Search for novel contrast materials in dual-energy x-ray breast imaging using theoretical modeling of contrast-to-noise ratio

2014 ◽  
Vol 59 (15) ◽  
pp. 4311-4324 ◽  
Author(s):  
R Karunamuni ◽  
A D A Maidment
2014 ◽  
Vol 87 (1041) ◽  
pp. 20140081 ◽  
Author(s):  
R Karunamuni ◽  
A Tsourkas ◽  
A D A Maidment

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
V. Koukou ◽  
N. Martini ◽  
C. Michail ◽  
P. Sotiropoulou ◽  
C. Fountzoula ◽  
...  

Dual energy methods can suppress the contrast between adipose and glandular tissues in the breast and therefore enhance the visibility of calcifications. In this study, a dual energy method based on analytical modeling was developed for the detection of minimum microcalcification thickness. To this aim, a modified radiographic X-ray unit was considered, in order to overcome the limited kVp range of mammographic units used in previous DE studies, combined with a high resolution CMOS sensor (pixel size of 22.5 μm) for improved resolution. Various filter materials were examined based on their K-absorption edge. Hydroxyapatite (HAp) was used to simulate microcalcifications. The contrast to noise ratio (CNRtc) of the subtracted images was calculated for both monoenergetic and polyenergetic X-ray beams. The optimum monoenergetic pair was 23/58 keV for the low and high energy, respectively, resulting in a minimum detectable microcalcification thickness of 100 μm. In the polyenergetic X-ray study, the optimal spectral combination was 40/70 kVp filtered with 100 μm cadmium and 1000 μm copper, respectively. In this case, the minimum detectable microcalcification thickness was 150 μm. The proposed dual energy method provides improved microcalcification detectability in breast imaging with mean glandular dose values within acceptable levels.


Author(s):  
Pablo Milioni de Carvalho ◽  
Ann-Katherine Carton ◽  
Sylvie Saab-Puong ◽  
Răzvan Iordache ◽  
Serge Muller

Author(s):  
R. F. Egerton

An important parameter governing the sensitivity and accuracy of elemental analysis by electron energy-loss spectroscopy (EELS) or by X-ray emission spectroscopy is the signal/noise ratio of the characteristic signal.


2017 ◽  
Author(s):  
Khalaf Alshamrani ◽  
Amaka Offiah ◽  
Elzene kruger
Keyword(s):  
Bone Age ◽  

Sign in / Sign up

Export Citation Format

Share Document