Characterization of benign and malignant breast tissues using 2-D microwave tomographic imaging

2007 ◽  
Vol 49 (10) ◽  
pp. 2341-2345 ◽  
Author(s):  
G. Bindu ◽  
K. T. Mathew
1999 ◽  
Vol 18 (2) ◽  
pp. 87-93 ◽  
Author(s):  
Tiyu Gao ◽  
Jun Feng ◽  
Yunxiang Ci

Fourier transform infrared spectroscopic study of human breast normal and carcinomal tissues has been carried out. Some distinctive spectral differences which are mainly due to nucleic acids and proteins are observed between normal and carcinomal tissues. This method of analysis results in nearly 100% diagnostic accuracy of carcinomal tissues from normal tissues. The spectral patterns of well‐differentiated carcinomal tissues exhibit marked heterogeneity, however that of poorly differentiated carcinomas demonstrate significant similarity. Apocrine, tubular, intraductal and mucinous carcinomas and invasive infiltrating ductal carcinomal tissues can be discriminated based on their characteristic spectra. The spectral differences confirm the possibility of using FTIR as an accurate and rapid technique to distinguish between normal and malignant breast tissues and classify breast carcinomas in different subtypes.


2012 ◽  
Vol 36 (1) ◽  
pp. 53-62 ◽  
Author(s):  
Tatjana Dramićanin ◽  
Lea Lenhardt ◽  
Ivana Zeković ◽  
Miroslav D. Dramićanin

Abstract Fluorescence excitation-emission spectroscopy was used to investigate specimens of normal and malignant human breast tissues. Measurements were performed in two spectral regions: in the excitation range from 335nm to 400nm and emission range from 430nm to 625 nm, and in the excitation range from 400nm to 470nm and emission range from 500nm to 640 nm. It was found that fluorescence spectra are composed mainly of the emissions of extracellular proteins and that the differences in the intensity of their emissions reveal the changes in the tissue structure and morphology. These differences could be best observed in the emission spectra excited with 370 nm, 425nm and 455nm radiation. Statistical analysis revealed several spectral subregions that exhibited extremely significant statistical difference between normal and malignant breast tissues. The origin of these differences was elaborated, and prospects for optical diagnostics of breast cancer was discussed.


2005 ◽  
Vol 2 (1) ◽  
pp. 57-68 ◽  
Author(s):  
G. Bindu ◽  
Santhosh John Abraha . ◽  
Anil Lonappan . ◽  
Vinu Thomas . ◽  
C.K. Aanandan . ◽  
...  

1995 ◽  
Vol 80 (10) ◽  
pp. 3052-3058 ◽  
Author(s):  
A Purohit ◽  
M W Ghilchik ◽  
L Duncan ◽  
D Y Wang ◽  
A Singh ◽  
...  

2006 ◽  
Vol 20 (7) ◽  
pp. 873-890 ◽  
Author(s):  
S. Y. Semenov ◽  
V. G. Posukh ◽  
A. E. Bulyshev ◽  
T. C. Williams ◽  
Y. E. Sizov ◽  
...  

2006 ◽  
Vol 2006 ◽  
pp. 1-11 ◽  
Author(s):  
Z. G. Wang ◽  
Y. Liu ◽  
L. Z. Sun ◽  
G. Wang ◽  
L. L. Fajardo

A new imaging modality framework, called elasto-mammography, is proposed to generate the elastograms of breast tissues based on conventional X-ray mammography. The displacement information is extracted from mammography projections before and after breast compression. Incorporating the displacement measurement, an elastography reconstruction algorithm is specifically developed to estimate the elastic moduli of heterogeneous breast tissues. Case studies with numerical breast phantoms are conducted to demonstrate the capability of the proposed elasto-mammography. Effects of noise with measurement, geometric mismatch, and elastic contrast ratio are evaluated in the numerical simulations. It is shown that the proposed methodology is stable and robust for characterization of the elastic moduli of breast tissues from the projective displacement measurement.


Author(s):  
Mariko Tsukune ◽  
Yo Kobayashi ◽  
Takeharu Hoshi ◽  
Yasuyuki Shiraishi ◽  
Tomoyuki Miyashita ◽  
...  

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