Literature DB >> 26663036

Impact of iterative reconstructions on image noise and low-contrast object detection in low kVp simulated abdominal CT: a phantom study.

Fredrik Holmquist1, Ulf Nyman2, Roger Siemund3, Mats Geijer3, Marcus Söderberg4.   

Abstract

BACKGROUND: Low kilovoltage (kVp) computed tomography (CT) may be used to reduce contrast medium dose in patients at risk of contrast nephropathy, at the cost of increased image noise.
PURPOSE: To evaluate: (i) the impact of iterative reconstructions (Siemens SAFIRE) on low-contrast object detection to compensate for increased noise instead of increased tube loading when decreasing tube potential; and (ii) the change in iodine attenuation in simulated abdominal CT.
MATERIAL AND METHODS: A phantom was scanned at 70, 80, 100, and 120 kVp at fixed effective tube loading (170 mAsEFF) and fixed radiation dose (CTDIVOL 10 mGy). Images were reconstructed with filtered back-projection (FBP) and SAFIRE strengths S1-S5. Iodine attenuation, objective image noise, contrast-to-noise ratio (CNR), noise power spectrum (NPS), spatial resolution, and subjective detectability of low-contrast objects were evaluated.
RESULTS: Compared with 120 kVp iodine attenuation increased by a factor 1.6 and 2.0, and image noise increased by a factor 1.9 and 2.5 at 80 and 70 kVp, respectively. Compared with FBP, SAFIRE showed objective reduction in image noise and increased CNR without loss of spatial resolution or any significant NPS alteration, with general tendency to improve subjective detectability of low-contrast objects. At 170 mAsEFF the number of discernible 1.0% contrast objects at 70 kVp/S5 and 80 kVp/S5 was similar to that at 120 kVp/FBP.
CONCLUSION: With the SAFIRE algorithm image noise, CNR and detectability of low-contrast objects may be kept unchanged without increased tube loading when using low kVp settings to reduce contrast medium dose in azotemic patients. © The Foundation Acta Radiologica 2015.

Entities:  

Keywords:  Computed tomography (CT); filtered back-projection; image noise; iterative reconstruction; low tube voltage; noise reduction; radiation

Mesh:

Substances:

Year:  2015        PMID: 26663036     DOI: 10.1177/0284185115617347

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  7 in total

1.  Impact of model-based iterative reconstruction on low-contrast lesion detection and image quality in abdominal CT: a 12-reader-based comparative phantom study with filtered back projection at different tube voltages.

Authors:  André Euler; Bram Stieltjes; Zsolt Szucs-Farkas; Reto Eichenberger; Clemens Reisinger; Anna Hirschmann; Caroline Zaehringer; Achim Kircher; Matthias Streif; Sabine Bucher; David Buergler; Luigia D'Errico; Sebastién Kopp; Markus Wilhelm; Sebastian T Schindera
Journal:  Eur Radiol       Date:  2017-04-03       Impact factor: 5.315

2.  Correlation between human detection accuracy and observer model-based image quality metrics in computed tomography.

Authors:  Justin Solomon; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2016-09-22

3.  Effect of Radiation Dose Reduction and Reconstruction Algorithm on Image Noise, Contrast, Resolution, and Detectability of Subtle Hypoattenuating Liver Lesions at Multidetector CT: Filtered Back Projection versus a Commercial Model-based Iterative Reconstruction Algorithm.

Authors:  Justin Solomon; Daniele Marin; Kingshuk Roy Choudhury; Bhavik Patel; Ehsan Samei
Journal:  Radiology       Date:  2017-02-07       Impact factor: 11.105

4.  Application of 80-kVp scan and raw data-based iterative reconstruction for reduced iodine load abdominal-pelvic CT in patients at risk of contrast-induced nephropathy referred for oncological assessment: effects on radiation dose, image quality and renal function.

Authors:  Yasunori Nagayama; Shota Tanoue; Akinori Tsuji; Joji Urata; Mitsuhiro Furusawa; Seitaro Oda; Takeshi Nakaura; Daisuke Utsunomiya; Eri Yoshida; Morikatsu Yoshida; Masafumi Kidoh; Machiko Tateishi; Yasuyuki Yamashita
Journal:  Br J Radiol       Date:  2018-03-02       Impact factor: 3.039

5.  Noise reduction profile: A new method for evaluation of noise reduction techniques in CT.

Authors:  Akira Hasegawa; Toshihiro Ishihara; M Allan Thomas; Tinsu Pan
Journal:  Med Phys       Date:  2021-12-15       Impact factor: 4.506

6.  Can iterative reconstruction algorithms replace tube loading compensation in low kVp hepatic CT? Subjective versus objective image quality.

Authors:  Fredrik Holmquist; Marcus Söderberg; Ulf Nyman; Tobias Fält; Roger Siemund; Mats Geijer
Journal:  Acta Radiol Open       Date:  2020-03-16

7.  Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm.

Authors:  Yoon Joo Shin; Won Chang; Jong Chul Ye; Eunhee Kang; Dong Yul Oh; Yoon Jin Lee; Ji Hoon Park; Young Hoon Kim
Journal:  Korean J Radiol       Date:  2020-03       Impact factor: 3.500

  7 in total

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