Chest CTat a dose below 0.3 mSv: Impact of iterative reconstruction on image quality and lung analysis

Acta Radiologica

Volumn 57, Issue 3, 2016, Pages 311-317

  Nakajo, Chiaki ^a   Heinzer, Susanne ^b   Montandon, Stéphane ^b   Dunet, Vincent ^a   Bize, Pierre ^a   Feldman, Andrei ^b   Beigelman Aubry, Catherine ^a  

^a LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

^b PHILIPS HEALTHCARE   (United States)

Author keywords

Image quality; Iterative reconstruction; Pulmonary nodules; Reduced dose chest computed tomography

Indexed keywords

ALGORITHMS; BIOLOGICAL ORGANS; IMAGE MATCHING; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; ITERATIVE METHODS; QUALITY CONTROL; TOMOGRAPHY;

DIAGNOSTIC IMAGE QUALITIES; FILTERED BACK PROJECTION; ITERATIVE RECONSTRUCTION; ITERATIVE RECONSTRUCTION ALGORITHMS; PULMONARY NODULES; QUALITATIVE EVALUATIONS; QUANTITATIVE ASSESSMENTS; THREE PARAMETERS;

COMPUTERIZED TOMOGRAPHY;

CONTRAST MEDIUM;

ADULT; AGED; ALGORITHM; ARTICLE; CLINICAL ARTICLE; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; FEMALE; FILTERED BACK PROJECTION; HUMAN; IMAGE NOISE; IMAGE QUALITY; IMAGE RECONSTRUCTION; INTERMETHOD COMPARISON; ITERATIVE RECONSTRUCTION; LUNG; LUNG LESION; LUNG NODULE; MALE; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RADIATION DOSE; RADIOLOGICAL PARAMETERS; RELIABILITY; VERY ELDERLY; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; LUNG TUMOR; MIDDLE AGED; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADULT; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; LUNG NEOPLASMS; MALE; MIDDLE AGED; RADIATION DOSAGE; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84961752966     PISSN: 02841851     EISSN: 16000455     Source Type: Journal    
DOI: 10.1177/0284185115578469     Document Type: Article

References (22)

1. Kuo W, Ciet P, Tiddens HA, et al. Monitoring cystic fibrosis lung disease by computed tomography. Radiation risk in perspective. Am J Respir Crit Care Med 2014;189:1328-1336.
2. Willemink MJ, de Jong PA, Leiner T, et al. Iterative reconstruction techniques for computed tomography, part 1: Technical principles. Eur Radiol 2013;23:1623-1631.
3. Singh S, Khawaja RD, Poujabbar S, et al. Iterative image reconstruction and its role in cardiothoracic computed tomography. J Thorac Imaging 2013;28:355-367.
4. Vardhanabhuti V, Loader RJ, Mitchell GR, et al. Image quality assessment of standard- And low-dose chest CT using filtered back projection, adaptive statistical iterative reconstruction, and novel model-based iterative reconstruction algorithms. Am J Roentgenol 2013;200:545-552.
5. Kalra MK, Woisetschlager M, Dahlstrom N, et al. Sinogram-affirmed iterative reconstruction of low-dose chest CT: Effect on image quality and radiation dose. Am J Roentgenol 2013;201:235-244.
6. Baumueller S, Winklehner A, Karlo C, et al. Low-dose CT of the lung: potential value of iterative reconstructions. Eur Radiol 2012;22:2597-2606.
7. Pontana F, Pagniez J, Flohr T, et al. Chest computed tomography using iterative reconstruction vs filtered back projection (Part 1): Evaluation of image noise reduction in 32 patients. Eur Radiol 2011;21:627-635.
8. Pontana F, Duhamel A, Pagniez J, et al. Chest computed tomography using iterative reconstruction vs filtered back projection (Part 2): image quality of low-dose CT examinations in 80 patients. Eur Radiol 2011;21:636-643.
9. Singh S, Kalra MK, Gilman MD, et al. Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: A pilot study 1. Radiology 2011;259: 565-573.
10. Willemink MJ, Leiner T, de Jong PA, et al. Iterative reconstruction techniques for computed tomography, part 2: initial results in dose reduction and image quality. Eur Radiol 2013;23:1632-1642.
11. Neroladaki A, Botsikas D, Boudabbous S, et al. Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations. Eur Radiol 2013;23:360-366.
12. Kligerman SJ, White CS. Image quality and feasibility of an ultralow-dose high-pitch helical triple-rule-out computed tomography angiography acquired in the caudocranial direction. J Thorac Imaging 2014;29: 50-59.
13. Khawaja RD, Singh S, Gilman M, et al. Computed tomography (CT) of the chest at less than 1 mSv: An ongoing prospective clinical trial of chest CT at submillisievert radiation doses with iterative model image reconstruction and iDose4 technique. J Comput Assist Tomogr 2014;38: 613-619.
14. Katsura M, Matsuda I, Akahane M, et al. Model-based iterative reconstruction technique for ultralow-dose chest CT. Invest Radiol 2013;48:206-212.
15. ImPACT - Imaging Performance Assessment of CT Scanners. 2002. Four slice CT scanner comparison report. Available at: http://www.impactscan.org/reports/full/MDA02021.pdf (accessed 24 October 2014).
16. European guidelines on quality criteria for computed tomography. EUR 16262. Available at: http://w3.tue.nl/fileadmin/sbd/Documenten/Leergang/BSM/European-Guidelines-Quality-Criteria-Computed-Tomography-Eur-16252.pdf (accessed 24 October 2014).
17. MacMahon H, Austin JH, Gamsu G, et al. Guidelines for management of small pulmonary nodules detected on CT scans: A statement from the Fleischner Society. Radiology 2005;237:395-400.
18. American College of Radiology. ACR Appropriateness Criteria, radiation dose assessment introduction. 2013. Available at: http://www.acr.org/-/media/a27a29133302408bb86888eafd460a1f.pdf (accessed 24 October 2014).
19. European Commission. Referral guidelines for imaging, radiation protection 118. 2008. Available at: http://ec.europa.eu/energy/nuclear/radioprotection/publication/doc/118-update-en.pdf (accessed 24 October 2014).
20. American College of Radiology. ACR-AAPM practice guidelines for diagnostic reference levels and achievable dose in medical X-rays imaging. 2013. Available at: http://www.acr.org/-/media/796DE35AA407447DB81CEB5612B4553D.pdf (accessed 24 October 2014).
21. Von Falck C, Galanski M, Shin HO. Informatics in radiology: sliding-thin-slab averaging for improved depiction of low-contrast lesions with radiation dose savings at thin-section CT. Radiographics 2010;30:317-326.
22. Beigelman-Aubry C, Hill C, Guibal A, et al. Multi-detector row CT and postprocessing techniques in the assessment of diffuse lung disease. Radiographics 2005;25: 1639-1652.