Breast Surface Estimation for Radar-Based Breast Imaging Systems

2008 ◽  
Vol 55 (6) ◽  
pp. 1678-1686 ◽  
Author(s):  
Trevor C. Williams ◽  
Jeff M. Sill ◽  
Elise C. Fear
2011 ◽  
Vol 58 (5) ◽  
pp. 1193-1199 ◽  
Author(s):  
T C Williams ◽  
J Bourqui ◽  
T R Cameron ◽  
M Okoniewski ◽  
E C Fear

2010 ◽  
Vol 10 (01) ◽  
pp. 5-34 ◽  
Author(s):  
S. VINITHA SREE ◽  
EDDIE Y.-K. NG ◽  
RAJENDRA ACHARYA U ◽  
WILLIAM TAN

Due to the successful union between computational technologies and basic laws of physics and biological sciences, many biomedical imaging systems now find significant presence in clinical settings, aiding physicians in diagnosing most forms of human illness with more confidence. In the case of breast imaging, apart from the basic diagnosis, these imaging systems also help in locating the abnormal tissues for biopsy, identifying the exact margins of the lesion for good lumpectomy results, staging and restaging the cancer, detecting locations of metastases, and planning and following up treatment protocols. It is well known that early detection of cancer is the only way to increase the survival rate of the patient. Without such imaging systems, it would be hard and almost impossible for the physicians to determine the nature and extent of the disease by merely simple physical examinations and biopsies. This article presents a description of most of these invaluable breast-imaging systems. Moreover, a comparison of these modalities and a review of a few of the developments these devices have come across over the years are also given.


2014 ◽  
Vol 41 (6Part26) ◽  
pp. 446-447 ◽  
Author(s):  
K Myers ◽  
P Bakic ◽  
C Abbey ◽  
M Kupinski ◽  
T Mertelmeier

Author(s):  
S. Di Meo ◽  
A. Martellosio ◽  
M. Pasian ◽  
M. Bozzi ◽  
L. Perregrini ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Mark Haynes ◽  
John Stang ◽  
Mahta Moghaddam

The increasing number of experimental microwave breast imaging systems and the need to properly model them have motivated our development of an integrated numerical characterization technique. We use Ansoft HFSS and a formalism we developed previously to numerically characterize anS-parameter- based breast imaging system and link it to an inverse scattering algorithm. We show successful reconstructions of simple test objects using synthetic and experimental data. We demonstrate the sensitivity of image reconstructions to knowledge of the background dielectric properties and show the limits of the current model.


2018 ◽  
Vol 46 (4) ◽  
pp. 349-354 ◽  
Author(s):  
Sara M. Nardinger ◽  
Thuy D. Tran ◽  
Tiffinee N. Swanson ◽  
Lacey R. Ellingson ◽  
Courtney M. Solberg ◽  
...  

2021 ◽  
Vol 27 (07) ◽  
Author(s):  
Maura Dantuma ◽  
Saskia C. Kruitwagen ◽  
Marlies J. Weggemans ◽  
Tim J. P. M. Op’t Root ◽  
Srirang Manohar

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