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Record W4251114517 · doi:10.1149/ma2014-01/40/1498

Performance Characteristics of CZT Detectors for PET Imaging Applications

2014· article· en· W4251114517 on OpenAlexaffabout
Xiaoqing Zheng, M. Jamal Deen, Hao Peng

Bibliographic record

VenueECS Meeting Abstracts · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Semiconductor Detectors and Materials
Canadian institutionsMcMaster University
Fundersnot available
KeywordsScintillatorDetectorScintillationPhotomultiplierPhysicsCadmium zinc tellurideOpticsPhotonAnodeImage resolutionOptoelectronicsElectrode

Abstract

fetched live from OpenAlex

Positron emission tomography (PET) is a non-invasive, in-vivo, imaging technology that plays a critical role in cancer detection, as well as in molecular and cellular imaging. For PET imaging, and attractive alternative to a scintillator and photomultiplier assembly (PMT) is the Cadmium Zinc Telluride (CZT) detector. Th CZT and other detectors have recently attracted extensive research interests in the development of novel PET imaging systems [1, 2]. The benefits of CZT include relatively high atomic number, density, large band-gap energy, high spatial resolution through fine electrodes, and superior energy resolution for 511 keV photons due to direct charge carrier generation/collection rather than indirect process of scintillation photon emission as in the scintillator and PMT module. In addition, it has shown great promises to be used as a 3D positioning detector by incorporating depth-of-interaction (DOI) resolution of CZT, which can help mitigate parallax error in PET systems. In this work, we developed an analytical model to study the charge collection and temporal behavior, which is expected to assist to optimize a number of design parameters including anode/cathode electrode pitch, steering electrode pitch and voltage bias. Two common electrode configurations (pixilated and cross strip) for CZT detectors are shown in Fig. 1. When a 511 keV gamma ray hits the detector, a number of electron-holes are generated and travel within the internal electric field E. As stated by Shockley–Ramo theorem [3], the induced charge q(t) builds up as the electron-hole pairs moves from position r 1 to r 2 , which can be written as q(t)=q 0 (Φ ω (r 2 )-Φω(r 1 )),where q 0 is the elementary charge of electron, Φ ω is the weighting potential. To model the temporal dependency that impacts the time resolution, the drift time t e,h of Δx distance is t e,h = Δx/μ e,h E, where μ e,h are charge carries mobility. For validation, we assemble two CZT detectors (Redlen, Canada) as shown in Fig. 1. For the cross-strip one, the cathodes orient orthogonally to the anodes, to provide spatial information in two dimensions. The detectors were biased at 400 V. After preamplifier and shaping amplifier circuits, the outputs were connected to a high-speed free running ADC (CAEN, sampling rate 500MS/s, dynamic range 1V) to measure energy spectrum. The simulations and experimental results are illustrated in Fig. 2. The weighing potential has a pattern as shown in Fig. 2c, which is low near the cathode and rises rapidly when close to the anode. Such pattern is associated with the small pixel effect and single polarity sensing techniques, which affects both charge collection and temporal response of CZT detectors, as the function of different a/L ratio (pixel size to detector thickness). As a/L ratio decreases, the weighting potential shows a more abrupt change towards the anode region, which implies that the incomplete charge collection can be mitigated [4]. The normalized charge collection, q(t)/q 0 , as a function of normalized time t/T h (T h is the maximum hole transit time through detector thickness L) for three heights is shown in Fig. 2d, where the sharp rising presents the electrons’ motion, and the flat trend presents the holes’ motion. A 1 point has the best charge collection effective and the rising time is about 0.12T h ; Points A 2 and A 3 are farther away from cathode due to poor hole mobility, so a longer collect time are needed (0.68T h and 0.82T h respectively), which means for CZT non-uniform responses are occurred in different depths, which can be used to obtain DOI information. While, for cross section of CZT (A 2 , B 2 , C 2 ), the charge signal are more uniform as shown in Fig. 2e. The energy resolution is ~2.98±0.26% FWHM for 511 keV as shown in Fig. 2f, which is superior compared the typical value of 15-20% of a scintillation and PMT model. This result is based on a collimated beam of 511 keV gamma ray irradiating the whole pixel entering from the cathode side (i.e., interaction at all heights are included). In our future work, we will translate the beam along the Z direction to validate the detector performances again the analytical modeling. Reference [1] Hao Peng and Craig S Levin. “Design study of a high-resolution breast-dedicated PET system built system built from cadmium zinc telluride detectors”, Phys. Med. Biol ., 55 , pp. 2761-2788, 2010. [2] D Palubiak, MM El-Desouki, O Marinov, MJ Deen, Q Fang, “High-speed, single-photon avalanche-photodiode imager for biomedical applications”, IEEE Sensors Journal , 11 , pp. 2401-2412, 2011. [3] S. Ramo, “Currents Induced by Electron Motion” Proc. IRE. 27 , pp. 584-585, 1939. [4] Barrett, H.H. et al., “Charge Transport in Arrays of Semiconductor Gamma-Ray Detectors”, Phys. Rev. Lett , pp. 156-159, 1995

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.217
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes2
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