Bone Electrical Impedance and Tomographic Reconstruction of Fracture Detection: A Review

Dell'Osa, A

doi:10.1007/978-981-287-928-8_4

Cited by 5 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the case of fracture dressing for patients, a sensor like the one described here could be easily printed on to it. Such a simple sensor is supposed to be sensitive to impedance changes that occur during the bone fracture healing stages and it could give real-time imaging info about healing [48][49][50]. A contrast in the electrical impedance of bone, muscle and fat tissue has been shown experimentally, and these spectral differences which EIT attempts to exploit and reproduces the forearm crosssection (bone 17583Ωcm, muscle 211Ωcm and fat 3850Ωcm [51]).…”

Section: Fig6 Human Arm Cross-section Schematic Picture Of the Positi...mentioning

confidence: 99%

Fully printed, stretchable and wearable bioimpedance sensor on textiles for tomography

Jose

Lemmens

Bormans

et al. 2021

Flex. Print. Electron.

View full text Add to dashboard Cite

Electrical impedance tomography (EIT) is a non-invasive, real-time, continuous imaging technique that has multiple applications in health care. EIT is a realizable technique for radiation-free medical imaging ranging from real-time monitoring of bone fracture repair to lung functioning. This work explores the prospect of printing a wearable bioimpedance sensor on textiles for EIT imaging. Screen printing and stencil printing were applied to fabricate the sensor on the textile substrate and the imaging was carried out with the worn sensor on the human body. The first part of this work focuses on developing a flexible textile sensor in the form of a bracelet to obtain cross-sectional images of the forearm that unravel bone features like shape, size and position. However, body parts such as the thorax have added complexities due to their constantly varying perimeter and uneven shape. It is a significant prerequisite for the wearable sensors to apply to dynamic body parts where irregular shape and continuous volume variations occur. The second part of the paper therefore addresses the fabrication and testing of a stretchable textile-based sensor to address such instances of body dynamicity. The proposed stretchable sensor, worn on the thorax, demonstrates the feasibility of imaging such an uneven and dynamic body part. Although the EIT images are inherently attributed to low resolution, this work shows the prospect of wearable imaging applications in health monitoring. Apart from demonstrating the printed sensor for EIT imaging, this paper shows the image rendering quality dependency over the frequency of the signal and the number of electrodes. This work could initiate further research on wearable EIT based health monitoring devices for real-life scenarios.

show abstract

Section: Fig6 Human Arm Cross-section Schematic Picture Of the Positi...mentioning

confidence: 99%

Fully printed, stretchable and wearable bioimpedance sensor on textiles for tomography

Jose

Lemmens

Bormans

et al. 2021

Flex. Print. Electron.

View full text Add to dashboard Cite

show abstract

“…Some methods such as plain films indicate these fractures but they do it late in the process. The bone-scintigraphy technique is used to confirm an established non-union but their reports are based on the prognostic values and they are contradictory [98]. EIT indicates the electrical properties of the fractured and the normal limbs.…”

Section: Osteographymentioning

confidence: 99%

Review on Electrical Impedance Tomography: Artificial Intelligence Methods and its Applications

2019

View full text Add to dashboard Cite

Electrical impedance tomography (EIT) has been a hot topic among researchers for the last 30 years. It is a new imaging method and has evolved over the last few decades. By injecting a small amount of current, the electrical properties of tissues are determined and measurements of the resulting voltages are taken. By using a reconstructing algorithm these voltages then transformed into a tomographic image. EIT contains no identified threats and as compared to magnetic resonance imaging (MRI) and computed tomography (CT) scans (imaging techniques), it is cheaper in cost as well. In this paper, a comprehensive review of efforts and advancements undertaken and achieved in recent work to improve this technology and the role of artificial intelligence to solve this non-linear, ill-posed problem are presented. In addition, a review of EIT clinical based applications has also been presented.

show abstract

“…The causes of the low spatial resolution of EIT are the limited amount of voltage difference measurement data on the object boundary surface, low sensitivity, and high measurement noise [4]. The limited amount of measurement data obtained causes the spatial resolution of the EIT to be limited in the range of 5 percent to 10 percent of the object's diameter [5]. Furthermore, the injection current diffuses in all directions on an object causes low measurement sensitivity, especially the measurement of the potential difference at the electrode far from the current injection electrode.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Object Injection Current in the Development of Electrical Impedance Tomography for Bone Fracture Detection

Kamus

Nofrianto²,

Satwika³

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Electrical Impedance Tomography (EIT) nearly has all the parameters of the ideal of a modality tomography. There is one parameter that makes the EIT modality not yet ideal. It is the low spatial resolution of the image. Unfortunately, it is limited in the range of 5 percent to 10 percent of the object diameter. The causal factor is the limited number of measurement data obtained. The focus of research on EIT at now is the development of functional applications. The novel application developed in this research is to detect bone fractures, mainly due to sports injuries. The hardware characteristics are certainly different from other applications. Optimization of the injection current to match the most resistive characteristics of bone compared to all human body tissues has been carried out. The image of bone is reconstructed using the adjacent method of data collection and the Newton-Raphson iterative algorithm with Tikhonov regularization. The optimization results are seen from the high quality and contrast of the reconstructed image for various injection current values. The current injection frequency is selected at 10 kHz. In the results of this research, the injection current that can produce the highest quality and contrast is 0.3 mA.

show abstract

Bone Electrical Impedance and Tomographic Reconstruction of Fracture Detection: A Review

Cited by 5 publications

References 2 publications

Fully printed, stretchable and wearable bioimpedance sensor on textiles for tomography

Fully printed, stretchable and wearable bioimpedance sensor on textiles for tomography

Review on Electrical Impedance Tomography: Artificial Intelligence Methods and its Applications

Optimization of Object Injection Current in the Development of Electrical Impedance Tomography for Bone Fracture Detection

Contact Info

Product

Resources

About