Literature DB >> 28726669

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

Shuai Leng1, Wei Zhou, Zhicong Yu, Ahmed Halaweish, Bernhard Krauss, Bernhard Schmidt, Lifeng Yu, Steffen Kappler, Cynthia McCollough.   

Abstract

Photon-counting computed tomography (PCCT) uses a photon counting detector to count individual photons and allocate them to specific energy bins by comparing photon energy to preset thresholds. This enables simultaneous multi-energy CT with a single source and detector. Phantom studies were performed to assess the spectral performance of a research PCCT scanner by assessing the accuracy of derived images sets. Specifically, we assessed the accuracy of iodine quantification in iodine map images and of CT number accuracy in virtual monoenergetic images (VMI). Vials containing iodine with five known concentrations were scanned on the PCCT scanner after being placed in phantoms representing the attenuation of different size patients. For comparison, the same vials and phantoms were also scanned on 2nd and 3rd generation dual-source, dual-energy scanners. After material decomposition, iodine maps were generated, from which iodine concentration was measured for each vial and phantom size and compared with the known concentration. Additionally, VMIs were generated and CT number accuracy was compared to the reference standard, which was calculated based on known iodine concentration and attenuation coefficients at each keV obtained from the U.S. National Institute of Standards and Technology (NIST). Results showed accurate iodine quantification (root mean square error of 0.5 mgI/cc) and accurate CT number of VMIs (percentage error of 8.9%) using the PCCT scanner. The overall performance of the PCCT scanner, in terms of iodine quantification and VMI CT number accuracy, was comparable to that of EID-based dual-source, dual-energy scanners.

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Year:  2017        PMID: 28726669      PMCID: PMC5565680          DOI: 10.1088/1361-6560/aa8103

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


  40 in total

1.  Iodine quantification with dual-energy CT: phantom study and preliminary experience with VX2 residual tumour in rabbits after radiofrequency ablation.

Authors:  Y Li; G Shi; S Wang; S Wang; R Wu
Journal:  Br J Radiol       Date:  2013-07-24       Impact factor: 3.039

2.  Hybrid spectral micro-CT: system design, implementation, and preliminary results.

Authors:  James R Bennett; Alex M T Opie; Qiong Xu; Hengyong Yu; Michael Walsh; Anthony Butler; Phillip Butler; Guohua Cao; Aaron Mohs; Ge Wang
Journal:  IEEE Trans Biomed Eng       Date:  2014-02       Impact factor: 4.538

3.  Coronary stent patency: dual-energy multidetector CT assessment in a pilot study with anthropomorphic phantom.

Authors:  Daniel T Boll; Elmar M Merkle; Erik K Paulson; Thorsten R Fleiter
Journal:  Radiology       Date:  2008-04-18       Impact factor: 11.105

4.  Objective characterization of GE discovery CT750 HD scanner: gemstone spectral imaging mode.

Authors:  Da Zhang; Xinhua Li; Bob Liu
Journal:  Med Phys       Date:  2011-03       Impact factor: 4.071

5.  Performance of today's dual energy CT and future multi energy CT in virtual non-contrast imaging and in iodine quantification: A simulation study.

Authors:  Sebastian Faby; Stefan Kuchenbecker; Stefan Sawall; David Simons; Heinz-Peter Schlemmer; Michael Lell; Marc Kachelrieß
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

6.  Maximizing Iodine Contrast-to-Noise Ratios in Abdominal CT Imaging through Use of Energy Domain Noise Reduction and Virtual Monoenergetic Dual-Energy CT.

Authors:  Shuai Leng; Lifeng Yu; Joel G Fletcher; Cynthia H McCollough
Journal:  Radiology       Date:  2015-04-10       Impact factor: 11.105

7.  Virtual monochromatic spectral imaging with fast kilovoltage switching: improved image quality as compared with that obtained with conventional 120-kVp CT.

Authors:  Kazuhiro Matsumoto; Masahiro Jinzaki; Yutaka Tanami; Akihisa Ueno; Minoru Yamada; Sachio Kuribayashi
Journal:  Radiology       Date:  2011-02-17       Impact factor: 11.105

8.  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

9.  Image-based Material Decomposition with a General Volume Constraint for Photon-Counting CT.

Authors:  Zhoubo Li; Shuai Leng; Lifeng Yu; Zhicong Yu; Cynthia H McCollough
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015

Review 10.  Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications.

Authors:  Cynthia H McCollough; Shuai Leng; Lifeng Yu; Joel G Fletcher
Journal:  Radiology       Date:  2015-09       Impact factor: 11.105

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  27 in total

1.  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

Review 2.  Photon-counting Detector CT: System Design and Clinical Applications of an Emerging Technology.

Authors:  Shuai Leng; Michael Bruesewitz; Shengzhen Tao; Kishore Rajendran; Ahmed F Halaweish; Norbert G Campeau; Joel G Fletcher; Cynthia H McCollough
Journal:  Radiographics       Date:  2019 May-Jun       Impact factor: 5.333

Review 3.  Image guidance in proton therapy for lung cancer.

Authors:  Miao Zhang; Wei Zou; Boon-Keng Kevin Teo
Journal:  Transl Lung Cancer Res       Date:  2018-04

4.  Dual Energy Differential Phase Contrast CT (DE-DPC-CT) Imaging.

Authors:  Xu Ji; Ran Zhang; Ke Li; Guang-Hong Chen
Journal:  IEEE Trans Med Imaging       Date:  2020-10-28       Impact factor: 10.048

5.  Photon-Counting Computed Tomography for Vascular Imaging of the Head and Neck: First In Vivo Human Results.

Authors:  Rolf Symons; Daniel S Reich; Mohammadhadi Bagheri; Tyler E Cork; Bernhard Krauss; Stefan Ulzheimer; Steffen Kappler; David A Bluemke; Amir Pourmorteza
Journal:  Invest Radiol       Date:  2018-03       Impact factor: 6.016

6.  Development of a scanner-specific simulation framework for photon-counting computed tomography.

Authors:  Ehsan Abadi; Brian Harrawood; Jayasai R Rajagopal; Shobhit Sharma; Anuj Kapadia; William Paul Segars; Karl Stierstorfer; Martin Sedlmair; Elizabeth Jones; Ehsan Samei
Journal:  Biomed Phys Eng Express       Date:  2019-08-09

7.  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

8.  Determination of Optimal Image Type and Lowest Detectable Concentration for Iodine Detection on a Photon Counting Detector-Based Multi-Energy CT System.

Authors:  Wei Zhou; Rachel Schornak; Gregory Michalak; Jayse Weaver; Dilbar Abdurakhimova; Andrea Ferrero; Kenneth A Fetterly; Cynthia H McCollough; Shuai Leng
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03

9.  Deep-learning-based direct inversion for material decomposition.

Authors:  Hao Gong; Shengzhen Tao; Kishore Rajendran; Wei Zhou; Cynthia H McCollough; Shuai Leng
Journal:  Med Phys       Date:  2020-10-30       Impact factor: 4.071

10.  Phase Contrast CT Enabled Three-Material Decomposition in Spectral CT Imaging.

Authors:  Xu Ji; Ran Zhang; Ke Li; Guang-Hong Chen
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2020-03-16
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