A novel approach to background subtraction in contrast-enhanced dual-energy digital mammography with commercially available mammography devices: Noise minimization

2016 ◽  
Vol 43 (6Part1) ◽  
pp. 3080-3089 ◽  
Author(s):  
Adriano Contillo ◽  
Giovanni Di Domenico ◽  
Paolo Cardarelli ◽  
Mauro Gambaccini ◽  
Angelo Taibi
Keyword(s):  
Digital Mammography ◽  
Background Subtraction ◽  
Dual Energy ◽  
Novel Approach ◽  
Contrast Enhanced

A novel approach to background subtraction in contrast‐enhanced dual‐energy digital mammography with commercially available mammography devices: Polychromaticity correction

2015 ◽  
Vol 42 (11) ◽  
pp. 6641-6650 ◽  
Author(s):  
Adriano Contillo ◽  
Giovanni Di Domenico ◽  
Paolo Cardarelli ◽  
Mauro Gambaccini ◽  
Angelo Taibi
Keyword(s):  
Digital Mammography ◽  
Background Subtraction ◽  
Dual Energy ◽  
Novel Approach ◽  
Contrast Enhanced

scholarly journals New technologies in breast cancer detection – contrast enhanced dual-energy spectral mammography

2019 ◽  
pp. 49-61
Author(s):  
A. V. Chernaya ◽  
S. N. Novikov ◽  
P. V. Krivorotko ◽  
R. Kh. Ulyanova ◽  
V. V. Danilov
Keyword(s):  
Breast Cancer ◽  
Digital Mammography ◽  
Predictive Value ◽  
New Technologies ◽  
Malignant Tumors ◽  
Dual Energy ◽  
Post Contrast ◽  
Morphological Studies ◽  
Contrast Enhanced ◽  
Sensitivity Specificity

Purpose: to study the possibilities of contrast enhanced dual-energy spectral mammography (CESM) in the diagnostics of malignant tumors in the breast.Material and methods. Forty-seven patients with suspicious for breast cancer (BC) lesions underwent CESM. Digital mammography (MMG) and post-contrast images were correlated with the results of path morphological studies after surgery or puncture biopsy was performed.Results. Sensitivity, specificity and overall accuracy in the diagnostics of breast cancer were 83.3%, 85.7%, 85.1% for digital mammography and 91.6%, 91.4%, 91.4% for CESM, respectively. The positive predictive value was 66.6% for digital MMG and 78.5% for CESM. The negative predictive value (NPV) was 96.9% for the CESM and exceeded NPV of the digital MMG, which was 93.7%.Conclusion. Thus, these findings suggest that CESM is an effective method for the diagnostics of malignant tumors in the breast.

WE-G-103-01: Dual-Energy Temporal Study of Contrast-Enhanced Digital Mammography in 20 Patients: The Use of a Pixel-By-Pixel Weighting Formalism for the Subtraction

2013 ◽  
Vol 40 (6Part31) ◽  
pp. 509-509
Author(s):  
ME Brandan ◽  
JP Cruz-Bastida ◽  
IM Rosado-Mendez ◽  
H Perez-Ponce ◽  
MJ Mateos ◽  
...  
Keyword(s):  
Digital Mammography ◽  
Dual Energy ◽  
Temporal Study ◽  
Contrast Enhanced

Susceptibility of iodine concentration map of dual-energy contrast-enhanced digital mammography for quantitative and tumor enhancement assessment

2017 ◽  
Vol 59 (8) ◽  
pp. 893-901 ◽  
Author(s):  
Yi-Shuan Hwang ◽  
Yun-Chung Cheung ◽  
Yu-Ying Lin ◽  
Hsiao-Lan Hsu ◽  
Hui-Yu Tsai
Keyword(s):  
Digital Mammography ◽  
Quantitative Relationship ◽  
Iodine Concentration ◽  
Dual Energy ◽  
Additional Information ◽  
Contrast Enhanced ◽  
Custom Made ◽  
Iodine Map ◽  
The Mean ◽  
Relative Errors

Background Dual-energy (DE) contrast-enhanced digital mammography (DE-CEDM) provides additional information on tumor angiogenesis. Purpose To investigate the susceptibility of reconstructing color-coded iodine concentration maps on the basis of quantitative calibrations of the iodine concentration and contrast-to-noise ratio (CNR) in DE-CEDM applications. Material and Methods A custom-made phantom filled with iodine concentrations in the range of 0.1–10 mg/cm2 was used in calibrations. All DE images were acquired using the GE Senographe Essential system. From DE subtraction images, the image contrast and CNR were obtained, and the quantitative relationship between these two metrics and the iodine concentration at each phantom thickness was investigated. The quantitative CNR calibration curves were applied to reconstruct color-coded iodine maps on a pixel-by-pixel basis. Results Both the mean contrast and mean CNR increased linearly with the iodine concentration. The iodine concentration estimated from the iodine map reconstructed from quantitative CNR calibrations was highly consistent with the desired iodine concentration (R2 = 0.989), and smaller relative errors (in the range of 3.0–19.5%) were observed with iodine concentrations not less than 1 mg/cm2. Conclusion An iodine concentration map could be reconstructed based on the linear relationship between the CNR and iodine concentration. From the color-coded iodine concentration map, the contrast medium enhancement phenomenon could be further estimated quantitatively, and tumor enhancement patterns could be easily observed.

scholarly journals Dual-energy contrast-enhanced digital mammography: Examination protocol

2014 ◽  
Vol 95 (3) ◽  
pp. 351-352 ◽  
Author(s):  
F.R. Barra ◽  
A.C. Ribeiro ◽  
O.D. Mathieu ◽  
A.C. Rodrigues
Keyword(s):  
Digital Mammography ◽  
Dual Energy ◽  
Examination Protocol ◽  
Contrast Enhanced

scholarly journals Bilateral Contrast-enhanced Dual-Energy Digital Mammography: Feasibility and Comparison with Conventional Digital Mammography and MR Imaging in Women with Known Breast Carcinoma

Radiology ◽  
2013 ◽  
Vol 266 (3) ◽  
pp. 743-751 ◽  
Author(s):  
Maxine S. Jochelson ◽  
D. David Dershaw ◽  
Janice S. Sung ◽  
Alexandra S. Heerdt ◽  
Cynthia Thornton ◽  
...  
Keyword(s):  
Breast Carcinoma ◽  
Mr Imaging ◽  
Digital Mammography ◽  
Dual Energy ◽  
Contrast Enhanced
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