IMAGE QUALITY AND POTENTIAL DOSE REDUCTION USING ADVANCED MODELED ITERATIVE RECONSTRUCTION (ADMIRE) IN ABDOMINAL CT - A REVIEW

Author:

Kataria B123ORCID,Nilsson Althén J24,Smedby Ö5ORCID,Persson A123ORCID,Sökjer H2,Sandborg M234ORCID

Affiliation:

1. Department of Radiology, Linköping University, Linköping, Sweden

2. Department of Health, Medicine & Caring Sciences, Linköping University, Linköping, Sweden

3. Center for Medical Image Science & Visualization (CMIV), Linköping University, Linköping, Sweden

4. Department of Medical Physics, Linköping University, Linköping, Sweden

5. Department of Biomedical Engineering and Health Systems (MTH), KTH Royal Institute of Technology, Stockholm, Sweden

Abstract

Abstract Traditional filtered back projection (FBP) reconstruction methods have served the computed tomography (CT) community well for over 40 years. With the increased use of CT during the last decades, efforts to minimise patient exposure, while maintaining sufficient or improved image quality, have led to the development of model-based iterative reconstruction (MBIR) algorithms from several vendors. The usefulness of the advanced modeled iterative reconstruction (ADMIRE) (Siemens Healthineers) MBIR in abdominal CT is reviewed and its noise suppression and/or dose reduction possibilities explored. Quantitative and qualitative methods with phantom and human subjects were used. Assessment of the quality of phantom images will not always correlate positively with those of patient images, particularly at the higher strength of the ADMIRE algorithm. With few exceptions, ADMIRE Strength 3 typically allows for substantial noise reduction compared to FBP and hence to significant (≈30%) patient dose reductions. The size of the dose reductions depends on the diagnostic task.

Funder

ALF

FoU

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Radiology, Nuclear Medicine and imaging,General Medicine,Radiation,Radiological and Ultrasound Technology

Reference22 articles.

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