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Open AccessArticle

Multimodal Breast Phantoms for Microwave, Ultrasound, Mammography, Magnetic Resonance and Computed Tomography Imaging

1
School of Medicine, National University of Ireland Galway, Galway 8, Ireland
2
Endowave Ltd., Dublin 2, Ireland
3
Dipartimento di Ingegneria, Università degli Studi della Campania Luigi Vanvitelli, 81031 Aversa, Italy
4
Department of Information Engineering, Electronics, and Telecommunications, Sapienza University, 00185 Rome, Italy
5
Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
6
Medical Physics and Bioengineering Department, St. James’s Hospital, Dublin 8, Ireland
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Antenna & High Frequency Research Centre, Technological University Dublin, Dublin 8, Ireland
8
DET—Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy
9
School of Physics and Clinical & Optometric Sciences, Medical Ultrasound Physics and Technology Group, IEO, FOCAS, Technical University Dublin, Dublin 8, Ireland
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(8), 2400; https://doi.org/10.3390/s20082400
Received: 17 March 2020 / Revised: 20 April 2020 / Accepted: 21 April 2020 / Published: 23 April 2020
The aim of this work was to develop multimodal anthropomorphic breast phantoms suitable for evaluating the imaging performance of a recently-introduced Microwave Imaging (MWI) technique in comparison to the established diagnostic imaging modalities of Magnetic Resonance Imaging (MRI), Ultrasound (US), mammography and Computed Tomography (CT). MWI is an emerging technique with significant potential to supplement established imaging techniques to improve diagnostic confidence for breast cancer detection. To date, numerical simulations have been used to assess the different MWI scanning and image reconstruction algorithms in current use, while only a few clinical trials have been conducted. To bridge the gap between the numerical simulation environment and a more realistic diagnostic scenario, anthropomorphic phantoms which mimic breast tissues in terms of their heterogeneity, anatomy, morphology, and mechanical and dielectric characteristics, may be used. Key in this regard is achieving realism in the imaging appearance of the different healthy and pathologic tissue types for each of the modalities, taking into consideration the differing imaging and contrast mechanisms for each modality. Suitable phantoms can thus be used by radiologists to correlate image findings between the emerging MWI technique and the more familiar images generated by the conventional modalities. Two phantoms were developed in this study, representing difficult-to-image and easy-to-image patients: the former contained a complex boundary between the mammary fat and fibroglandular tissues, extracted from real patient MRI datasets, while the latter contained a simpler and less morphologically accurate interface. Both phantoms were otherwise identical, with tissue-mimicking materials (TMMs) developed to mimic skin, subcutaneous fat, fibroglandular tissue, tumor and pectoral muscle. The phantoms’ construction used non-toxic materials, and they were inexpensive and relatively easy to manufacture. Both phantoms were scanned using conventional modalities (MRI, US, mammography and CT) and a recently introduced MWI radar detection procedure called in-coherent Multiple Signal Classification (I-MUSIC). Clinically realistic artifact-free images of the anthropomorphic breast phantoms were obtained using the conventional imaging techniques as well as the emerging technique of MWI. View Full-Text
Keywords: microwave imaging; dielectric properties; tissue-mimicking materials microwave imaging; dielectric properties; tissue-mimicking materials
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MDPI and ACS Style

Ruvio, G.; Solimene, R.; Cuccaro, A.; Fiaschetti, G.; Fagan, A.J.; Cournane, S.; Cooke, J.; Ammann, M.J.; Tobon, J.; Browne, J.E. Multimodal Breast Phantoms for Microwave, Ultrasound, Mammography, Magnetic Resonance and Computed Tomography Imaging. Sensors 2020, 20, 2400. https://doi.org/10.3390/s20082400

AMA Style

Ruvio G, Solimene R, Cuccaro A, Fiaschetti G, Fagan AJ, Cournane S, Cooke J, Ammann MJ, Tobon J, Browne JE. Multimodal Breast Phantoms for Microwave, Ultrasound, Mammography, Magnetic Resonance and Computed Tomography Imaging. Sensors. 2020; 20(8):2400. https://doi.org/10.3390/s20082400

Chicago/Turabian Style

Ruvio, Giuseppe; Solimene, Raffaele; Cuccaro, Antonio; Fiaschetti, Gaia; Fagan, Andrew J.; Cournane, Sean; Cooke, Jennie; Ammann, Max J.; Tobon, Jorge; Browne, Jacinta E. 2020. "Multimodal Breast Phantoms for Microwave, Ultrasound, Mammography, Magnetic Resonance and Computed Tomography Imaging" Sensors 20, no. 8: 2400. https://doi.org/10.3390/s20082400

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