CdZnTe Semiconductor Detectors for Spectroscopic X-ray Imaging

Szeles, Csaba; Soldner, S.A.; Vydrin, S.; Graves, J.D.; Bale, Derek S.

doi:10.1109/tns.2007.914034

Cited by 134 publications

(67 citation statements)

References 5 publications

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“…It should also be noted that since the splitting energy was selected at 42 keV, the 90 keV cropping energy basically rejected most of the pileup photons in a high energy image, considering the limited energy resolution of the detector. 65 A preliminary phantom study using bovine tissue has shown that the RMS error in water fraction reduces from 7.2% to 4.9% and 4.0%, when the cropping energy is reduced from 100 to 90 and 80 keV, respectively. Shifting the cropping energy further will not only cause more dose penalty, but also increases the quantum noise, which in turn reduces the accuracy of dual energy decomposition.…”

Section: Discussionmentioning

confidence: 99%

Breast tissue decomposition with spectral distortion correction: A postmortem study

et al. 2014

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Purpose: To investigate the feasibility of an accurate measurement of water, lipid, and protein composition of breast tissue using a photon-counting spectral computed tomography (CT) with spectral distortion corrections. Methods: Thirty-eight postmortem breasts were imaged with a cadmium-zinc-telluride-based photon-counting spectral CT system at 100 kV. The energy-resolving capability of the photon-counting detector was used to separate photons into low and high energy bins with a splitting energy of 42 keV. The estimated mean glandular dose for each breast ranged from 1.8 to 2.2 mGy. Two spectral distortion correction techniques were implemented, respectively, on the raw images to correct the nonlinear detector response due to pulse pileup and charge-sharing artifacts. Dual energy decomposition was then used to characterize each breast in terms of water, lipid, and protein content. In the meantime, the breasts were chemically decomposed into their respective water, lipid, and protein components to provide a gold standard for comparison with dual energy decomposition results. Results: The accuracy of the tissue compositional measurement with spectral CT was determined by comparing to the reference standard from chemical analysis. The averaged root-mean-square error in percentage composition was reduced from 15.5% to 2.8% after spectral distortion corrections. Conclusions:The results indicate that spectral CT can be used to quantify the water, lipid, and protein content in breast tissue. The accuracy of the compositional analysis depends on the applied spectral distortion correction technique. C 2014 American Association of Physicists in Medicine. [http://dx

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Section: Discussionmentioning

confidence: 99%

Breast tissue decomposition with spectral distortion correction: A postmortem study

et al. 2014

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“…In recent years Redlen Technologies have delivered significant improvements in the quality of travelling-heating method (THM) grown CdZnTe material, and detectors with a thickness of 15 mm have been successfully demonstrated [3]. For these reasons, there is interest in using CdZnTe to make spectroscopic x-ray imagers in the medical, security and scientific sectors [4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A multi-technique characterization of electroless gold contacts on single crystal CdZnTe radiation detectors

Bell

Baker

Chen

et al. 2013

J. Phys. D: Appl. Phys.

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“…Then each frame was sent to the workstation over a USB interface for data processing, storage, and visualization. 42,43 The peaking time of the detector was set at 160 ns. The energy resolution of the detector was calibrated up to 140 keV by the manufacturer (Endicott Interconnect Detection & Imaging Systems).…”

Section: Iib Breast Ct Systemmentioning

confidence: 99%

Tight‐frame based iterative image reconstruction for spectral breast CT

et al. 2013

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Purpose: To investigate tight-frame based iterative reconstruction (TFIR) technique for spectral breast computed tomography (CT) using fewer projections while achieving greater image quality. Methods: The experimental data were acquired with a fan-beam breast CT system based on a cadmium zinc telluride photon-counting detector. The images were reconstructed with a varying number of projections using the TFIR and filtered backprojection (FBP) techniques. The image quality between these two techniques was evaluated. The image's spatial resolution was evaluated using a high-resolution phantom, and the contrast to noise ratio (CNR) was evaluated using a postmortem breast sample. The postmortem breast samples were decomposed into water, lipid, and protein contents based on images reconstructed from TFIR with 204 projections and FBP with 614 projections. The volumetric fractions of water, lipid, and protein from the image-based measurements in both TFIR and FBP were compared to the chemical analysis. Results:The spatial resolution and CNR were comparable for the images reconstructed by TFIR with 204 projections and FBP with 614 projections. Both reconstruction techniques provided accurate quantification of water, lipid, and protein composition of the breast tissue when compared with data from the reference standard chemical analysis. Conclusions: Accurate breast tissue decomposition can be done with three fold fewer projection images by the TFIR technique without any reduction in image spatial resolution and CNR. This can result in a two-third reduction of the patient dose in a multislit and multislice spiral CT system in addition to the reduced scanning time in this system.

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CdZnTe Semiconductor Detectors for Spectroscopic X-ray Imaging

Cited by 134 publications

References 5 publications

Breast tissue decomposition with spectral distortion correction: A postmortem study

Breast tissue decomposition with spectral distortion correction: A postmortem study

A multi-technique characterization of electroless gold contacts on single crystal CdZnTe radiation detectors

Tight‐frame based iterative image reconstruction for spectral breast CT

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