Integration of a Hollow, Bipolar Needle Electrode into a Handheld Impedance Measurement Device for Tissue Identification

Liu, J.; Goehring, Chris; Pott, Peter P.

doi:10.1109/bmeicon53485.2021.9745245

Cited by 3 publications

(8 citation statements)

References 19 publications

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“…The main applications of the existing literature in bioimpedance research include tumor detection with biopsy needles, 14 tissue discrimination at multiple locations with biopsy needles and chemical sensors, [18][19][20][21] and tissue discrimination with cannulas. 22,23 Throughout all of these applications and even apart from medical needles, for example, electrical impedance tomography (EIT) or electromyography (EMG), the research is concerned with electrode geometry optimization so that the spatial resolution (i.e., the spatial sensitivity distribution, henceforth called "sensitivity") becomes the desired shape, which in turn affects the measured impedance. The more condensed the sensitivity between electrodes, the more precise the information about the measured tissue type, since human tissue is usually very inhomogeneous and anisotropic over large scales.…”

Section: Bioimpedance Simulations In Needle Applicationsmentioning

confidence: 99%

“…Various designs of hollow needles for blood sampling exist in which there is an active electrode in the cannula of the needle, resulting in a coaxial layout. [30][31][32][33][34][35][36] Liu et al 23 simulated an insertion procedure through heterogeneous tissue with three tissue types and two coaxial cannulas acting as a bipolar electrode pair. Similarly to Høyum et al, 27 the voltage distribution was used to represent the sensitivity.…”

Section: Bioimpedance Simulations In Needle Applicationsmentioning

confidence: 99%

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Spatial sensitivity distribution assessment and Monte Carlo simulations for needle‐based bioimpedance imaging during venipuncture using the finite element method

Atmaca,

Liu,

et al. 2024

Numer Methods Biomed Eng

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Despite being among the most common medical procedures, needle insertions suffer from a high error rate. Impedance measurements using electrode‐equipped needles offer promise for improved tissue targeting and reduced errors. Impedance visualization usually requires an extensive pre‐measured impedance dataset for tissue differentiation and knowledge of the electric fields contributing to the resulting impedances. This work presents two finite element simulation approaches for both problems. The first approach describes the generation of a multitude of impedances with Monte Carlo simulations for both, homogeneous and inhomogeneous tissue to circumvent the need to rely on previously measured data. These datasets could be used for tissue discrimination. The second method describes the simulation of the spatial sensitivity distribution of an electrode layout. Two singularity analysis methods were employed to determine the bulk of the sensitivity within a finite volume, which in turn enables consistent 3D visualization. The modeled electrode layout consists of 12 electrodes radially placed around a hypodermic needle. Electrical excitation was simulated using two neighboring electrodes for current carriage and voltage pickup, which resulted in 12 distinct bipolar excitation states. Both, the impedance simulations and the respective singularity analysis methods were compared with each other. The results show that the statistical spread of impedances is highly dependent on the tissue type and its inhomogeneities. The bounded bulk of sensitivities of both methods are of similar extent and symmetry. Future models should incorporate more detailed tissue properties such as anisotropy or changing material properties due to tissue deformation to gain more accurate predictions.

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Section: Bioimpedance Simulations In Needle Applicationsmentioning

confidence: 99%

Section: Bioimpedance Simulations In Needle Applicationsmentioning

confidence: 99%

Spatial sensitivity distribution assessment and Monte Carlo simulations for needle‐based bioimpedance imaging during venipuncture using the finite element method

Atmaca,

Liu,

et al. 2024

Numer Methods Biomed Eng

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“…The electrical properties are adjusted by adding sodium chloride and propylene glycol. The ingredients for phantom fabrication can be seen in Table 1 [22,34].…”

Section: Experimental Designmentioning

confidence: 99%

“…Various simulative investigations were conducted showing different needle geometries that minimize the sensitivity field [11,12,19,20]. Bipolar setups exist, which use at least one needle body as active electrode or even two nested needles [12,[20][21][22][23]. In other works, two active electrodes were installed at the needle tip [24][25][26][27][28], or a concentric needle electrode designed for Electromyography (EMG) was used [29].…”

