Literature DB >> 25186390

Characteristic performance evaluation of a photon counting Si strip detector for low dose spectral breast CT imaging.

Hyo-Min Cho1, William C Barber2, Huanjun Ding1, Jan S Iwanczyk2, Sabee Molloi1.   

Abstract

PURPOSE: The possible clinical applications which can be performed using a newly developed detector depend on the detector's characteristic performance in a number of metrics including the dynamic range, resolution, uniformity, and stability. The authors have evaluated a prototype energy resolved fast photon counting x-ray detector based on a silicon (Si) strip sensor used in an edge-on geometry with an application specific integrated circuit to record the number of x-rays and their energies at high flux and fast frame rates. The investigated detector was integrated with a dedicated breast spectral computed tomography (CT) system to make use of the detector's high spatial and energy resolution and low noise performance under conditions suitable for clinical breast imaging. The aim of this article is to investigate the intrinsic characteristics of the detector, in terms of maximum output count rate, spatial and energy resolution, and noise performance of the imaging system.
METHODS: The maximum output count rate was obtained with a 50 W x-ray tube with a maximum continuous output of 50 kVp at 1.0 mA. A109Cd source, with a characteristic x-ray peak at 22 keV from Ag, was used to measure the energy resolution of the detector. The axial plane modulation transfer function (MTF) was measured using a 67 μm diameter tungsten wire. The two-dimensional (2D) noise power spectrum (NPS) was measured using flat field images and noise equivalent quanta (NEQ) were calculated using the MTF and NPS results. The image quality parameters were studied as a function of various radiation doses and reconstruction filters. The one-dimensional (1D) NPS was used to investigate the effect of electronic noise elimination by varying the minimum energy threshold.
RESULTS: A maximum output count rate of 100 million counts per second per square millimeter (cps/mm2) has been obtained (1 million cps per 100×100 μm pixel). The electrical noise floor was less than 4 keV. The energy resolution measured with the 22 keV photons from a 109Cd source was less than 9%. A reduction of image noise was shown in all the spatial frequencies in 1D NPS as a result of the elimination of the electronic noise. The spatial resolution was measured just above 5 line pairs per mm (lp/mm) where 10% of MTF corresponded to 5.4 mm(-1). The 2D NPS and NEQ shows a low noise floor and a linear dependence on dose. The reconstruction filter choice affected both of the MTF and NPS results, but had a weak effect on the NEQ.
CONCLUSIONS: The prototype energy resolved photon counting Si strip detector can offer superior imaging performance for dedicated breast CT as compared to a conventional energy-integrating detector due to its high output count rate, high spatial and energy resolution, and low noise characteristics, which are essential characteristics for spectral breast CT imaging.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25186390      PMCID: PMC4137870          DOI: 10.1118/1.4892174

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  30 in total

1.  CT energy weighting in the presence of scatter and limited energy resolution.

Authors:  Taly Gilat Schmidt
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

2.  Photon-counting spectral computed tomography using silicon strip detectors: a feasibility study.

Authors:  Hans Bornefalk; Mats Danielsson
Journal:  Phys Med Biol       Date:  2010-03-19       Impact factor: 3.609

3.  K-edge imaging in x-ray computed tomography using multi-bin photon counting detectors.

Authors:  E Roessl; R Proksa
Journal:  Phys Med Biol       Date:  2007-07-17       Impact factor: 3.609

4.  Computed tomography with energy-resolved detection: a feasibility study.

Authors:  Polad M Shikhaliev
Journal:  Phys Med Biol       Date:  2008-02-19       Impact factor: 3.609

5.  Spectral optimization for dedicated breast CT.

Authors:  Michaela Weigel; Sabrina V Vollmar; Willi A Kalender
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

6.  To bin or not to bin? The effect of CT system limiting resolution on noise and detectability.

Authors:  Jongduk Baek; Angel R Pineda; Norbert J Pelc
Journal:  Phys Med Biol       Date:  2013-02-11       Impact factor: 3.609

7.  Photon counting spectral CT versus conventional CT: comparative evaluation for breast imaging application.

Authors:  Polad M Shikhaliev; Shannon G Fritz
Journal:  Phys Med Biol       Date:  2011-03-02       Impact factor: 3.609

8.  Breast MRI screening of women with a personal history of breast cancer.

Authors:  Sandra Brennan; Laura Liberman; D David Dershaw; Elizabeth Morris
Journal:  AJR Am J Roentgenol       Date:  2010-08       Impact factor: 3.959

9.  Photon Counting Energy Dispersive Detector Arrays for X-ray Imaging.

Authors:  Jan S Iwanczyk; Einar Nygård; Oded Meirav; Jerry Arenson; William C Barber; Neal E Hartsough; Nail Malakhov; Jan C Wessel
Journal:  IEEE Trans Nucl Sci       Date:  2009       Impact factor: 1.679

10.  The effects of photon flux on energy spectra and imaging characteristics in a photon-counting x-ray detector.

Authors:  H-M Cho; H-J Kim; Y-N Choi; S-W Lee; H-J Ryu; Y-J Lee
Journal:  Phys Med Biol       Date:  2013-06-21       Impact factor: 3.609

View more
  7 in total

1.  A high-resolution photon-counting breast CT system with tensor-framelet based iterative image reconstruction for radiation dose reduction.

Authors:  Huanjun Ding; Hao Gao; Bo Zhao; Hyo-Min Cho; Sabee Molloi
Journal:  Phys Med Biol       Date:  2014-09-17       Impact factor: 3.609

2.  Microcalcification detectability using a bench-top prototype photon-counting breast CT based on a Si strip detector.

Authors:  Hyo-Min Cho; Huanjun Ding; William C Barber; Jan S Iwanczyk; Sabee Molloi
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

3.  Quantification of breast lesion compositions using low-dose spectral mammography: A feasibility study.

Authors:  Huanjun Ding; David Sennung; Hyo-Min Cho; Sabee Molloi
Journal:  Med Phys       Date:  2016-10       Impact factor: 4.071

4.  Characterization of energy response for photon-counting detectors using x-ray fluorescence.

Authors:  Huanjun Ding; Hyo-Min Cho; William C Barber; Jan S Iwanczyk; Sabee Molloi
Journal:  Med Phys       Date:  2014-12       Impact factor: 4.071

5.  Ultra-Low-Dose Spectral CT Based on a Multi-level Wavelet Convolutional Neural Network.

Authors:  Minjae Lee; Hyemi Kim; Hyo-Min Cho; Hee-Joung Kim
Journal:  J Digit Imaging       Date:  2021-09-29       Impact factor: 4.056

Review 6.  Tutorial on X-ray photon counting detector characterization.

Authors:  Liqiang Ren; Bin Zheng; Hong Liu
Journal:  J Xray Sci Technol       Date:  2018       Impact factor: 1.535

7.  Comparison of three undersampling approaches in computed tomography reconstruction.

Authors:  Chenyang Shen; Yifei Lou; Liyuan Chen; Tieyong Zeng; Michael K Ng; Lei Zhu; Xun Jia
Journal:  Quant Imaging Med Surg       Date:  2019-07
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.