the conversion coefficients of the phantoms from the anthropometric parameters alone. Nevertheless, the complex organ conversion coefficients presented in this report will be helpful for evaluating the radiation risk for large groups of people with various physiques.
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Affiliation(s)
- Wei Lv
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
- MoE Key Laboratory for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - Hengda He
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
| | - Qian Liu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
- MoE Key Laboratory for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
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Makarov SN, Noetscher GM, Yanamadala J, Piazza MW, Louie S, Prokop A, Nazarian A, Nummenmaa A. Virtual Human Models for Electromagnetic Studies and Their Applications. IEEE Rev Biomed Eng 2017; 10:95-121. [PMID: 28682265 PMCID: PMC10502908 DOI: 10.1109/rbme.2017.2722420] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
Numerical simulation of electromagnetic, thermal, and mechanical responses of the human body to different stimuli in magnetic resonance imaging safety, antenna research, electromagnetic tomography, and electromagnetic stimulation is currently limited by the availability of anatomically adequate and numerically efficient cross-platform computational models or "virtual humans." The objective of this study is to provide a comprehensive review of modern human models and body region models available in the field and their important features.
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Affiliation(s)
- Sergey N. Makarov
- ECE Dept., Worcester Polytechnic Institute, Worcester, MA 01609; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 ()
| | - Gregory M. Noetscher
- ECE Dept., Worcester Polytechnic Institute, Worcester, MA 01609; Neva Electromagnetics, LLC., Yarmouth Port, MA 02675 ()
| | | | | | | | | | - Ara Nazarian
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02675 ()
| | - Aapo Nummenmaa
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 ()
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