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

• Published in: European radiology 2012-08, Vol.22 (8), p.1613-1623
• Main Authors: Katsura, Masaki, Matsuda, Izuru, Akahane, Masaaki, Sato, Jiro, Akai, Hiroyuki, Yasaka, Koichiro, Kunimatsu, Akira, Ohtomo, Kuni
• Format: Article
• Language: English
• Subjects: Aged; Algorithms; Body Weight; Computed Tomography; Diagnostic Imaging - methods; Diagnostic Radiology; Female; Humans; Imaging; Informed consent; Internal Medicine; Interventional Radiology; Lung - diagnostic imaging; Male; Medicine; Medicine & Public Health; Middle Aged; Models, Statistical; Motion; Neuroradiology; Participation; Phantoms, Imaging; Prospective Studies; Radiation; Radiographic Image Interpretation, Computer-Assisted - methods; Radiology; Reproducibility of Results; Tomography; Tomography, X-Ray Computed - methods; Ultrasound
• ISSN: 0938-7994; 1432-1084
• DOI: 10.1007/s00330-012-2452-z

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