Energy resolution of a photon-counting silicon strip detector

Fredenberg, Erik; Lundqvist, Mats; Cederström, Björn; Åslund, Magnus; Danielsson, Mats

doi:10.1016/j.nima.2009.10.152

Cited by 93 publications

(108 citation statements)

References 28 publications

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“…Photons that interact in the detector are converted to pulses with amplitude proportional to the photon energy. 20 Virtually all pulses below a few keV are generated by noise and are rejected by a low-energy threshold. A high-energy threshold sorts the detected pulses into two bins according to energy, and the system therefore enables the simultaneous measurement of the energy-dependent attenuation at two different effective energies.…”

Section: Photon-counting Spectral Mammography Systemmentioning

confidence: 99%

X-ray attenuation of adipose breast tissue: in-vitro and in-vivo measurements using spectral imaging

et al. 2015

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The development of new x-ray imaging techniques often requires prior knowledge of tissue attenuation, but the sources of such information are sparse. We have measured the attenuation of adipose breast tissue using spectral imaging, in vitro and in vivo. For the in-vitro measurement, fixed samples of adipose breast tissue were imaged on a spectral mammography system, and the energy-dependent x-ray attenuation was measured in terms of equivalent thicknesses of aluminum and poly-methyl methacrylate (PMMA). For the in-vivo measurement, a similar procedure was applied on a number of spectral screening mammograms. The results of the two measurements agreed well and were consistent with published attenuation data and with measurements on tissue-equivalent material.

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Section: Photon-counting Spectral Mammography Systemmentioning

confidence: 99%

X-ray attenuation of adipose breast tissue: in-vitro and in-vivo measurements using spectral imaging

et al. 2015

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“…5,6 It is a scanning multi-slit system with photon-counting silicon strip detectors and a pixel pitch of 50 µm. Two thresholds are implemented in the detector electronics: One low-energy threshold at approximately 10 keV that discriminates against electronic noise, and one high-energy threshold that assigns each detected photon to a high or a low energy bin.…”

Section: Imaging Systemmentioning

confidence: 99%

Energy weighting improves the image quality of spectral mammograms: Implementation on a photon-counting mammography system

et al. 2014

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In x-ray imaging, contrast information content varies with photon energy. It is therefore possible to improve image quality by weighting photons according to energy. We have implemented and evaluated so-called energy weighting on a commercially available spectral photon-counting mammography system. A practical formula for calculating the optimal weight from pixel values was derived. Computer simulations and phantom measurements revealed that the contrast-tonoise ratio was improved by 3%-5%, and automatic image analysis showed that the improvement was detectable in a set of screening mammograms.

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“…24,25 The system is equipped with photon-counting silicon strip detectors, which can be made energy sensitive, 12 and which are scanned across the object to acquire an image. The left-hand panel of Fig.…”

Section: A Photon-counting Phase-contrast Mammography Setupmentioning

confidence: 99%

“…10 The same kind of tradeoff exists in phase-contrast imaging with a resulting optimal energy. 11 Photon-counting detectors are fast enough to measure the energy of individual photons 12 and can be employed for single-shot spectral imaging. There are two well-investigated applications of spectral absorption-contrast imaging: (1) Energy weighting is optimization of the signal-to-noise ratio by weighting photons according to information content.…”

Section: Introductionmentioning

confidence: 99%

Photon-counting spectral phase-contrast mammography

et al. 2012

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Phase-contrast imaging is an emerging technology that may increase the signal-difference-to-noise ratio in medical imaging. One of the most promising phase-contrast techniques is Talbot interferometry, which, combined with energy-sensitive photon-counting detectors, enables spectral differential phase-contrast mammography. We have evaluated a realistic system based on this technique by cascaded-systems analysis and with a task-dependent ideal-observer detectability index as a figure-of-merit. Beam-propagation simulations were used for validation and illustration of the analytical framework. Differential phase contrast improved detectability compared to absorption contrast, in particular for fine tumor structures. This result was supported by images of human mastectomy samples that were acquired with a conventional detector. The optimal incident energy was higher in differential phase contrast than in absorption contrast when disregarding the setup design energy. Further, optimal weighting of the transmitted spectrum was found to have a weaker energy dependence than for absorption contrast. Taking the design energy into account yielded a superimposed maximum on both detectability as a function of incident energy, and on optimal weighting. Spectral material decomposition was not facilitated by phase contrast, but phase information may be used instead of spectral information.

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Energy resolution of a photon-counting silicon strip detector

Cited by 93 publications

References 28 publications

X-ray attenuation of adipose breast tissue: in-vitro and in-vivo measurements using spectral imaging

X-ray attenuation of adipose breast tissue: in-vitro and in-vivo measurements using spectral imaging

Energy weighting improves the image quality of spectral mammograms: Implementation on a photon-counting mammography system

Photon-counting spectral phase-contrast mammography

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