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

2021 ◽  
Author(s):  
Ana E. Rodríguez‐Soto ◽  
Maren M. Sjaastad Andreassen ◽  
Lauren K. Fang ◽  
Christopher C. Conlin ◽  
Helen H. Park ◽  
...  
Keyword(s):  
Exponential Models ◽  
Breast Tissues

scholarly journals Elasto-mammography: Theory, Algorithm, and Phantom Study

2006 ◽  
Vol 2006 ◽  
pp. 1-11 ◽  
Author(s):  
Z. G. Wang ◽  
Y. Liu ◽  
L. Z. Sun ◽  
G. Wang ◽  
L. L. Fajardo
Keyword(s):  
Elastic Moduli ◽  
Imaging Modality ◽  
Contrast Ratio ◽  
Reconstruction Algorithm ◽  
Displacement Measurement ◽  
Breast Compression ◽  
Before And After ◽  
Breast Tissues ◽  
Displacement Information

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.

Nonlinear Reaction Force Analysis for Characterization of Breast Tissues

2012 ◽  
pp. 125-134 ◽  
Author(s):  
Mariko Tsukune ◽  
Yo Kobayashi ◽  
Takeharu Hoshi ◽  
Yasuyuki Shiraishi ◽  
Tomoyuki Miyashita ◽  
...  
Keyword(s):  
Reaction Force ◽  
Force Analysis ◽  
Nonlinear Reaction ◽  
Breast Tissues

A critical study of the effectiveness of the single and double exponential models for I–V characterization of solar cells

1985 ◽  
Vol 28 (8) ◽  
pp. 807-820 ◽  
Author(s):  
Jean-Pierre Charles ◽  
Ismail Mekkaoui-Alaoui ◽  
Guy Bordure ◽  
Pierre Mialhe
Keyword(s):  
Solar Cells ◽  
Critical Study ◽  
Exponential Models ◽  
Double Exponential

Characterization of breast tissues combining x-ray fluorescence and scattering spectroscopy: A Monte Carlo computational study

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
Keyword(s):  
Monte Carlo ◽  
Computational Study ◽  
X Ray ◽  
Breast Tissues

The diagnostic capability of laser induced fluorescence in the characterization of excised breast tissues

Laser Physics ◽  
2017 ◽  
Vol 27 (8) ◽  
pp. 085601
Author(s):  
A H Galmed ◽  
Wael M Elshemey
Keyword(s):  
Laser Induced Fluorescence ◽  
Diagnostic Capability ◽  
Breast Tissues

scholarly journals Characterization of breast tissues using Compton scattering

2010 ◽  
Vol 619 (1-3) ◽  
pp. 375-378 ◽  
Author(s):  
M. Antoniassi ◽  
A.L.C. Conceição ◽  
M.E. Poletti
Keyword(s):  
Compton Scattering ◽  
Breast Tissues

scholarly journals Quantitative characterization of breast tissues with dedicated CT imaging

2019 ◽  
Vol 64 (15) ◽  
pp. 155011 ◽  
Author(s):  
Anna Piai ◽  
Adriano Contillo ◽  
Fulvia Arfelli ◽  
Deborah Bonazza ◽  
Luca Brombal ◽  
...  
Keyword(s):  
Ct Imaging ◽  
Quantitative Characterization ◽  
Breast Tissues

scholarly journals Human Breast Carcinomal Tissues Display Distinctive FTIR Spectra: Implication for the Histological Characterization of Carcinomas

1999 ◽  
Vol 18 (2) ◽  
pp. 87-93 ◽  
Author(s):  
Tiyu Gao ◽  
Jun Feng ◽  
Yunxiang Ci
Keyword(s):  
Infrared Spectroscopic Study ◽  
Human Breast ◽  
Significant Similarity ◽  
Normal Tissues ◽  
Malignant Breast ◽  
Poorly Differentiated ◽  
Well Differentiated ◽  
Spectral Patterns ◽  
Breast Tissues

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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