Thermal Simulation and Detection of Breast Tumor Using Passive Acoustic Thermometry
Abstract
Purpose: For over three decades, various researchers have aimed to construct a model of breast cancer. Most of them have used an infrared thermal model to stimulate breast cancer, but in this study, a novel estimation methodology is presented to detect the breast cancer tumor using the surface measurement obtained by Passive Acoustic Thermometer (PAT). PAT is a safe method for internal temperature estimation that works based on acoustic radiation of materials with a specific temperature.
Materials and Methods: This article uses a simulation framework for breast tissue simulation and tumor detection using the PAT methodologies in different scenarios. This framework supports the generation of acoustic radiation, tissue modelling, signal processing, parameter estimation, and temperature reconstruction processes. The proposed framework estimates the temperature in the frequency domain and uses the frequency spectrum of the acquired ultrasound signals captured by a single transducer. Using the proposed framework, PAT has been evaluated in breast cancer detection.
Results: According to the results, obtained from the temperature estimation in scenario 3, the sub-band estimation method, which is utilized in practical experiments in this field, shows different errors in each sub-band, making it difficult to select the true estimation. Therefore, a novel formulation is proposed that provides only one estimated temperature for breast tissue with a reasonable error (1.28 degrees) for tumor detection.
Conclusion: The results show that it is possible to use this framework to evaluate the PAT in different scenarios for tumor detection. In fact, this method enhances the possibility of examination of different conditions and algorithms. It also reduces the cost of practical experiments.
2- Arjun Chanmugam, Rajeev Hatwar, and Cila Herman, "Thermal analysis of cancerous breast model.", in ASME International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineers, Vol. 45189, pp. 135-43, (2012).
3- Manu Mital and Ramana M Pidaparti, "Breast tumor simulation and parameters estimation using evolutionary algorithms.", Modelling and simulation in engineering, Vol. 2008, (2008).
4- Andrey A Anosov, Alexandr S Kazansky, Pavel V Subochev, Anatoly D Mansfel'd, and Vladimir V Klinshov, "Passive estimation of internal temperatures making use of broadband ultrasound radiated by the body.", The Journal of the Acoustical Society of America, Vol. 137, No. 4, pp. 1667-74, (2015).
5- AA Anosov, Yu N Barabanenkov, AS Kazanskiĭ, Yu A Less, and AS Sharakshane, "The inverse problem of acoustothermography with correlation reception of thermal acoustic radiation.", Acoustical Physics, Vol. 55, No. 1, pp. 114-19, (2009).
6- AA Anosov, Yu N Barabanenkov, and AG Sel’skii, "Correlation reception of thermal acoustic radiation.", Acoustical Physics, Vol. 49, No. 6, pp. 615-19, (2003).
7- AA Anosov et al., "Acousto-thermometric recovery of the deep temperature profile using heat conduction equations.", Acoustical Physics, Vol. 58, No. 5, pp. 542-48, (2012).
8- AA Anosov, RV Belyaev, VA Vilkov, AS Kazanskiĭ, AD Mansfel’d, and AS Sharakshané, "Determination of the dynamics of temperature variation in a model object by acoustic thermography." Acoustical Physics, Vol. 54, No. 4, pp. 464-68, (2008).
9- AA Anosov, RV Belyaev, VA Vilkov, AS Kazanskii, AD Mansfel’d, and AS Sharakshane, "Dynamic acoustothermography." Acoustical Physics, Vol. 55, No. 4, pp. 454-62, (2009).
10- AA Anosov, PV Subochev, AD Mansfeld, and AA Sharakshane, "TEMPERATURE RECONSTRUCTION BY THE METHOD OF PASSIVE ACOUSTIC THERMOMETRY." Ultrasonics, Vol. 21(2017).
11- Lucian Covaciu, Sten Rubertsson, Francisco Ortiz‐Nieto, Håkan Ahlström, and Jan Weis, "Human brain MR spectroscopy thermometry using metabolite aqueous‐solution calibrations." Journal of Magnetic Resonance Imaging: An Official Journal of the International Society for Magnetic Resonance in Medicine, Vol. 31, No. 4, pp. 807-14, (2010).
12- Bradley E Treeby and Benjamin T Cox, "k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields.", Journal of biomedical optics, Vol. 15, No. 2, p. 021314, (2010).
13- Hossein Amiri, Ali Khani, Yousef Moghimi Boldaji, and Bahador Makkiabadi, "A Simulation Framework for Passive Acoustic Thermometry of Nonhomogeneous Materials.", Frontiers in Biomedical Technologies, Vol. 7, No. 2, pp. 118-24, (2020).
14- Hossein Amiri, Bahador Makkiabadi, Ali Khani, and Soheil Ahmadzade Irandoost, "A simulation framework for passive acoustic thermometry of homogenous materials.", Frontiers in Biomedical Technologies, Vol. 6, No. 3, pp. 133-38, (2019).
15- Elena Merčep, Joaquín L Herraiz, Xosé Luís Deán-Ben, and Daniel Razansky, "Transmission–reflection optoacoustic ultrasound (TROPUS) computed tomography of small animals.", Light: Science & Applications, Vol. 8, No. 1, pp. 1-12, (2019).
16- PA Hasgall et al., "IT’IS Database for thermal and electromagnetic parameters of biological tissues.", Version 3.0, (2015).
17- AA Anosov, PV Subochev, AD Mansfeld, and AA Sharakshane, "Physical and computer-based modeling in internal temperature reconstruction by the method of passive acoustic thermometry.", Ultrasonics, Vol. 82pp. 336-44, (2018).
18- RN Lawson and JP Gaston, "Temperature measurements of localized pathological processes.", Annals of the New York Academy of Sciences, Vol. 121 No. 1, pp. 90-98, (1964).
Files | ||
Issue | Vol 9 No 2 (2022) | |
Section | Original Article(s) | |
DOI | https://doi.org/10.18502/fbt.v9i2.8847 | |
Keywords | ||
Internal Temperature Passive Acoustic Thermometer Breast Tumor Simulation |
Rights and permissions | |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |