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Erschienen in: European Radiology 1/2012

01.01.2012 | Computed Tomography

Adaptive statistical iterative reconstruction versus filtered back projection in the same patient: 64 channel liver CT image quality and patient radiation dose

verfasst von: Lee M. Mitsumori, William P. Shuman, Janet M. Busey, Orpheus Kolokythas, Kent M. Koprowicz

Erschienen in: European Radiology | Ausgabe 1/2012

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Abstract

Objectives

To compare routine dose liver CT reconstructed with filtered back projection (FBP) versus low dose images reconstructed with FBP and adaptive statistical iterative reconstruction (ASIR).

Methods

In this retrospective study, patients had a routine dose protocol reconstructed with FBP, and again within 17 months (median 6.1 months), had a low dose protocol reconstructed twice, with FBP and ASIR. These reconstructions were compared for noise, image quality, and radiation dose.

Results

Nineteen patients were included. (12 male, mean age 58). Noise was significantly lower in low dose images reconstructed with ASIR compared to routine dose images reconstructed with FBP (liver: p < .05, aorta: p < 0.001). Low dose FBP images were scored significantly lower for subjective image quality than low dose ASIR (2.1 ± 0.5, 3.2 ± 0.8, p < 0.001). There was no difference in subjective image quality scores between routine dose FBP images and low dose ASIR images (3.6 ± 0.5, 3.2 ± 0.8, NS).Radiation dose was 41% less for the low dose protocol (4.4 ± 2.4 mSv versus 7.5 ± 5.5 mSv, p < 0.05).

