Literature DB >> 26835495

Optimization of beam quality for photon-counting spectral computed tomography in head imaging: simulation study.

Han Chen1, Cheng Xu1, Mats Persson1, Mats Danielsson1.   

Abstract

Head computed tomography (CT) plays an important role in the comprehensive evaluation of acute stroke. Photon-counting spectral detectors, as promising candidates for use in the next generation of x-ray CT systems, allow for assigning more weight to low-energy x-rays that generally contain more contrast information. Most importantly, the spectral information can be utilized to decompose the original set of energy-selective images into several basis function images that are inherently free of beam-hardening artifacts, a potential advantage for further improving the diagnosis accuracy. We are developing a photon-counting spectral detector for CT applications. The purpose of this work is to determine the optimal beam quality for material decomposition in two head imaging cases: nonenhanced imaging and K-edge imaging. A cylindrical brain tissue of 16-cm diameter, coated by a 6-mm-thick bone layer and 2-mm-thick skin layer, was used as a head phantom. The imaging target was a 5-mm-thick blood vessel centered in the head phantom. In K-edge imaging, two contrast agents, iodine and gadolinium, with the same concentration ([Formula: see text]) were studied. Three parameters that affect beam quality were evaluated: kVp settings (50 to 130 kVp), filter materials ([Formula: see text] to 83), and filter thicknesses [0 to 2 half-value layer (HVL)]. The image qualities resulting from the varying x-ray beams were compared in terms of two figures of merit (FOMs): squared signal-difference-to-noise ratio normalized by brain dose ([Formula: see text]) and that normalized by skin dose ([Formula: see text]). For nonenhanced imaging, the results show that the use of the 120-kVp spectrum filtered by 2 HVL copper ([Formula: see text]) provides the best performance in both FOMs. When iodine is used in K-edge imaging, the optimal filter is 2 HVL iodine ([Formula: see text]) and the optimal kVps are 60 kVp in terms of [Formula: see text] and 75 kVp in terms of [Formula: see text]. A tradeoff of 65 kVp was proposed to lower the potential risk of skin injuries if a relatively long exposure time is necessarily performed in the iodinated imaging. In the case of gadolinium imaging, both SD and BD can be minimized at 120 kVp filtered with 2 HVL thulium ([Formula: see text]). The results also indicate that with the same concentration and their respective optimal spectrum, the values of [Formula: see text] and [Formula: see text] in gadolinium imaging are, respectively, around 3 and 10 times larger than those in iodine imaging. However, since gadolinium is used in much lower concentrations than iodine in the clinic, iodine may be a preferable candidate for K-edge imaging.

Entities:  

Keywords:  K-edge imaging; material decomposition; photon counting; spectral computed tomography

Year:  2015        PMID: 26835495      PMCID: PMC4718445          DOI: 10.1117/1.JMI.2.4.043504

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  42 in total

Review 1.  Perfusion CT: a worthwhile enhancement?

Authors:  K A Miles; M R Griffiths
Journal:  Br J Radiol       Date:  2003-04       Impact factor: 3.039

2.  Radiation-induced temporary hair loss as a radiation damage only occurring in patients who had the combination of MDCT and DSA.

Authors:  Yoshimasa Imanishi; Atsushi Fukui; Hiroshi Niimi; Daisuke Itoh; Kyouko Nozaki; Shunsuke Nakaji; Kumiko Ishizuka; Hitoshi Tabata; Yu Furuya; Masahiko Uzura; Hideto Takahama; Suzuo Hashizume; Shiro Arima; Yasuo Nakajima
Journal:  Eur Radiol       Date:  2004-09-04       Impact factor: 5.315

3.  Theoretical comparison of the iodine quantification accuracy of two spectral CT technologies.

Authors:  Hans Bornefalk; Mats Persson
Journal:  IEEE Trans Med Imaging       Date:  2013-11-08       Impact factor: 10.048

4.  Near optimal energy selective x-ray imaging system performance with simple detectors.

Authors:  Robert E Alvarez
Journal:  Med Phys       Date:  2010-02       Impact factor: 4.071

5.  Dose reduction in CT by anatomically adapted tube current modulation. II. Phantom measurements.

Authors:  W A Kalender; H Wolf; C Suess
Journal:  Med Phys       Date:  1999-11       Impact factor: 4.071

6.  SNR and noise measurements for medical imaging: I. A practical approach based on statistical decision theory.

Authors:  M J Tapiovaara; R F Wagner
Journal:  Phys Med Biol       Date:  1993-01       Impact factor: 3.609

7.  Selective iodine imaging using K-edge energies in computerized x-ray tomography.

Authors:  S J Riederer; C A Mistretta
Journal:  Med Phys       Date:  1977 Nov-Dec       Impact factor: 4.071

8.  Human observer detection experiments with mammograms and power-law noise.

Authors:  A E Burgess; F L Jacobson; P F Judy
Journal:  Med Phys       Date:  2001-04       Impact factor: 4.071

9.  Energy-resolved CT imaging with a photon-counting silicon-strip detector.

Authors:  Mats Persson; Ben Huber; Staffan Karlsson; Xuejin Liu; Han Chen; Cheng Xu; Moa Yveborg; Hans Bornefalk; Mats Danielsson
Journal:  Phys Med Biol       Date:  2014-10-20       Impact factor: 3.609

10.  Projection x-ray imaging with photon energy weighting: experimental evaluation with a prototype detector.

Authors:  Polad M Shikhaliev
Journal:  Phys Med Biol       Date:  2009-07-30       Impact factor: 3.609

View more
  5 in total

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

Authors:  Mats Persson; Adam Wang; Norbert J Pelc
Journal:  J Med Imaging (Bellingham)       Date:  2020-07-17

2.  Estimation of signal and noise for a whole-body research photon-counting CT system.

Authors:  Zhoubo Li; Shuai Leng; Zhicong Yu; Steffen Kappler; Cynthia H McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-22

3.  A framework for performance characterization of energy-resolving photon-counting detectors.

Authors:  Mats Persson; Paurakh L Rajbhandary; Norbert J Pelc
Journal:  Med Phys       Date:  2018-10-12       Impact factor: 4.071

4.  Generation and analysis of clinically relevant breast imaging x-ray spectra.

Authors:  Andrew M Hernandez; J Anthony Seibert; Anita Nosratieh; John M Boone
Journal:  Med Phys       Date:  2017-05-04       Impact factor: 4.071

5.  Spectral Photon Counting CT: Imaging Algorithms and Performance Assessment.

Authors:  Adam S Wang; Norbert J Pelc
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-07-07
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.