Literature DB >> 26835839

Evaluation of conventional imaging performance in a research whole-body CT system with a photon-counting detector array.

Zhicong Yu1, Shuai Leng, Steven M Jorgensen, Zhoubo Li, Ralf Gutjahr, Baiyu Chen, Ahmed F Halaweish, Steffen Kappler, Lifeng Yu, Erik L Ritman, Cynthia H McCollough.   

Abstract

This study evaluated the conventional imaging performance of a research whole-body photon-counting CT system and investigated its feasibility for imaging using clinically realistic levels of x-ray photon flux. This research system was built on the platform of a 2nd generation dual-source CT system: one source coupled to an energy integrating detector (EID) and the other coupled to a photon-counting detector (PCD). Phantom studies were conducted to measure CT number accuracy and uniformity for water, CT number energy dependency for high-Z materials, spatial resolution, noise, and contrast-to-noise ratio. The results from the EID and PCD subsystems were compared. The impact of high photon flux, such as pulse pile-up, was assessed by studying the noise-to-tube-current relationship using a neonate water phantom and high x-ray photon flux. Finally, clinical feasibility of the PCD subsystem was investigated using anthropomorphic phantoms, a cadaveric head, and a whole-body cadaver, which were scanned at dose levels equivalent to or higher than those used clinically. Phantom measurements demonstrated that the PCD subsystem provided comparable image quality to the EID subsystem, except that the PCD subsystem provided slightly better longitudinal spatial resolution and about 25% improvement in contrast-to-noise ratio for iodine. The impact of high photon flux was found to be negligible for the PCD subsystem: only subtle high-flux effects were noticed for tube currents higher than 300 mA in images of the neonate water phantom. Results of the anthropomorphic phantom and cadaver scans demonstrated comparable image quality between the EID and PCD subsystems. There were no noticeable ring, streaking, or cupping/capping artifacts in the PCD images. In addition, the PCD subsystem provided spectral information. Our experiments demonstrated that the research whole-body photon-counting CT system is capable of providing clinical image quality at clinically realistic levels of x-ray photon flux.

Entities:  

Mesh:

Year:  2016        PMID: 26835839      PMCID: PMC4782185          DOI: 10.1088/0031-9155/61/4/1572

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


  28 in total

1.  Photon counting spectral CT: improved material decomposition with K-edge-filtered x-rays.

Authors:  Polad M Shikhaliev
Journal:  Phys Med Biol       Date:  2012-03-07       Impact factor: 3.609

2.  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

3.  Experimental feasibility of multi-energy photon-counting K-edge imaging in pre-clinical computed tomography.

Authors:  J P Schlomka; E Roessl; R Dorscheid; S Dill; G Martens; T Istel; C Bäumer; C Herrmann; R Steadman; G Zeitler; A Livne; R Proksa
Journal:  Phys Med Biol       Date:  2008-07-08       Impact factor: 3.609

4.  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

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.  Photon counting spectral breast CT: effect of adaptive filtration on CT numbers, noise, and contrast to noise ratio.

Authors:  Justin D Silkwood; Kenneth L Matthews; Polad M Shikhaliev
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

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.  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.  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

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

View more
  83 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.  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.  Photon counting performance of amorphous selenium and its dependence on detector structure.

Authors:  Jann Stavro; Amir H Goldan; Wei Zhao
Journal:  J Med Imaging (Bellingham)       Date:  2018-10-30

4.  Impact of prior information on material decomposition in dual- and multienergy computed tomography.

Authors:  Liqiang Ren; Shengzhen Tao; Kishore Rajendran; Cynthia H McCollough; Lifeng Yu
Journal:  J Med Imaging (Bellingham)       Date:  2019-03-14

Review 5.  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

6.  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

7.  Ultra-High Resolution Photon-Counting Detector CT Reconstruction using Spectral Prior Image Constrained Compressed-Sensing (UHR-SPICCS).

Authors:  Kishore Rajendran; Shengzhen Tao; Dilbar Abdurakhimova; Shuai Leng; Cynthia McCollough
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03

8.  Impact of Photon Counting Detector Technology on kV Selection and Diagnostic Workflow in CT.

Authors:  Wei Zhou; Dilbar Abdurakhimova; Michael Bruesewitz; Ahmed Halaweish; Cynthia H McCollough; Shuai Leng
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03

9.  Targeted Imaging of Renal Fibrosis Using Antibody-Conjugated Gold Nanoparticles in Renal Artery Stenosis.

Authors:  Xiang-Yang Zhu; Xiangyu Zou; Rahul Mukherjee; Zhicong Yu; Christopher M Ferguson; Wei Zhou; Cynthia H McCollough; Lilach O Lerman
Journal:  Invest Radiol       Date:  2018-10       Impact factor: 6.016

Review 10.  Opportunities for new CT contrast agents to maximize the diagnostic potential of emerging spectral CT technologies.

Authors:  Benjamin M Yeh; Paul F FitzGerald; Peter M Edic; Jack W Lambert; Robert E Colborn; Michael E Marino; Paul M Evans; Jeannette C Roberts; Zhen J Wang; Margaret J Wong; Peter J Bonitatibus
Journal:  Adv Drug Deliv Rev       Date:  2016-09-09       Impact factor: 15.470

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.