A Blood Perfusion Model Of A RMS Tumor In A Local Hyperthermia Multi-Physic Scenario: A Preliminary Study
Giacomo Muntoni, Alessandro Fanti, Giorgio Montisci, Marta Muntoni.
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The main goal of this therapy, primarily used as adjuvant therapy along with radio and chemotherapy, is to reach a suitable temperature inside the neoplastic mass – about 7-8 degrees above the normal body temperature – able to kill the cancerous cells without compromising the healthy tissues. Many factors contribute to this goal, such as the radiation characteristics of the antenna, the thermal profiles of the healthy and cancerous tissues and the dynamic of the water flux inside the bolus. Moreover, despite being often overlooked, an important role is played by the perfusion characteristics of the tumor. In this work, we present a multi-physic analysis in a local hyperthermia scenario, considering a simple patch antenna resonating at 434 MHz as a heat source, a water bolus, a bi-layered body phantom and, most importantly, a tumor placed inside the phantom described employing a realistic space-dependent blood perfusion model. The results of this study show the effectiveness of the hyperthermia treatment using the physiopathology-driven perfusion model, and they may be useful in a real local hyperthermia case.
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- The electromagnetic behaviour of a radiator has been coupled with two other physical phenomena, and with a space-dependent blood perfusion model of a tumor, to better understand the role of each process and how they relate together to accomplish an hyperthermia tumour therapy.
- The proposed multi-physic analysis based on the blood perfusion model is an efficient solution to have a deep insight on the hyperthermia treatment.
- This work can be a powerful supporting tool in oncology applications where the hyperthermic treatment is often used as adjuvant therapy alongside with radiotherapy and chemotherapy.
- To the best of the authors’ knowledge, this is the first time that a complete analysis on the coupling of physical phenomena for a hyperthermia application of a tumour based on a realistic blood perfusion model has been done.
Comparison between Delay and Sum and Range Migration Algorithms for Image Reconstruction in Through-the-Wall Radar Imaging Systems
Stefano Pisa, Emanuele Piuzzi, Erika Pittella, Paolo D’Atanasio, Alessandro Zambotti, Giulia Sacco.
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These algorithms have been applied to analytical, simulated, and measured data both in the absence and in the presence of a wall between the antenna and the target. Both techniques were able to accurately reconstruct the position of targets behind a wall. The DAS presents a wider angle of non-ambiguity while the RM is faster. An improvement of the DAS, in terms of accuracy in the target positioning, is achieved applying the Fermat’s principle.
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- TWRI systems can remotely monitor thieves or robbers inside a building or subjects under the rubble.
- Delay and sum (DAS) and range migration (RM) algorithms are among the most used techniques for image reconstruction and in this paper their pros and cons are investigated.
- The two inversion algorithms have been compared based on analytical, numerical and experimental data acquired for realistic scenarios.
- DAS and RM have similar resolution and dynamics with the former having a better field of view and the latter being faster.
Water models in molecular dynamics simulation prediction of dielectric properties of biomaterials
Michal Cifra, Jiri Prusa, Daniel Havelka, Ondrej Krivosudsky.
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However, such measurements require dedicated hardware and physical availability of sufficient volume of biological samples of interest. Instead, here we demonstrate the prediction of complex permittivity of a simple biomolecular sample using computational molecular dynamics simulations. We focus here on the role of a molecular model of water since it is the major compound determining microwave dielectric properties of biological tissues and wet samples. Here, for the first time, we analyze how the common molecular water models (SPCE, TIP3P, and TIP4P) affect complex permittivity of biomolecular solutions predicted by molecular dynamics simulations. We found that the type of the molecular water model used in the simulation affects not only water contribution but also biomolecule contribution to the permittivity spectra. Our results contribute to in silico prediction and understanding of dielectric properties of biomaterials
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- Virtual dielectric spectroscopy of biomolecular samples is possible using computation methods.
- Molecular models of water affect complex permittivity predicted by molecular dynamics simulations.
- Our method enables rationalization of microwave biosensor design.
- Molecular dynamics simulation predicts and interprets complex permittivity of biosamples.
