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

Bharti Kataria, Jonas Nilsson Althén, Örjan Smedby, Anders Persson, H. Sökjer, Michael Sandborg

2021Radiation Protection Dosimetry30 citationsDOIOpen Access PDF

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.

Topics & Concepts

Imaging phantomImage qualityIterative reconstructionRadon transformReduction (mathematics)Computer scienceProjection (relational algebra)Abdominal computed tomographyNoise reductionNoise (video)Iterative methodNuclear medicineComputed tomographyArtificial intelligenceAlgorithmImage (mathematics)MedicineRadiologyMathematicsGeometryRadiation Dose and ImagingAdvanced X-ray and CT ImagingMedical Imaging Techniques and Applications
IMAGE QUALITY AND POTENTIAL DOSE REDUCTION USING ADVANCED MODELED ITERATIVE RECONSTRUCTION (ADMIRE) IN ABDOMINAL CT - A REVIEW | Litcius