Abstract | ||
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Magnetic nanoparticles-enhanced microwave imaging has been recently proposed to overcome the limitations of conventional microwave imaging methods for breast cancer monitoring. In this paper, we discuss how to tackle the linear inverse scattering problem underlying this novel technique in an effective way. In particular, our aim is to minimize the required a priori patient-specific information, avoid occurrence of false positives, and keep the computational burden low. By relying on an extensive numerical analysis in realistic conditions, we show that the method can provide accurate and reliable images without information on the inner structure of the inspected breast and with an only rough knowledge of its shape. Notably, this allows moving to an offline stage the computationally intensive part of the image formation procedure. In addition, we show how to appraise the total amount of magnetic contrast agent targeted in the tumor. |
Year | DOI | Venue |
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2014 | 10.1109/TBME.2013.2293839 | Biomedical Engineering, IEEE Transactions |
Keywords | Field | DocType |
biological organs,cancer,image enhancement,inverse problems,magnetic particles,medical image processing,microwave imaging,nanomagnetics,nanomedicine,nanoparticles,numerical analysis,patient monitoring,tumours,MNP-enhanced breast cancer microwave imaging,breast cancer monitoring,image formation,linear inverse scattering problem,magnetic contrast agent,magnetic nanoparticle-enhanced microwave imaging,numerical analysis,patient-specific information,tumor,Breast cancer imaging,contrast agents,magnetic nanoparticles,microwave imaging | Biomedical engineering,Computer science,Medical imaging,Remote patient monitoring,A priori and a posteriori,Image formation,Inverse problem,Artificial intelligence,Inverse scattering problem,Computer vision,Algorithm,Microwave imaging,False positive paradox | Journal |
Volume | Issue | ISSN |
61 | 4 | 0018-9294 |
Citations | PageRank | References |
9 | 0.79 | 4 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rosa Scapaticci | 1 | 27 | 3.96 |
Gennaro Bellizzi | 2 | 32 | 6.48 |
Ilaria Catapano | 3 | 105 | 16.35 |
Lorenzo Crocco | 4 | 97 | 15.77 |