Literature DB >> 31018197

Dual-source photon counting detector CT with a tin filter: a phantom study on iodine quantification performance.

Ashley Tao1, Richard Huang, Shengzhen Tao, Gregory J Michalak, Cynthia H McCollough, Shuai Leng.   

Abstract

Photon counting detectors (PCD) can provide spectral information to enable iodine quantification through multi-energy imaging but performance is limited by current PCD technology. The purpose of this work is to evaluate iodine quantification in a phantom study using dual-source PCD-CT (DS-PCD-CT), and compare to single-source (SS)-PCD-CT and traditional DS energy integrating detector (EID)-based dual-energy CT. A multi-energy CT phantom with iodine inserts (0 to 15 mg ml-1 concentration) was imaged on a research SS-PCD-CT scanner (CTDIvol  =  18 mGy). A DS-PCD-CT was emulated by acquiring two sequential scans (CTDIvol  =  9 mGy each) using tube potentials: 140 kVp/80 kVp, 140 kVp/100 kVp and 140 kVp/120 kVp. For each kVp, 1 or 2 energy bins were reconstructed to achieve either dual-energy or quadruple energy CT. In addition to these energy combinations, a Sn filter was used for the high tube potential (140 kVp) of each kVp pair. For comparison, the same phantom was also scanned on a commercially available DS-EID-CT with matched radiation dose (CTDIvol  =  18 mGy). Material decomposition was performed in image space using a standard least-squares based approach to generate iodine and water-specific images. The root-mean-square-error (RMSE) measured over each insert from the iodine image was used to determine iodine accuracy. The iodine RMSE from SS-PCD (140 kVp with 2 energy bins) was 2.72 mg ml-1. The use of a DS configuration with 1 energy bin per kVp (140 kVp/80 kVp) resulted in a RMSE of 2.29 mg ml-1. Two energy bins per kVp further reduced iodine RMSE to 1.83 mg ml-1. The addition of a Sn filter to the latter quadruple energy mode reduced RMSE to 1.48 mg ml-1. RMSE for DS-PCD-CT (2 energy bins per kVp) decreased by 1.3% (Sn140 kVp/80 kVp) and 15% (Sn140 kVp/100 kVp) as compared to DS-EID-CT. DS-PCD-CT with a Sn filter improved iodine quantification as compared to both SS-PCD-CT and DS-EID-CT.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31018197      PMCID: PMC6598702          DOI: 10.1088/1361-6560/ab1c34

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  25 in total

1.  First performance evaluation of a dual-source CT (DSCT) system.

Authors:  Thomas G Flohr; Cynthia H McCollough; Herbert Bruder; Martin Petersilka; Klaus Gruber; Christoph Süss; Michael Grasruck; Karl Stierstorfer; Bernhard Krauss; Rainer Raupach; Andrew N Primak; Axel Küttner; Stefan Achenbach; Christoph Becker; Andreas Kopp; Bernd M Ohnesorge
Journal:  Eur Radiol       Date:  2005-12-10       Impact factor: 5.315

2.  Reduction of Metal Artifacts and Improvement in Dose Efficiency Using Photon-Counting Detector Computed Tomography and Tin Filtration.

Authors:  Wei Zhou; David J Bartlett; Felix E Diehn; Katrina N Glazebrook; Amy L Kotsenas; Rickey E Carter; Joel G Fletcher; Cynthia H McCollough; Shuai Leng
Journal:  Invest Radiol       Date:  2019-04       Impact factor: 6.016

3.  150-μm Spatial Resolution Using Photon-Counting Detector Computed Tomography Technology: Technical Performance and First Patient Images.

Authors:  Shuai Leng; Kishore Rajendran; Hao Gong; Wei Zhou; Ahmed F Halaweish; Andre Henning; Steffen Kappler; Matthias Baer; Joel G Fletcher; Cynthia H McCollough
Journal:  Invest Radiol       Date:  2018-11       Impact factor: 6.016

4.  Image reconstruction for hybrid true-color micro-CT.

Authors:  Qiong Xu; Hengyong Yu; James Bennett; Peng He; Rafidah Zainon; Robert Doesburg; Alex Opie; Mike Walsh; Haiou Shen; Anthony Butler; Phillip Butler; Xuanqin Mou; Ge Wang
Journal:  IEEE Trans Biomed Eng       Date:  2012-04-03       Impact factor: 4.538

5.  Spectral performance of a whole-body research photon counting detector CT: quantitative accuracy in derived image sets.

