Proof-of-Concept of the Incorporation of Ultrasound-Derived Structural Information Into Microwave Radar Imaging

Omer, Muhammad; Mojabi, Puyan; Kurrant, Douglas; LoVetri, Joe; Fear, Elise C.

doi:10.1109/jmmct.2018.2865111

Cited by 35 publications

(23 citation statements)

References 26 publications

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“…MWI uses 36 transceivers and ultrasound imaging uses 64 transducers. 2 Before evaluating the use of ultrasound-derived SP, let us begin by considering the complete and perfect SP. The perfect SP for favouring the similarity between the complex permittivity in each region are shown in Figure 3(a) whereas the perfect SP for favouring edges are shown in Figure 3 3 As can be seen, both of these algorithms are relatively successful.…”

Section: Resultsmentioning

confidence: 99%

“…We note that instead of using ultrasound images as SP in MWI inversion, we can simultaneously reconstruct both ultrasound and microwave properties using appropriate MR, e.g., the cross gradient MR[11] or using the gradient of the ultrasound property within the microwave MR and using the gradient of the microwave property within the ultrasound MR[12] 2. MWI and ultrasound data are contaminated with 3% and 5% noise 3.…”

mentioning

confidence: 99%

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On Microwave Breast Imaging with Ultrasound Spatial Priors

Bayat¹,

Mojabi²,

LoVetri³

2020

Preprint

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We investigate the use of ultrasound images as prior structural information (also known as ultrasound spatial priors) to guide microwave breast imaging so as to enhance its achievable complex permittivity images. In the main approach considered herein, the edges within the discretized ultrasound compressibility image are fed as spatial priors into a microwave imaging algorithm. It is shown that this method requires minimal post-processing of the ultrasound image and can enhance the achievable microwave image accuracy. It is also demonstrated that small tumours can still go undetected in microwave breast imaging using this method if their edges are missing from the spatial priors.

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Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

On Microwave Breast Imaging with Ultrasound Spatial Priors

Bayat¹,

Mojabi²,

LoVetri³

2020

Preprint

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“…In the next step, we utilize the image from the magnetic resonance imaging (MRI) of the forearm shown in Figure 4(a) to create the SP shown in Figure 4(b). 6 The reconstruction of the real and imaginary parts of the relative complex permittivity using the SP by the MRSP-GNI, AMR-GNI, and AMR-CSI algorithms are shown in Figures 4(c)-(h). As can be seen, the main improvement over the blind inversion is the enhanced retrieval of the quantitative real part of the bone.…”

Section: B Forearm Data Setmentioning

confidence: 99%

“…Thus, the balanced inversion is not considered herein. 6 Image registration needs to be performed so that we can use the MRI image for inversion. Herein, we have used a preliminary and ad hoc method to extract the SP from the MRI image.…”

Section: B Forearm Data Setmentioning

confidence: 99%

A Multiplicative Regularizer Augmented with Spatial Priors for Microwave Imaging

Bayat¹,

Mojabi²

2020

Preprint

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The standard weighted L2 norm total variation multiplicative regularization (MR) term originally developed for microwave imaging algorithms is modified to take into account<br>structural prior information, also known as spatial priors (SP), about the object being imaged. This modification adds one extra term to the integrand of the standard MR, thus, being referred to as an augmented MR (AMR). The main advantage of the proposed approach is that it requires a minimal change to the existing microwave imaging algorithms that are already equipped with the MR. Using two experimental data sets, it is shown that the proposed AMR (i) can handle partial SP, and (ii) can, to some extent, enhance the quantitative accuracy achievable from<br>microwave imaging.

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“…Recently, to enhance the achievable MWI image accuracy, hybrid imaging approaches have been considered. The main idea has been to use a higher resolution imaging modality such as ultrasound [1,2] or magnetic resonance imaging [3,4] to create structural information to be used by MWI algorithms. These structural information are also referred to as spatial priors (SP).…”

Section: Introductionmentioning

confidence: 99%