Literature DB >> 25037931

Reducing CT radiation dose with iterative reconstruction algorithms: the influence of scan and reconstruction parameters on image quality and CTDIvol.

Thorsten Klink1, Verena Obmann2, Johannes Heverhagen3, Alexander Stork4, Gerhard Adam5, Philipp Begemann6.   

Abstract

OBJECTIVES: In this phantom CT study, we investigated whether images reconstructed using filtered back projection (FBP) and iterative reconstruction (IR) with reduced tube voltage and current have equivalent quality. We evaluated the effects of different acquisition and reconstruction parameter settings on image quality and radiation doses. Additionally, patient CT studies were evaluated to confirm our phantom results.
METHODS: Helical and axial 256 multi-slice computed tomography scans of the phantom (Catphan(®)) were performed with varying tube voltages (80-140kV) and currents (30-200mAs). 198 phantom data sets were reconstructed applying FBP and IR with increasing iterations, and soft and sharp kernels. Further, 25 chest and abdomen CT scans, performed with high and low exposure per patient, were reconstructed with IR and FBP. Two independent observers evaluated image quality and radiation doses of both phantom and patient scans.
RESULTS: In phantom scans, noise reduction was significantly improved using IR with increasing iterations, independent from tissue, scan-mode, tube-voltage, current, and kernel. IR did not affect high-contrast resolution. Low-contrast resolution was also not negatively affected, but improved in scans with doses <5mGy, although object detectability generally decreased with the lowering of exposure. At comparable image quality levels, CTDIvol was reduced by 26-50% using IR. In patients, applying IR vs. FBP resulted in good to excellent image quality, while tube voltage and current settings could be significantly decreased.
CONCLUSIONS: Our phantom experiments demonstrate that image quality levels of FBP reconstructions can also be achieved at lower tube voltages and tube currents when applying IR. Our findings could be confirmed in patients revealing the potential of IR to significantly reduce CT radiation doses.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Computed tomography; Hybrid iterative reconstruction; Image quality; Phantom; Radiation dose

Mesh:

Year:  2014        PMID: 25037931     DOI: 10.1016/j.ejrad.2014.05.033

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  12 in total

1.  Optimization of hybrid iterative reconstruction level and evaluation of image quality and radiation dose for pediatric cardiac computed tomography angiography.

Authors:  Lin Yang; Jian Zhuang; Meiping Huang; Changhong Liang; Hui Liu
Journal:  Pediatr Radiol       Date:  2016-09-16

2.  Low contrast detectability and spatial resolution with model-based Iterative reconstructions of MDCT images: a phantom and cadaveric study.

Authors:  Domitille Millon; Alain Vlassenbroek; Aline G Van Maanen; Samantha E Cambier; Emmanuel E Coche
Journal:  Eur Radiol       Date:  2016-06-14       Impact factor: 5.315

3.  Effect of iterative reconstruction techniques on image quality in low radiation dose chest CT: a phantom study.

Authors:  Yan Xu; Ting-Ting Zhang; Zhi-Hai Hu; Juan Li; Hong-Jun Hou; Zu-Shan Xu; Wen He
Journal:  Diagn Interv Radiol       Date:  2019-11       Impact factor: 2.630

Review 4.  Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice.

Authors:  Yasasvi Tadavarthi; Valeria Makeeva; William Wagstaff; Henry Zhan; Anna Podlasek; Neil Bhatia; Marta Heilbrun; Elizabeth Krupinski; Nabile Safdar; Imon Banerjee; Judy Gichoya; Hari Trivedi
Journal:  Radiol Artif Intell       Date:  2022-02-02

5.  Direct Reconstruction of CT-based Attenuation Correction Images for PET with Cluster-Based Penalties.

Authors:  Soo Mee Kim; Adam M Alessio; Bruno De Man; Paul E Kinahan
Journal:  IEEE Trans Nucl Sci       Date:  2017-01-17       Impact factor: 1.679

6.  Improved scan method for dental imaging using multidetector computed tomography: a phantom study.

Authors:  Yuki Sakai; Kazutoshi Okamura; Erina Kitamoto; Yukiko N Kami; Takashi Shirasaka; Ryoji Mikayama; Masato Tatsumi; Masatoshi Kondo; Toyoyuki Kato; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2020-04-29       Impact factor: 2.419

7.  The potential for reduced radiation dose from deep learning-based CT image reconstruction: A comparison with filtered back projection and hybrid iterative reconstruction using a phantom.

Authors:  Ji Eun Lee; Seo-Youn Choi; Jeong Ah Hwang; Sanghyeok Lim; Min Hee Lee; Boem Ha Yi; Jang Gyu Cha
Journal:  Medicine (Baltimore)       Date:  2021-05-14       Impact factor: 1.889

8.  Coronary Computed Tomographic Angiography at 80 kVp and Knowledge-Based Iterative Model Reconstruction Is Non-Inferior to that at 100 kVp with Iterative Reconstruction.

Authors:  Joohee Lee; Chul Hwan Park; Chi Suk Oh; Kyunghwa Han; Tae Hoon Kim
Journal:  PLoS One       Date:  2016-09-22       Impact factor: 3.240

Review 9.  FDG-PET/CT(A) imaging in large vessel vasculitis and polymyalgia rheumatica: joint procedural recommendation of the EANM, SNMMI, and the PET Interest Group (PIG), and endorsed by the ASNC.

Authors:  Riemer H J A Slart
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-11       Impact factor: 9.236

10.  Evaluation of an integrated 3D-printed phantom for coronary CT angiography using iterative reconstruction algorithm.

Authors:  Kamarul A Abdullah; Mark F McEntee; Warren Reed; Peter L Kench
Journal:  J Med Radiat Sci       Date:  2020-03-27
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