Authors:  Shuai Leng; Wei Zhou; Zhicong Yu; Ahmed Halaweish; Bernhard Krauss; Bernhard Schmidt; Lifeng Yu; Steffen Kappler; Cynthia McCollough
Journal:  Phys Med Biol       Date:  2017-08-21       Impact factor: 3.609

6.  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

7.  Detection and Characterization of Renal Stones by Using Photon-Counting-based CT.

Authors:  Roy P Marcus; Joel G Fletcher; Andrea Ferrero; Shuai Leng; Ahmed F Halaweish; Ralf Gutjahr; Terri J Vrtiska; Mike L Wells; Felicity T Enders; Cynthia H McCollough
Journal:  Radiology       Date:  2018-08-07       Impact factor: 11.105

8.  Human Imaging With Photon Counting-Based Computed Tomography at Clinical Dose Levels: Contrast-to-Noise Ratio and Cadaver Studies.

Authors:  Ralf Gutjahr; Ahmed F Halaweish; Zhicong Yu; Shuai Leng; Lifeng Yu; Zhoubo Li; Steven M Jorgensen; Erik L Ritman; Steffen Kappler; Cynthia H McCollough
Journal:  Invest Radiol       Date:  2016-07       Impact factor: 6.016

9.  Photon-Counting CT of the Brain: In Vivo Human Results and Image-Quality Assessment.

Authors:  A Pourmorteza; R Symons; D S Reich; M Bagheri; T E Cork; S Kappler; S Ulzheimer; D A Bluemke
Journal:  AJNR Am J Neuroradiol       Date:  2017-10-05       Impact factor: 3.825

10.  Experimental feasibility of spectral photon-counting computed tomography with two contrast agents for the detection of endoleaks following endovascular aortic repair.

Authors:  Julia Dangelmaier; Daniel Bar-Ness; Heiner Daerr; Daniela Muenzel; Salim Si-Mohamed; Sebastian Ehn; Alexander A Fingerle; Melanie A Kimm; Felix K Kopp; Loic Boussel; Ewald Roessl; Franz Pfeiffer; Ernst J Rummeny; Roland Proksa; Philippe Douek; Peter B Noël
Journal:  Eur Radiol       Date:  2018-02-19       Impact factor: 5.315

View more
  7 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.  Feasibility of multi-contrast imaging on dual-source photon counting detector (PCD) CT: An initial phantom study.

Authors:  Shengzhen Tao; Kishore Rajendran; Cynthia H McCollough; Shuai Leng
Journal:  Med Phys       Date:  2019-07-05       Impact factor: 4.071

3.  Photon Counting CT: Clinical Applications and Future Developments.

Authors:  Scott S Hsieh; Shuai Leng; Kishore Rajendran; Shengzhen Tao; Cynthia H McCollough
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-08-28

4.  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

Review 5.  An introduction to photon-counting detector CT (PCD CT) for radiologists.

Authors:  Yuko Nakamura; Toru Higaki; Shota Kondo; Ikuo Kawashita; Isao Takahashi; Kazuo Awai
Journal:  Jpn J Radiol       Date:  2022-10-18       Impact factor: 2.701

6.  Reducing contrast dose using virtual monoenergetic imaging for aortic CTA.

Authors:  Ryoichi Yoshida; Keisuke Usui; Yasushi Katsunuma; Hiroshi Honda; Koki Hatakeyama
Journal:  J Appl Clin Med Phys       Date:  2020-07-02       Impact factor: 2.102

7.  Threshold-dependent iodine imaging and spectral separation in a whole-body photon-counting CT system.

Authors:  S Sawall; L Klein; E Wehrse; L T Rotkopf; C Amato; J Maier; H-P Schlemmer; C H Ziener; S Heinze; M Kachelrieß
Journal:  Eur Radiol       Date:  2021-03-13       Impact factor: 5.315

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.