Dose reduction in chest CT: comparison of the adaptive iterative dose reduction 3D, adaptive iterative dose reduction, and filtered back projection reconstruction techniques.

OBJECTIVES To assess the effectiveness of adaptive iterative dose reduction (AIDR) and AIDR 3D in improving the image quality in low-dose chest CT (LDCT). MATERIALS AND METHODS Fifty patients underwent standard-dose chest CT (SDCT) and LDCT simultaneously, performed under automatic exposure control with noise index of 19 and 38 (for a 2-mm slice thickness), respectively. The SDCT images were reconstructed with filtered back projection (SDCT-FBP images), and the LDCT images with FBP, AIDR and AIDR 3D (LDCT-FBP, LDCT-AIDR and LDCT-AIDR 3D images, respectively). On all the 200 lung and 200 mediastinal image series, objective image noise and signal-to-noise ratio (SNR) were measured in several regions, and two blinded radiologists independently assessed the subjective image quality. Wilcoxon's signed rank sum test with Bonferroni's correction was used for the statistical analyses. RESULTS The mean dose reduction in LDCT was 64.2% as compared with the dose in SDCT. LDCT-AIDR 3D images showed significantly reduced objective noise and significantly increased SNR in all regions as compared to the SDCT-FBP, LDCT-FBP and LDCT-AIDR images (all, P ≤ 0.003). In all assessments of the image quality, LDCT-AIDR 3D images were superior to LDCT-AIDR and LDCT-FBP images. The overall diagnostic acceptability of both the lung and mediastinal LDCT-AIDR 3D images was comparable to that of the lung and mediastinal SDCT-FBP images. CONCLUSIONS AIDR 3D is superior to AIDR. Intra-individual comparisons between SDCT and LDCT suggest that AIDR 3D allows a 64.2% reduction of the radiation dose as compared to SDCT, by substantially reducing the objective image noise and increasing the SNR, while maintaining the overall diagnostic acceptability.

[1]  Thomas Frauenfelder,et al.  Computed Tomography of the Lung in the High-Pitch Mode: Is Breath Holding Still Required? , 2011, Investigative radiology.

[2]  Katsuyuki Taguchi,et al.  Combination of a Low-Tube-Voltage Technique With Hybrid Iterative Reconstruction (iDose) Algorithm at Coronary Computed Tomographic Angiography , 2011, Journal of computer assisted tomography.

[3]  R. Wu,et al.  Radiation dose of non-enhanced chest CT can be reduced 40% by using iterative reconstruction in image space. , 2011, Clinical radiology.

[4]  R. A. Brooks,et al.  Principles of computer assisted tomography (CAT) in radiographic and radioisotopic imaging , 1976, Physics in medicine and biology.

[5]  F. Tatsugami,et al.  The effect of adaptive iterative dose reduction on image quality in 320-detector row CT coronary angiography. , 2012, The British journal of radiology.

[6]  Hiroto Hatabu,et al.  Use of 3D adaptive raw-data filter in CT of the lung: effect on radiation dose reduction. , 2008, AJR. American journal of roentgenology.

[7]  M F McNitt-Gray,et al.  Application of the noise power spectrum in modern diagnostic MDCT: part II. Noise power spectra and signal to noise , 2007, Physics in medicine and biology.

[8]  Francis R Verdun,et al.  Iterative reconstruction methods in two different MDCT scanners: physical metrics and 4-alternative forced-choice detectability experiments--a phantom approach. , 2013, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[9]  William H. Judy,et al.  The Measurement, Reporting, and Management of Radiation Dose in CT , 2008 .

[10]  Hiroaki Sugiura,et al.  Model-Based Iterative Reconstruction Technique for Ultralow-Dose Computed Tomography of the Lung: A Pilot Study , 2012, Investigative radiology.

[11]  D. Brenner,et al.  Computed tomography--an increasing source of radiation exposure. , 2007, The New England journal of medicine.

[12]  J. Paul,et al.  Low-kilovoltage multi-detector row chest CT in adults: feasibility and effect on image quality and iodine dose. , 2004, Radiology.

[13]  J. Remy,et al.  Chest computed tomography using iterative reconstruction vs filtered back projection (Part 2): image quality of low-dose CT examinations in 80 patients , 2011, European Radiology.

[14]  William Pavlicek,et al.  Abdominal CT: comparison of low-dose CT with adaptive statistical iterative reconstruction and routine-dose CT with filtered back projection in 53 patients. , 2010, AJR. American journal of roentgenology.

[15]  Thomas L Toth,et al.  Chest CT performed with z-axis modulation: scanning protocol and radiation dose. , 2005, Radiology.

[16]  Jacques Felblinger,et al.  CT image quality improvement using adaptive iterative dose reduction with wide-volume acquisition on 320-detector CT , 2012, European Radiology.

[17]  G. Hounsfield.  Computerized transverse axial scanning (tomography): Part I. Description of system. 1973. , 1973, The British journal of radiology.

[18]  Oliver Bieri,et al.  23Na MR imaging at 7 T after knee matrix-associated autologous chondrocyte transplantation preliminary results. , 2010, Radiology.

[19]  C. Fink,et al.  Coronary CT angiography: image quality, diagnostic accuracy, and potential for radiation dose reduction using a novel iterative image reconstruction technique—comparison with traditional filtered back projection , 2011, European Radiology.

[20]  Alvin C. Silva,et al.  Iterative Reconstruction Technique for Reducing Body Radiation Dose at Ct: Feasibility Study Hara Et Al. Ct Iterative Reconstruction Technique Gastrointestinal Imaging Original Research , 2022 .

[21]  Marleen de Bruijne,et al.  Cystic fibrosis: are volumetric ultra-low-dose expiratory CT scans sufficient for monitoring related lung disease? , 2009, Radiology.

[22]  Jiang Hsieh,et al.  Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study. , 2011, Radiology.