scholarly journals Characterization of the diffusion signal of breast tissues using multi‐exponential models

Author(s):  
Ana E. Rodríguez‐Soto ◽  
Maren M. Sjaastad Andreassen ◽  
Lauren K. Fang ◽  
Christopher C. Conlin ◽  
Helen H. Park ◽  
...  
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 ◽  
...  

1985 ◽  
Vol 28 (8) ◽  
pp. 807-820 ◽  
Author(s):  
Jean-Pierre Charles ◽  
Ismail Mekkaoui-Alaoui ◽  
Guy Bordure ◽  
Pierre Mialhe

2019 ◽  
Vol 155 ◽  
pp. 69-74 ◽  
Author(s):  
M. Antoniassi ◽  
K.F.R. Maciel ◽  
F.A. Manfre ◽  
A.C.F. Fagundes ◽  
A.L.C. Conceição

2019 ◽  
Vol 64 (15) ◽  
pp. 155011 ◽  
Author(s):  
Anna Piai ◽  
Adriano Contillo ◽  
Fulvia Arfelli ◽  
Deborah Bonazza ◽  
Luca Brombal ◽  
...  

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.


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