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2010
DOI: 10.1007/978-3-642-13666-5_58
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Optimised Breast Tomosynthesis with a Novel CMOS Flat Panel Detector

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Cited by 8 publications
(7 citation statements)
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“…Figure 8 shows the calculated CNR of microcalcifications with diameters of 165, 230, and 400 µm at various MGDs using Eqs. (19), (20), and (22)-(24). The selected microcalcification sizes correspond to a commercial BR3D phantom (CIRS, USA) with a thickness of 5 cm and a glandular fraction of 50%.…”
Section: B Cnr Of Microcalcificationsmentioning
confidence: 99%
See 2 more Smart Citations
“…Figure 8 shows the calculated CNR of microcalcifications with diameters of 165, 230, and 400 µm at various MGDs using Eqs. (19), (20), and (22)-(24). The selected microcalcification sizes correspond to a commercial BR3D phantom (CIRS, USA) with a thickness of 5 cm and a glandular fraction of 50%.…”
Section: B Cnr Of Microcalcificationsmentioning
confidence: 99%
“…18,19 More specifically, the image quality metrics such as modulation transfer function (MTF), noise power spectrum (NPS), and detective quantum efficiency (DQE) of a 29 × 23 cm 2 large area CMOS APS x-ray imager [Dexela 2923 MAM (PerkinElmer, London)] with a ∼75 µm pixel pitch have been measured by various groups for both digital mammography and DBT. [18][19][20][21] The pixel size is capable of achieving a high Nyquist frequency ( f Nyq ) of ∼6.7 lp/mm for improved image quality. DQE of greater than 0.6 was achieved under DBT exposure conditions.…”
Section: Introductionmentioning
confidence: 99%
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“…Specifically, the 2D projection image quality of a CMOS APS x-ray imager with a 75 μm pixel pitch (Dexela 2923 MAM) has been intensively evaluated for breast imaging applications such as mammography and digital breast tomosynthesis (DBT) (Choi et al 2012, Konstantinidis et al 2012a, Patel et al 2012, Zhao et al 2015. Naday et al (2010) and Park et al (2014) also evaluated the DBT reconstructed images. As early indicators of breast cancer, detection of microcalcifications in sizes below 200 μm is critical but challenging for radiologists (Wheeler et al 2006).…”
Section: Introductionmentioning
confidence: 99%
“…The various strategies can be divided into two categories: one is to increase the x-ray-to-image charge conversion gain so that the x-ray quantum noise can overcome the electronic noise; 6,7 and the other is to decrease the electronic noise by incorporating amplification at each pixel of the TFT array, 8,9 or using tiled CMOS amplified pixel sensors (APS). 10,11 We are investigating the first strategy by the use of an AMFPI with avalanche gain, which we call scintillator high-gain avalanche rushing photoconductor AMFPI (SHARP-AMFPI). 7 It is an indirect conversion AMFPI, where an x-ray scintillator such as structured cesium iodide (CsI) is used to convert x rays into optical photons.…”
Section: Introductionmentioning
confidence: 99%