Literature DB >> 31059394

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

Shuai Leng1, Michael Bruesewitz1, Shengzhen Tao1, Kishore Rajendran1, Ahmed F Halaweish1, Norbert G Campeau1, Joel G Fletcher1, Cynthia H McCollough1.   

Abstract

Photon-counting detector (PCD) CT is an emerging technology that has shown tremendous progress in the last decade. Various types of PCD CT systems have been developed to investigate the benefits of this technology, which include reduced electronic noise, increased contrast-to-noise ratio with iodinated contrast material and radiation dose efficiency, reduced beam-hardening and metal artifacts, extremely high spatial resolution (33 line pairs per centimeter), simultaneous multienergy data acquisition, and the ability to image with and differentiate among multiple CT contrast agents. PCD technology is described and compared with conventional CT detector technology. With the use of a whole-body research PCD CT system as an example, PCD technology and its use for in vivo high-spatial-resolution multienergy CT imaging is discussed. The potential clinical applications, diagnostic benefits, and challenges associated with this technology are then discussed, and examples with phantom, animal, and patient studies are provided. ©RSNA, 2019.

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Year:  2019        PMID: 31059394      PMCID: PMC6542627          DOI: 10.1148/rg.2019180115

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  58 in total

1.  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

2.  Novel ultrahigh resolution data acquisition and image reconstruction for multi-detector row CT.

Authors:  T G Flohr; K Stierstorfer; C Süss; B Schmidt; A N Primak; C H McCollough
Journal:  Med Phys       Date:  2007-05       Impact factor: 4.071

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.  Joint Statistical Iterative Material Image Reconstruction for Spectral Computed Tomography Using a Semi-Empirical Forward Model.

Authors:  Korbinian Mechlem; Sebastian Ehn; Thorsten Sellerer; Eva Braig; Daniela Munzel; Franz Pfeiffer; Peter B Noel
Journal:  IEEE Trans Med Imaging       Date:  2017-07-13       Impact factor: 10.048

5.  Performance of a Medipix3RX spectroscopic pixel detector with a high resistivity gallium arsenide sensor.

Authors:  Elias Hamann; Thomas Koenig; Marcus Zuber; Angelica Cecilia; Anton Tyazhev; Oleg Tolbanov; Simon Procz; Alex Fauler; Tilo Baumbach; Michael Fiederle
Journal:  IEEE Trans Med Imaging       Date:  2014-04-14       Impact factor: 10.048

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.  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

8.  Multi-material decomposition using statistical image reconstruction for spectral CT.

Authors:  Yong Long; Jeffrey A Fessler
Journal:  IEEE Trans Med Imaging       Date:  2014-04-25       Impact factor: 10.048

9.  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

10.  Computed Tomography Imaging of Solid Tumors Using a Liposomal-Iodine Contrast Agent in Companion Dogs with Naturally Occurring Cancer.

Authors:  Ketan B Ghaghada; Amy F Sato; Zbigniew A Starosolski; John Berg; David M Vail
Journal:  PLoS One       Date:  2016-03-31       Impact factor: 3.240

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  43 in total

1.  Simultaneous dual-contrast imaging using energy-integrating detector multi-energy CT: An in vivo feasibility study.

Authors:  Zhongxing Zhou; Liqiang Ren; Kishore Rajendran; Felix E Diehn; Joel G Fletcher; Cynthia H McCollough; Lifeng Yu
Journal:  Med Phys       Date:  2022-01-27       Impact factor: 4.071

2.  First Clinical Photon-counting Detector CT System: Technical Evaluation.

Authors:  Kishore Rajendran; Martin Petersilka; André Henning; Elisabeth R Shanblatt; Bernhard Schmidt; Thomas G Flohr; Andrea Ferrero; Francis Baffour; Felix E Diehn; Lifeng Yu; Prabhakar Rajiah; Joel G Fletcher; Shuai Leng; Cynthia H McCollough
Journal:  Radiology       Date:  2021-12-14       Impact factor: 11.105

3.  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

4.  Quantitative assessment of motion effects in dual-source dual-energy CT and dual-source photon-counting detector CT.

Authors:  Zaki Ahmed; Kishore Rajendran; Hao Gong; Cynthia McCollough; Shuai Leng
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

5.  Significance of the spectral correction of photon counting detector response in material classification from spectral x-ray CT.

Authors:  Doniyor Jumanazarov; Jakeoung Koo; Henning F Poulsen; Ulrik L Olsen; Mihai Iovea
Journal:  J Med Imaging (Bellingham)       Date:  2022-06-30

6.  Dedicated convolutional neural network for noise reduction in ultra-high-resolution photon-counting detector computed tomography.

Authors:  Nathan R Huber; Andrea Ferrero; Kishore Rajendran; Francis Baffour; Katrina N Glazebrook; Felix E Diehn; Akitoshi Inoue; Joel G Fletcher; Lifeng Yu; Shuai Leng; Cynthia H McCollough
Journal:  Phys Med Biol       Date:  2022-09-02       Impact factor: 4.174

7.  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

8.  Deep-learning-based direct synthesis of low-energy virtual monoenergetic images with multi-energy CT.

Authors:  Hao Gong; Jeffrey F Marsh; Karen N D'Souza; Nathan R Huber; Kishore Rajendran; Joel G Fletcher; Cynthia H McCollough; Shuai Leng
Journal:  J Med Imaging (Bellingham)       Date:  2021-04-19

9.  Reproducibility of coronary artery calcium quantification on dual-source CT and dual-source photon-counting CT: a dynamic phantom study.

Authors:  Niels R van der Werf; Ronald Booij; Marcel J W Greuter; Daniel Bos; A van der Lugt; R P J Budde; Marcel van Straten
Journal:  Int J Cardiovasc Imaging       Date:  2022-02-03       Impact factor: 2.357

10.  Quantitative Knee Arthrography in a Large Animal Model of Osteoarthritis Using Photon-Counting Detector CT.

Authors:  Kishore Rajendran; Naveen S Murthy; Matthew A Frick; Shengzhen Tao; Mark D Unger; Katherine T LaVallee; Nicholas B Larson; Shuai Leng; Timothy P Maus; Cynthia H McCollough
Journal:  Invest Radiol       Date:  2020-06       Impact factor: 10.065

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