Literature DB >> 26469125

A Compressive Sensing Approach for 3D Breast Cancer Microwave Imaging With Magnetic Nanoparticles as Contrast Agent.

Martina T Bevacqua, Rosa Scapaticci.   

Abstract

In microwave breast cancer imaging magnetic nanoparticles have been recently proposed as contrast agent. Due to the non-magnetic nature of human tissues, magnetic nanoparticles make possible the overcoming of some limitations of conventional microwave imaging techniques, thus providing reliable and specific diagnosis of breast cancer. In this paper, a Compressive Sensing inspired inversion technique is introduced for the reconstruction of the magnetic contrast induced within the tumor. The applicability of Compressive Sensing theory is guaranteed by the fact that the underlying inverse scattering problem is linear and the searched magnetic perturbation is sparse. From the numerical analysis, performed in realistic conditions in 3D geometry, it has been pointed out that the adoption of this new tool allows improving resolution and accuracy of the reconstructions, as well as reducing the number of required measurements.

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Year:  2015        PMID: 26469125     DOI: 10.1109/TMI.2015.2490340

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  8 in total

1.  Magnetic nanoparticles in cancer diagnosis, drug delivery and treatment.

Authors:  Meijia Wu; Shengwu Huang
Journal:  Mol Clin Oncol       Date:  2017-08-28

2.  Detectability of Breast Tumor by a Hand-held Impulse-Radar Detector: Performance Evaluation and Pilot Clinical Study.

Authors:  Hang Song; Shinsuke Sasada; Takayuki Kadoya; Morihito Okada; Koji Arihiro; Xia Xiao; Takamaro Kikkawa
Journal:  Sci Rep       Date:  2017-11-27       Impact factor: 4.379

3.  Parameter Search Algorithms for Microwave Radar-Based Breast Imaging: Focal Quality Metrics as Fitness Functions.

Authors:  Declan O'Loughlin; Bárbara L Oliveira; Muhammad Adnan Elahi; Martin Glavin; Edward Jones; Milica Popović; Martin O'Halloran
Journal:  Sensors (Basel)       Date:  2017-12-06       Impact factor: 3.576

Review 4.  Early Diagnosis of Breast Cancer.

Authors:  Lulu Wang
Journal:  Sensors (Basel)       Date:  2017-07-05       Impact factor: 3.576

Review 5.  Microwave Sensors for Breast Cancer Detection.

Authors:  Lulu Wang
Journal:  Sensors (Basel)       Date:  2018-02-23       Impact factor: 3.576

6.  Sparsity-Driven Reconstruction Technique for Microwave/Millimeter-Wave Computational Imaging.

Authors:  Thomas Fromenteze; Cyril Decroze; Sana Abid; Okan Yurduseven
Journal:  Sensors (Basel)       Date:  2018-05-12       Impact factor: 3.576

7.  Bayesian Compressive Sensing Based Optimized Node Selection Scheme in Underwater Sensor Networks.

Authors:  Ruisong Wang; Gongliang Liu; Wenjing Kang; Bo Li; Ruofei Ma; Chunsheng Zhu
Journal:  Sensors (Basel)       Date:  2018-08-06       Impact factor: 3.576

Review 8.  Review of Microwaves Techniques for Breast Cancer Detection.

Authors:  Maged A Aldhaeebi; Khawla Alzoubi; Thamer S Almoneef; Saeed M Bamatraf; Hussein Attia; Omar M Ramahi
Journal:  Sensors (Basel)       Date:  2020-04-22       Impact factor: 3.576

  8 in total

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