Contact angle and indentation velocity dependency for a resonance sensor—Evaluation on soft tissue silicone models

Åstrand, Anders P.; Jalkanen, Ville; Andersson, Britt M.; Lindahl, Olof

doi:10.3109/03091902.2013.773097

Cited by 6 publications

(15 citation statements)

References 15 publications

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“…The piezoelectric element was cylinder shaped and made of lead zirconate titanate, PZT (Type 7A, Morgan electro mechanics, Bedford, Ohio, USA) as described previously [17]. The cylinder was 15 mm long with the outer diameter of 5 mm and inner diameter of 3 mm.…”

Section: The Resonance Sensormentioning

confidence: 99%

“…The cylinder was 15 mm long with the outer diameter of 5 mm and inner diameter of 3 mm. To measure the applied force, F, a preloaded force sensor was used [17]. The piezoelectric element and the force sensor were mounted inside an aluminium casing, which formed the sensor head as shown in Figure 1.…”

Section: The Resonance Sensormentioning

confidence: 99%

“…The unloaded resonance frequency was f 0 = 113.8 kHz. The signals from the force sensor and the piezoelectric sensor were collected to a computer by using a data acquisition card [17]. A sampling rate of 1 kHz was used.…”

Section: The Resonance Sensormentioning

confidence: 99%

“…The tactile resonance sensor system used in this study was presented recently [17] [18], where measurements were performed on soft tissue phantoms made of silicone. The measured parameters are the change in resonance frequency of the piezoelectric element, Δf, and the applied force, F, when the sensor comes into contact with the tissue.…”

Section: Introductionmentioning

confidence: 99%

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Detection of Stiff Nodules Embedded in Soft Tissue Phantoms, Mimicking Cancer Tumours, Using a Tactile Resonance Sensor

Åstrand¹,

Jalkanen²,

Andersson³

et al. 2014

JBiSE

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Background: Prostate cancer (PCa) is the most common form of cancer among males in Europe and in the USA and the most common curative treatment is removal of the prostate, i.e. prostatectomy. After the removal, the prostate is histopathologically analysed. One area of interest is to examine the perifery of the prostate, as tumours on and near the surface can indicate that the PCa has spread to other parts of the body. There are no current methods to examine the surface of the prostate at the time of surgery. Tactile resonance sensors can be used for detecting areas of different stiffness in soft tissue. Human prostate tissue affected by cancer is usually stiffer than healthy tissue, and for this purpose, a tactile resonance sensor was developed. The aim of this study was to investigate the depth at which embedded stiffer volumes could be detected, using soft tissue phantoms. Methods: With the tactile resonance sensor used in this study, the shift of the resonance frequency and the force at contact with tissue can be measured, and combined into a tissue stiffness parameter. The detection sensitivity of the sensor at impression depths, 0.4 and 0.8 mm, was measured for detection of inserted nodules of stiff silicone in softer silicone and in chicken muscle tissue, mimicking prostate tissue with cancer tumours. Results: Measurements on the silicone samples detected the hidden stiffer object at a depth of 1-4 mm with a difference in the stiffness parameter of 80-900 mN/kHz (p < 0.028, n = 48). At the depth 5-6 mm the difference was smaller but still significant < 30 mN/kHz (p < 0.05, n = 24). For the measurements on chicken muscle, the detectable depth was 4 mm (p < 0.05, n = 24). Conclusion: This model study suggests that, with only a small impression depth of ≤1 mm, the resonance sensor system described here can detect stiffness variations located at least 4 mm in silicone and chicken muscle, mimicking tumours in prostate tissue. A. P. Åstrand et al.

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Section: The Resonance Sensormentioning

confidence: 99%

Section: The Resonance Sensormentioning

confidence: 99%

Section: The Resonance Sensormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detection of Stiff Nodules Embedded in Soft Tissue Phantoms, Mimicking Cancer Tumours, Using a Tactile Resonance Sensor

Åstrand¹,

Jalkanen²,

Andersson³

et al. 2014

JBiSE

Self Cite

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“…specially designed for elastography imaging, gelatin-based phantoms with formaldehyde hardeners were investigated [7]. For evaluating the performance of a tactile piezoelectric sensor, a silicone rubber, has been used for phantoms [8]- [10]. This elastomer has also been used to model the elastic properties of the human skin [11]- [13].…”

Section: Introductionmentioning

confidence: 99%

Modeling the high-frequency complex modulus of silicone rubber using standing lamb waves and an inverse finite element method

Jonsson

Lindahl

Andersson

2014

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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To gain an understanding of the high-frequency elastic properties of silicone rubber, a finite element model of a cylindrical piezoelectric element, in contact with a silicone rubber disk, was constructed. The frequency-dependent elastic modulus of the silicone rubber was modeled by a fourparameter fractional derivative viscoelastic model in the 100 to 250 kHz frequency range. The calculations were carried out in the range of the first radial resonance frequency of the sensor. At the resonance, the hyperelastic effect of the silicone rubber was modeled by a hyperelastic compensating function. The calculated response was matched to the measured response by using the transitional peaks in the impedance spectrum that originates from the switching of standing Lamb wave modes in the silicone rubber. To validate the results, the impedance responses of three 5-mm-thick silicone rubber disks, with different radial lengths, were measured. The calculated and measured transitional frequencies have been compared in detail. The comparison showed very good agreement, with average relative differences of 0.7%, 0.6%, and 0.7% for the silicone rubber samples with radial lengths of 38.0, 21.4, and 11.0 mm, respectively. The average complex elastic moduli of the samples were (0.97 + 0.009i) GPa at 100 kHz and (0.97 + 0.005i) GPa at 250 kHz.

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Initial Measurements on Whole Human Prostate ex vivo with a Tactile Resonance Sensor in Order to Detect Prostate Cancer

et al. 2015

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Contact angle and indentation velocity dependency for a resonance sensor—Evaluation on soft tissue silicone models

Cited by 6 publications

References 15 publications

Detection of Stiff Nodules Embedded in Soft Tissue Phantoms, Mimicking Cancer Tumours, Using a Tactile Resonance Sensor

Detection of Stiff Nodules Embedded in Soft Tissue Phantoms, Mimicking Cancer Tumours, Using a Tactile Resonance Sensor

Modeling the high-frequency complex modulus of silicone rubber using standing lamb waves and an inverse finite element method

Initial Measurements on Whole Human Prostate ex vivo with a Tactile Resonance Sensor in Order to Detect Prostate Cancer

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