Literature DB >> 24059402

Electronic noise in CT detectors: Impact on image noise and artifacts.

Xinhui Duan1, Jia Wang, Shuai Leng, Bernhard Schmidt, Thomas Allmendinger, Katharine Grant, Thomas Flohr, Cynthia H McCollough.   

Abstract

OBJECTIVE: The objective of our study was to evaluate in phantoms the differences in CT image noise and artifact level between two types of commercial CT detectors: one with distributed electronics (conventional) and one with integrated electronics intended to decrease system electronic noise.
MATERIALS AND METHODS: Cylindric water phantoms of 20, 30, and 40 cm in diameter were scanned using two CT scanners, one equipped with integrated detector electronics and one with distributed detector electronics. All other scanning parameters were identical. Scans were acquired at four tube potentials and 10 tube currents. Semianthropomorphic phantoms were scanned to mimic the shoulder and abdominal regions. Images of two patients were also selected to show the clinical values of the integrated detector.
RESULTS: Reduction of image noise with the integrated detector depended on phantom size, tube potential, and tube current. Scans that had low detected signal had the greatest reductions in noise, up to 40% for a 30-cm phantom scanned using 80 kV. This noise reduction translated into up to 50% in dose reduction to achieve equivalent image noise. Streak artifacts through regions of high attenuation were reduced by up to 45% on scans obtained using the integrated detector. Patient images also showed superior image quality for the integrated detector.
CONCLUSION: For the same applied radiation level, the use of integrated electronics in a CT detector showed a substantially reduced level of electronic noise, resulting in reductions in image noise and artifacts, compared with detectors having distributed electronics.

Entities:  

Mesh:

Year:  2013        PMID: 24059402     DOI: 10.2214/AJR.12.10234

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  17 in total

1.  Potential of combining iterative reconstruction with noise efficient detector design: aggressive dose reduction in head CT.

Authors:  H Brodoefel; B Bender; C Schabel; M Fenchel; U Ernemann; A Korn
Journal:  Br J Radiol       Date:  2015-04-01       Impact factor: 3.039

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

3.  Noise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scanner.

Authors:  Zhicong Yu; Shuai Leng; Steffen Kappler; Katharina Hahn; Zhoubo Li; Ahmed F Halaweish; Andre Henning; Cynthia H McCollough
Journal:  J Med Imaging (Bellingham)       Date:  2016-12-14

4.  Feasibility of Dose-reduced Chest CT with Photon-counting Detectors: Initial Results in Humans.

Authors:  Rolf Symons; Amir Pourmorteza; Veit Sandfort; Mark A Ahlman; Tracy Cropper; Marissa Mallek; Steffen Kappler; Stefan Ulzheimer; Mahadevappa Mahesh; Elizabeth C Jones; Ashkan A Malayeri; Les R Folio; David A Bluemke
Journal:  Radiology       Date:  2017-07-28       Impact factor: 11.105

5.  Impact of advanced detector technology and iterative reconstruction on low-dose quantitative assessment of lung computed tomography density in a biological lung model.

Authors:  E Hammond; K S Chan; J C Ames; N Stoyles; C M Sloan; J Guo; J D Newell; E A Hoffman; J C Sieren
Journal:  Med Phys       Date:  2018-06-21       Impact factor: 4.071

6.  Interdependencies of acquisition, detection, and reconstruction techniques on the accuracy of iodine quantification in varying patient sizes employing dual-energy CT.

Authors:  Daniele Marin; Jose J Pratts-Emanuelli; Achille Mileto; Daniela B Husarik; Mustafa R Bashir; Rendon C Nelson; Daniel T Boll
Journal:  Eur Radiol       Date:  2014-10-03       Impact factor: 5.315

7.  The effect of radiation dose reduction on computer-aided detection (CAD) performance in a low-dose lung cancer screening population.

Authors:  Stefano Young; Pechin Lo; Grace Kim; Matthew Brown; John Hoffman; William Hsu; Wasil Wahi-Anwar; Carlos Flores; Grace Lee; Frederic Noo; Jonathan Goldin; Michael McNitt-Gray
Journal:  Med Phys       Date:  2017-03-14       Impact factor: 4.071

8.  Radiation Dose Reduction in Dual-Energy CT: Does It Affect the Accuracy of Urinary Stone Characterization?

Authors:  Mingliang Qu; Lifeng Yu; Daniel Gomez Cardona; Yu Liu; Xinhui Duan; Songtao Ai; Shuai Leng; Maria Shiung; Cynthia H McCollough
Journal:  AJR Am J Roentgenol       Date:  2015-08       Impact factor: 3.959

9.  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

10.  Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment.

Authors:  Egon Burian; Nico Sollmann; Kai Mei; Michael Dieckmeyer; Daniela Juncker; Maximilian Löffler; Tobias Greve; Claus Zimmer; Jan S Kirschke; Thomas Baum; Peter B Noël
Journal:  Quant Imaging Med Surg       Date:  2021-07
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