Real-time Microwave Imaging of Differential Temperature for Thermal Therapy Monitoring

Haynes, Mark; Stang, John; Moghaddam, Mahta

doi:10.1109/tbme.2014.2307072

Cited by 110 publications

(80 citation statements)

References 43 publications

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“…In [11] the system validation of noninvasive temperature observation in small animal (small pigs) was performed. The other real-time microwave imaging system for thermal therapy based on the microwave differential tomography is described in [12] and is based on a similar principle.…”

Section: ) Microwave Differential Tomographymentioning

confidence: 99%

Microwave Non-Invasive Temperature Monitoring Using Uwb Radar for Cancer Treatment by Hyperthermia

Fišer¹,

Helbig²,

Sachs³

et al. 2018

PIER

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Abstract-Objective:In this paper we present a study of a novel method to noninvasively monitor temperature during thermotherapy for instance in cancer treatment using M-sequence radar technology. The main objective is to investigate the temperature dependence of reflectivity in UWB radar signal in gelatine phantoms using electrically small antennas. Methods: The phantom was locally heated up, and consequently changes of signal reflectivity were observed. Results: An approximate linear relationship between temperature change and reflectivity variations was formulated. To show the potential of this approach we used an M-sequence MIMO radar system. The system was tested on breast-shape phantom with local heating by circulating water of controlled temperature. Delay and Sum algorithm was implemented for two-dimensional imaging. Significance: The article is a study of temperature measurement using UWB radar system for possible usage in thermotherapy.

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Section: ) Microwave Differential Tomographymentioning

confidence: 99%

Microwave Non-Invasive Temperature Monitoring Using Uwb Radar for Cancer Treatment by Hyperthermia

Fišer¹,

Helbig²,

Sachs³

et al. 2018

PIER

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“…California in Moghaddam's group created a microwave imaging system to image changes in the dielectric constant due to the application of microwave heating [74], [75] as shown in Figure 12. Microwave imaging of differential temperature is based on that dielectric properties of water change as a function of temperature.…”

Section: Researchers Formerly With the University Of Michigan And Nowmentioning

confidence: 99%

Advances in Microwave Near-Field Imaging: Prototypes, Systems, and Applications

Shao

McCollough²

2020

IEEE Microwave

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Microwave imaging is a science which evolves from detecting techniques to evaluate hidden or embedded objects in a structure or media using electromagnetic (EM) waves in the microwave range (i.e., from 300 MHz to 300 GHz). Microwave imaging is often associated with radar detection such as target detection and tracking, weather pattern recognition, and underground surveillance which are far-field applications. In recent years, due to microwave's characteristic that allows penetration into optically opaque media, short-range applications including medical imaging, nondestructive testing and quality evaluation, through-the-wall imaging, and security screening have been utilized. Microwave near-field imaging occurs when detecting the profile of an object within the short-range: when the distance apart from the sensor to the object is from less than one wavelength to several wavelengths --This is coarse definition because the size of the antenna and the object is often comparable to the range between them.A near-field microwave imaging system attempts to reveal the presence of an object and/or an electrical property distribution by measuring the scattered field from many positions surrounding the object. Typically many sensors are placed near the object and either a quantitative or a qualitative algorithm is applied to the collected data. Over the past few decades, both the hardware and software components of a near-field microwave imaging system technology have attracted interest throughout the world. Due to limitations of hardware technology (unavailability of data acquisition apparatus), experimental microwave imaging is very challenging for the pioneers. Examples can be found are the canine kidney imaging experiment carried by Jacobi and Larsen in the 1970s [1]-[3], and active microwave imaging for horse kidney by Jofre and Bolomey [4]. In 1990s, researchers started being able to use microwave signal higher than 1 GHz in real imaging systems. One example is by Bolomey and Pichot, who developed a practical system [5] and designed a planar microwave camera, both operating at This paper has been accepted by IEEE Microwave Magazine and published on a future issue.2.45 GHz [6]. However, Probably due to the hardware cost, most of the studies (operating at a few GHz) were still focused on software only. The feasibility of using microwave approaches to image different types of objects have been tested and verified by simulations in a variety of applications. Further, work has been conducted on improving both quantitative and qualitative algorithms to improve simulated reconstruction results. Nowadays, benefitting from the hardware progress and reduction of their cost, researchers are eager to pursue real experimental validations instead of simulations, and, more unique prototypes and commercial systems have been built for various applications. These prototypes and systems are a result of years of dedicated work and it is important to review the advancements in developed prototype systems. The article will provide an overv...

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“…Let S scat (m, n) be the scattered-field S−parameter obtained by subtracting S tot (m, n) and S inc (m, n). Then, with the existence of Σ, S scat (m, n) can be represented as follows (see [1]):…”

Section: Forward Problem and Scattering Parametermentioning

confidence: 99%

Real-time microwave imaging of unknown anomalies via scattering matrix

Park

2019

Mechanical Systems and Signal Processing

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We consider an inverse scattering problem to identify the locations or shapes of unknown anomalies from scattering parameter data collected by a small number of dipole antennas. Most of researches does not considered the influence of dipole antennas but in the experimental simulation, they are significantly affect to the identification of anomalies. Moreover, opposite to the theoretical results, it is impossible to handle scattering parameter data when the locations of the transducer and receiver are the same in real-world application. Motivated by this, we design an imaging function with and without diagonal elements of the so-called scattering matrix. This concept is based on the Born approximation and the physical interpretation of the measurement data when the locations of the transducer and receiver are the same and different. We carefully explore the mathematical structures of traditional and proposed imaging functions by finding relationships with the infinite series of Bessel functions of integer order. The explored structures reveal certain properties of imaging functions and show why the proposed method is better than the traditional approach. We present the experimental results for small and extended anomalies using synthetic and real data at several angular frequencies to demonstrate the effectiveness of our technique.

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Real-time Microwave Imaging of Differential Temperature for Thermal Therapy Monitoring

Cited by 110 publications

References 43 publications

Microwave Non-Invasive Temperature Monitoring Using Uwb Radar for Cancer Treatment by Hyperthermia

Microwave Non-Invasive Temperature Monitoring Using Uwb Radar for Cancer Treatment by Hyperthermia

Advances in Microwave Near-Field Imaging: Prototypes, Systems, and Applications

Real-time microwave imaging of unknown anomalies via scattering matrix

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