Conclusions

Our initial results suggest low dose CT images reconstructed with ASIR may have lower measured noise, similar image quality, yet significantly less radiation dose compared with higher dose images reconstructed with FBP.
Literatur
1.
Zurück zum Zitat Yanagawa M, Honda O, Yoshida S et al (2010) Adaptive statistical iterative reconstruction technique for pulmonary CT: image quality of the cadaveric lung on standard- and reduced-dose CT. Acad Radiol 17:1259–1266PubMedCrossRef Yanagawa M, Honda O, Yoshida S et al (2010) Adaptive statistical iterative reconstruction technique for pulmonary CT: image quality of the cadaveric lung on standard- and reduced-dose CT. Acad Radiol 17:1259–1266PubMedCrossRef
2.
Zurück zum Zitat Prakash P, Kalra MK, Kambadakone AK et al (2010) Reducing abdominal CT radiation dose with adaptive statistical iterative reconstruction technique. Invest Radiol 45:202–210PubMedCrossRef Prakash P, Kalra MK, Kambadakone AK et al (2010) Reducing abdominal CT radiation dose with adaptive statistical iterative reconstruction technique. Invest Radiol 45:202–210PubMedCrossRef
3.
Zurück zum Zitat Prakash P, Kalra MK, Digumarthy SR et al (2010) Radiation dose reduction with chest computed tomography using adaptive statistical iterative reconstruction technique: initial experience. J Comput Assist Tomogr 34:40–45PubMedCrossRef Prakash P, Kalra MK, Digumarthy SR et al (2010) Radiation dose reduction with chest computed tomography using adaptive statistical iterative reconstruction technique: initial experience. J Comput Assist Tomogr 34:40–45PubMedCrossRef
4.
Zurück zum Zitat Marin D, Nelson RC, Schindera ST et al (2010) Low-tube-voltage, high-tube-current multidetector abdominal CT: improved image quality and decreased radiation dose with adaptive statistical iterative reconstruction algorithm–initial clinical experience. Radiology 254:145–153PubMedCrossRef Marin D, Nelson RC, Schindera ST et al (2010) Low-tube-voltage, high-tube-current multidetector abdominal CT: improved image quality and decreased radiation dose with adaptive statistical iterative reconstruction algorithm–initial clinical experience. Radiology 254:145–153PubMedCrossRef
5.
Zurück zum Zitat Hara AK, Paden RG, Silva AC, Kujak JL, Lawder HJ, Pavlicek W (2009) Iterative reconstruction technique for reducing body radiation dose at CT: feasibility study. AJR Am J Roentgenol 193:764–771PubMedCrossRef Hara AK, Paden RG, Silva AC, Kujak JL, Lawder HJ, Pavlicek W (2009) Iterative reconstruction technique for reducing body radiation dose at CT: feasibility study. AJR Am J Roentgenol 193:764–771PubMedCrossRef
6.
Zurück zum Zitat Flicek KT, Hara AK, Silva AC, Wu Q, Peter MB, Johnson CD (2010) Reducing the radiation dose for CT colonography using adaptive statistical iterative reconstruction: a pilot study. AJR Am J Roentgenol 195:126–131PubMedCrossRef Flicek KT, Hara AK, Silva AC, Wu Q, Peter MB, Johnson CD (2010) Reducing the radiation dose for CT colonography using adaptive statistical iterative reconstruction: a pilot study. AJR Am J Roentgenol 195:126–131PubMedCrossRef
7.
Zurück zum Zitat Silva AC, Lawder HJ, Hara A, Kujak J, Pavlicek W (2010) Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. AJR Am J Roentgenol 194:191–199PubMedCrossRef Silva AC, Lawder HJ, Hara A, Kujak J, Pavlicek W (2010) Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. AJR Am J Roentgenol 194:191–199PubMedCrossRef
8.
Zurück zum Zitat Leipsic J, Labounty TM, Heilbron B et al (2010) Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary CT angiography. AJR Am J Roentgenol 195:649–654PubMedCrossRef Leipsic J, Labounty TM, Heilbron B et al (2010) Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary CT angiography. AJR Am J Roentgenol 195:649–654PubMedCrossRef
9.
Zurück zum Zitat Sagara Y, Hara AK, Pavlicek W, Silva AC, Paden RG, Wu Q (2010) Abdominal CT: comparison of low-dose CT with adaptive statistical iterative reconstruction and routine-dose CT with filtered back projection in 53 patients. AJR Am J Roentgenol 195:713–719PubMedCrossRef Sagara Y, Hara AK, Pavlicek W, Silva AC, Paden RG, Wu Q (2010) Abdominal CT: comparison of low-dose CT with adaptive statistical iterative reconstruction and routine-dose CT with filtered back projection in 53 patients. AJR Am J Roentgenol 195:713–719PubMedCrossRef
10.
Zurück zum Zitat Singh S, Kalra MK, Hsieh J et al (2010) Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques. Radiology 257:373–3836PubMedCrossRef Singh S, Kalra MK, Hsieh J et al (2010) Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques. Radiology 257:373–3836PubMedCrossRef
11.
Zurück zum Zitat Kanal KM, Stewart BK, Kolokythas O, Shuman WP (2007) Impact of operator-selected image noise index and reconstruction slice thickness on patient radiation dose in 64-MDCT. AJR Am J Roentgenol 189:219–225PubMedCrossRef Kanal KM, Stewart BK, Kolokythas O, Shuman WP (2007) Impact of operator-selected image noise index and reconstruction slice thickness on patient radiation dose in 64-MDCT. AJR Am J Roentgenol 189:219–225PubMedCrossRef
12.
Zurück zum Zitat AAPM Task Group 23 of the Diagnostic Imaging Council CT Committee (2008) The Measurement, Reporting, and Management of Radiation Dose in CT [AAPM Report 96]. American Association of Physicists in Medicine College Park, MD. Available via http://www.aapm.org/pubs/reports/RPT_96.pdf. Accessed 04 January 2011 AAPM Task Group 23 of the Diagnostic Imaging Council CT Committee (2008) The Measurement, Reporting, and Management of Radiation Dose in CT [AAPM Report 96]. American Association of Physicists in Medicine College Park, MD. Available via http://​www.​aapm.​org/​pubs/​reports/​RPT_​96.​pdf. Accessed 04 January 2011
Metadaten
Titel
Adaptive statistical iterative reconstruction versus filtered back projection in the same patient: 64 channel liver CT image quality and patient radiation dose
verfasst von
Lee M. Mitsumori
William P. Shuman
Janet M. Busey
Orpheus Kolokythas
Kent M. Koprowicz
Publikationsdatum
01.01.2012
Verlag
Springer-Verlag
Erschienen in
European Radiology / Ausgabe 1/2012
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-011-2186-3

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