Section: Introductionmentioning

confidence: 99%

Needle-Based Electrical Impedance Imaging Technology for Needle Navigation

Liu,

Atmaca,

Pott

2023

Bioengineering

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Needle insertion is a common procedure in modern healthcare practices, such as blood sampling, tissue biopsy, and cancer treatment. Various guidance systems have been developed to reduce the risk of incorrect needle positioning. While ultrasound imaging is considered the gold standard, it has limitations such as a lack of spatial resolution and subjective interpretation of 2D images. As an alternative to conventional imaging techniques, we have developed a needle-based electrical impedance imaging system. The system involves the classification of different tissue types using impedance measurements taken with a modified needle and the visualization in a MATLAB Graphical User Interface (GUI) based on the spatial sensitivity distribution of the needle. The needle was equipped with 12 stainless steel wire electrodes, and the sensitive volumes were determined using Finite Element Method (FEM) simulation. A k-Nearest Neighbors (k-NN) algorithm was used to classify different types of tissue phantoms with an average success rate of 70.56% for individual tissue phantoms. The results showed that the classification of the fat tissue phantom was the most successful (60 out of 60 attempts correct), while the success rate decreased for layered tissue structures. The measurement can be controlled in the GUI, and the identified tissues around the needle are displayed in 3D. The average latency between measurement and visualization was 112.1 ms. This work demonstrates the feasibility of using needle-based electrical impedance imaging as an alternative to conventional imaging techniques. Further improvements to the hardware and the algorithm as well as usability testing are required to evaluate the effectiveness of the needle navigation system.

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“…The bioimpedance can be measured by electrode con guration [11] and using a ne needle as the detector can minimize the damage to viscera and vascular tissues during treatment. As a result, needle-based bioimpedance measuring devices and their application have been well researched in the past decades [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Electronic sensing and ablation needles for medical diagnosis and treatment

Limpabandhu

Tse

2023

Preprint

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Electronic biopsy sensing needle caught researchers’ interest as they cause minimal damage to patient’s viscera and vascular tissues and utilize AC voltage to measure the bioimpedance changes in pathological tissue. Researchers have studied the application of bioimpedance sensing in needle-based devices to diagnose cancer, extravasation, and neuromuscular disease. Electrical Impedance Spectroscopy and Electrochemical Impedance Spectroscopy (EIS) have been selected technique to analyse the electrical properties of bio-tissues. Biopsy sensing needles are classified into conventional needles and novel needles, differing in their structure and technique application. Conventional needles consisted of an inner element (a metal wire) and an outer element (a metal cannula), which are electrically isolated. The majority of novel needles are comprised of new sensors/electrodes on the surface of the needle shaft, with the needles being fabricated using new materials and methods. Novel techniques such as RF wirelessly powering, ultrasonic wirelessly powering, and electrolytic non-thermal ablation were researched in RF ablation. This review paper focuses on presenting the applications of electronic needles in medical diagnosis and treatment. The experiment results of pathological detection by conventional sensing needles are presented. Then, the structure, material, fabrication methods, and test results of novel sensing needles are introduced. Furthermore, novel tissue discrimination methods and novel RF ablation needles are introduced. Finally challenges and future work are discussed.

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Integration of a Hollow, Bipolar Needle Electrode into a Handheld Impedance Measurement Device for Tissue Identification

Cited by 3 publications

References 19 publications

Spatial sensitivity distribution assessment and Monte Carlo simulations for needle‐based bioimpedance imaging during venipuncture using the finite element method

Spatial sensitivity distribution assessment and Monte Carlo simulations for needle‐based bioimpedance imaging during venipuncture using the finite element method

Needle-Based Electrical Impedance Imaging Technology for Needle Navigation

Electronic sensing and ablation needles for medical diagnosis and treatment

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