Accurate Doppler Radar-Based Cardiopulmonary Sensing Using Chest-Wall Acceleration
Mehrdad Nosrati, Negar Tavassolian.
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In this paper, we use the fact that that the displacement signal is a complex Gaussian function rather than a pure sine wave. This function shows a declining amplitude versus frequency; therefore, the heartbeat signal will be much weaker than the respiration signal and can be easily buried in the respiration’s harmonics. However, by exploiting the chest wall acceleration instead of its displacement, the heartbeat signal is greatly amplified, leading to a significantly higher heartbeat rate detection accuracy. Recorded data from 12 healthy human subjects show an average heartbeat rate detection accuracy of more than 95% when compared with reference electrocardiogram (ECG) recordings. The proposed technique is robust, simple, and requires minimum calculation resources which is important for online monitoring and power consumption reduction. Measurement results indicate its potential for being used in reliable non-contact heartbeat rate monitoring systems.
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- This paper presents a new method to increase the robustness and accuracy of Doppler radar-based vital signs monitoring sensors.
- It is shown that using the chest wall acceleration signal yields a better result compared to the chest wall displacement. The heartbeat rate detection accuracy is improved by more than 10% on average.
- A novel mathematical representation for the heartbeat mechanical signal is provided. The model is quite useful in the analysis and understanding of the human heartbeat vibration on the chest wall.
- The new model also confirms our observation that the chest wall acceleration provides a higher detection accuracy than its displacement.
RF Aspects of High and Ultra High Field Magnetic Resonance Imaging [(U)HF-MRI]: Recent Advances
Robert Caverly.
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This paper will show current trends in HF-MRI to mitigate some of these issues and provide a linkage between traditional MRI components and novel structures for UHF-MRI. Transmit and receive structures as well as the use of metamaterials for improved excitation and SNR will be covered. Other examples of these recent trends will be potential antenna structure to replace the current c.oil-based technology, and then finally, receiver/patient protection circuits will be covered.
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- High magnetic field magnetic resonance imaging requires a new look at radio frequency structures for excitation and reception of the imaging signals from nucleons. This paper provides an overview of some of the current work being done for high frequency, high magnetic field magnetic resonance imaging.
- New transmit and receiver structures are utilizing electromagnetic phenomenon rather than simple inductive effects as the frequency increases and wavelength (λ) decreases, allowing the use of metamaterials and wireless technologies.
- These new radio frequency structures will provide enhanced signal to noise ratio, leading to increased contrast and higher resolution images
- Improved, high resolution images will lead to better medical diagnoses.
Development of Water Content Dependent Tissue Dielectric Property Models
Sevde Etoz, Christopher L. Brace.
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However, dehydration effects due to thermal heating have not been fully characterized. We combined 1) Maxwell-Fricke mixture theory with a four-pole Cole-Cole equation to include water and air content dependency and as the second approach a different 2) Maxwell mixture model was coupled with a Debye function. The proposed approaches (1 and 2) were able to predict the permittivity ( ϵ′ ) and conductivity ( σ ) of bovine liver and swine lung tissues at different hydration and inflation states from 1-15 GHz. A second approach coupling Maxwell and Debye models required fewer assumptions and modelled tissue properties with higher accuracy (less than 15% mean percent error in all tissue types). These models may help improve the accuracy of microwave ablation simulation when tissue water content changes as a result of vaporization, and may facilitate personalized treatment planning.
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- Tissue constituents, air and water can be used as inputs to dielectric mixture models to predict dielectric properties of liver and lung at different hydration and inflation states, respectively.
- Maxwell mixture theory is more successful than Maxwell-Fricke mixture theory for tissue dielectric property modelling in both low and high water content tissues.
- Mixture models can be coupled with Debye and Cole-Cole equations to construct wideband tissue dielectric property models that can be used for multiple tissue types that have various water contents as well as different hydration states of the same tissue.
- These models will potentially increase the accuracy of microwave ablation simulations of liver and lung by accounting for changes in tissue constituents due to temperature elevation and water vaporization.