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01-08-2012 | Computed Tomography

Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique

Authors: Masaki Katsura, Izuru Matsuda, Masaaki Akahane, Jiro Sato, Hiroyuki Akai, Koichiro Yasaka, Akira Kunimatsu, Kuni Ohtomo

Published in: European Radiology | Issue 8/2012

Abstract

Objectives

To prospectively evaluate dose reduction and image quality characteristics of chest CT reconstructed with model-based iterative reconstruction (MBIR) compared with adaptive statistical iterative reconstruction (ASIR).

Methods

One hundred patients underwent reference-dose and low-dose unenhanced chest CT with 64-row multidetector CT. Images were reconstructed with 50 % ASIR-filtered back projection blending (ASIR50) for reference-dose CT, and with ASIR50 and MBIR for low-dose CT. Two radiologists assessed the images in a blinded manner for subjective image noise, artefacts and diagnostic acceptability. Objective image noise was measured in the lung parenchyma. Data were analysed using the sign test and pair-wise Student’s t-test.

Results

Compared with reference-dose CT, there was a 79.0 % decrease in dose–length product with low-dose CT. Low-dose MBIR images had significantly lower objective image noise (16.93 ± 3.00) than low-dose ASIR (49.24 ± 9.11, P < 0.01) and reference-dose ASIR images (24.93 ± 4.65, P < 0.01). Low-dose MBIR images were all diagnostically acceptable. Unique features of low-dose MBIR images included motion artefacts and pixellated blotchy appearances, which did not adversely affect diagnostic acceptability.

Conclusion

Diagnostically acceptable chest CT images acquired with nearly 80 % less radiation can be obtained using MBIR. MBIR shows greater potential than ASIR for providing diagnostically acceptable low-dose CT images without severely compromising image quality.

Key Points

• Model-based iterative reconstruction (MBIR) creates high-quality low-dose CT images.

• MBIR significantly improves image noise and artefacts over adaptive statistical iterative techniques.

• MBIR shows greater potential than ASIR for diagnostically acceptable low-dose CT.

• The prolonged processing time of MBIR may currently limit its routine use in clinical practice.

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Title: Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique
Authors: Masaki Katsura
Izuru Matsuda
Masaaki Akahane
Jiro Sato
Hiroyuki Akai
Koichiro Yasaka
Akira Kunimatsu
Kuni Ohtomo
Publication date: 01-08-2012
Publisher: Springer-Verlag
Published in: European Radiology / Issue 8/2012
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-012-2452-z

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique

Abstract

Objectives

Methods

Results

Conclusion

Key Points

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Objectives

Methods

Results

Conclusion

Key Points

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