Measurement of micro-harmonic vibration frequency from the modulated self-mixed interferometric signal using dynamic time warping method

Bhardwaj, Vibhor Kumar; Maini, Surita

doi:10.1016/j.ymssp.2021.108712

Cited by 6 publications

(1 citation statement)

References 37 publications

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“…The signals are analyzed and compared using Pearson correlation, dynamic time warping (DTW), and time-frequency representation. Phantom 1, for instance, has a normalized DTW distance of 0.13 and a Pearson correlation coefficient of 0.99, which indicates that the two signals are reasonably well-matched Girault, Kouame, Ouahabi and Patat (2000); Niethammer, Jacobs, Qu and Jarzynski (2001); Kumar, Legendre, Zhao and Chao (2022); Bhardwaj and Maini (2022). According to an examination of the PIP data, gelatin percentage and 𝜂1 in the first layer have a positive relationship, as increasing gelatin percentage causes an increase in 𝜂1 value Nguyen et al (2014); Ismail et al (2017).…”

Section: Discussionmentioning

confidence: 99%

Using Torsional Wave Elastography to Evaluate Spring Pot Parameters In Skin Tumor Mimicking Phantoms

Almashakbeh,

Shamimi,

Callejas

et al. 2023

Preprint

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Estimating the tissue parameters of skin tumors is crucial for diagnosis and effective therapy in dermatology and related fields. However, identifying the most sensitive biomarkers require an optimal rheological model for simulating skin behavior this remains an ongoing research endeavor. Additionally, the multi-layered structure of the skin introduces further complexity to this task. In order to surmount these challenges, an inverse problem methodology, in conjunction with signal analysis techniques, is being employed. In this study, a fractional rheological model is presented to enhance the precision of skin tissue parameter estimation from the acquired signal from torsional wave elastography technique (TWE) on skin tumor-mimicking phantoms for lab validation and the estimation of the thickness of the cancerous layer. An exhaustive analysis of the spring-pot model (SP) solved by the finite difference time domain (FDTD) is conducted. The results of experiments performed using a TWE probe designed and prototyped in the laboratory were validated against ultrafast imaging carried out by the Verasonics Research System. Twelve tissue-mimicking phantoms, which precisely simulated the characteristics of skin tissue, were prepared for our experimental setting. The experimental data from these bi-layer phantoms were measured using a TWE probe, and the parameters of the skin tissue were estimated using inverse problem-solving. The agreement between the two datasets was evaluated by comparing the experimental data obtained from the TWE technique with simulated data from the spring-pot FDTD model using Pearson correlation, dynamic time warping (DTW), and time-frequency representation. Our findings show that the spring-pot FDTD model and TWE are capable of determining the mechanical properties of both layers in a bilayer phantom, using a single signal and an inverse problem approach. The ultrafast imaging and the validation of TWE results further demonstrate the robustness and reliability of our technology for a realistic range of phantoms. This fusion of the spring-pot FDTD model and TWE, as well as inverse problem-solving methods has the potential to have a considerable impact on diagnoses and treatments in dermatology and related fields.

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