Detective quantum efficiency of photon-counting CdTe and Si detectors for computed tomography: a simulation study

被引:39
作者
Persson, Mats [1 ,2 ,4 ]
Wang, Adam [2 ]
Pelc, Norbert J. [1 ,2 ,3 ]
机构
[1] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Radiol, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
[4] KTH Royal Inst Technol, Stockholm, Sweden
关键词
x-ray computed tomography; photon-counting; silicon detector; cadmium telluride detector; detective quantum efficiency; performance comparison; SILICON-STRIP DETECTOR; DUAL-ENERGY CT; SPECTRAL CT; IMAGE-QUALITY; QUANTIFICATION; RESOLUTION; SYSTEM; NOISE; MODEL; PERFORMANCE;
D O I
10.1117/1.JMI.7.4.043501
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: Developing photon-counting CT detectors requires understanding the impact of parameters, such as converter material, thickness, and pixel size. We apply a linear-systems framework, incorporating spatial and energy resolution, to study realistic silicon (Si) and cadmium telluride (CdTe) detectors at a low count rate. Approach: We compared CdTe detector designs with 0.5 x 0.5 mm(2) and 0.225 x 0.225 mm(2) pixels and Si detector designs with 0.5 x 0.5 mm(2) pixels of 30 and 60 mm active thickness, with and without tungsten scatter blockers. Monte-Carlo simulations of photon transport were used together with Gaussian charge sharing models fitted to published data. Results: For detection in a 300-mm-thick object at 120 kVp, the 0.5- and 0.225-mm pixel CdTe systems have 28% to 41% and 5% to 29% higher detective quantum efficiency (DQE), respectively, than the 60-mm Si system with tungsten, whereas the corresponding numbers for two-material decomposition are 2% lower to 11% higher DQE and 31% to 54% lower DQE compared to Si. We also show that combining these detectors with dual-spectrum acquisition is beneficial. Conclusions: In the low-count-rate regime, CdTe detector systems outperform the Si systems for detection tasks, whereas silicon outperforms one or both of the CdTe systems for material decomposition. (C) 2020 Society of Photo-Optical Instrumentation Engineers (SPIE)
引用
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页数:28
相关论文
共 60 条
[1]   A comparative analysis of OTF, NPS, and DQE in energy integrating and photon counting digital x-ray detectors [J].
Acciavatti, Raymond J. ;
Maidment, Andrew D. A. .
MEDICAL PHYSICS, 2010, 37 (12) :6480-6495
[2]  
Aichinger H., 2012, RAD EXPOSURE IMAGE Q
[3]   ENERGY-SELECTIVE RECONSTRUCTIONS IN X-RAY COMPUTERIZED TOMOGRAPHY [J].
ALVAREZ, RE ;
MACOVSKI, A .
PHYSICS IN MEDICINE AND BIOLOGY, 1976, 21 (05) :733-744
[4]  
[Anonymous], 2009, XCOM: Photon Cross Sections Database. NIST Standard Reference Database 8
[5]   To bin or not to bin? The effect of CT system limiting resolution on noise and detectability [J].
Baek, Jongduk ;
Pineda, Angel R. ;
Pelc, Norbert J. .
PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (05) :1433-1446
[6]   Optimizing CdTe detectors and ASIC readouts for high-flux x-ray imaging [J].
Barber, William C. ;
Nygard, Einar ;
Wessel, Jan C. ;
Malakhov, Nail ;
Hartsough, Neal E. ;
Gandhi, Thulasi ;
Wawrzyniak, Gregor ;
Iwanczyk, Jan S. .
MEDICAL APPLICATIONS OF RADIATION DETECTORS, 2011, 8143
[7]   Allowable Forward Model Misspecification for Accurate Basis Decomposition in a Silicon Detector Based Spectral CT [J].
Bornefalk, Hans ;
Persson, Mats ;
Danielsson, Mats .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2015, 34 (03) :788-795
[8]   Photon-counting spectral computed tomography using silicon strip detectors: a feasibility study [J].
Bornefalk, Hans ;
Danielsson, Mats .
PHYSICS IN MEDICINE AND BIOLOGY, 2010, 55 (07) :1999-2022
[9]   Detective quantum efficiency dependence on x-ray energy weighting in mammography [J].
Cahn, RN ;
Cederström, B ;
Danielsson, M ;
Hall, A ;
Lundqvist, M ;
Nygren, D .
MEDICAL PHYSICS, 1999, 26 (12) :2680-2683
[10]   Evaluation of models of spectral distortions in photon-counting detectors for computed tomography [J].
Cammin, Jochen ;
Kappler, Steffen ;
Weidinger, Thomas ;
Taguchi, Katsuyuki .
JOURNAL OF MEDICAL IMAGING, 2016, 3 (02)