title: MODEL-BASED ITERATIVE RECONSTRUCTION ENABLES THE EVALUATION OF THIN-SLICE COMPUTED TOMOGRAPHY IMAGES WITHOUT DEGRADING IMAGE QUALITY OR INCREASING RADIATION DOSE.
abstract: Computed tomography (CT) is one of the most important modalities in a radiological department. This technique not only produces images that enable radiological reports with high diagnostic confidence, but it may also provide an elevated radiation dose to the patient. The radiation dose can be reduced by using advanced image reconstruction algorithms. This study was performed on a Brilliance iCT, equipped with iDose(4) iterative reconstruction and an iterative model-based reconstruction (IMR) method. The purpose was to investigate the effect of reduced slice thickness combined with an IMR method on image quality compared with standard slice thickness with iDose(4) reconstruction. The results of objective and subjective image quality evaluations showed that a thinner slice combined with IMR can improve the image quality and reduce partial volume artefacts compared with the standard slice thickness with iDose(4) In conclusion, IMR enables reduction of the slice thickness while maintaining or even improving image quality versus iDose(4).
authors.affiliation: Medical Radiation Physics Malmö, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö SE-205 02, Sweden marie-louise.aurumskjold@med.lu.se.
authors.forename: Marie-Louise
authors.initials: ML
authors.lastname: Aurumskjöld
authors.affiliation: Philips Healthcare, Malmö SE-211 24, Sweden.
authors.forename: Kristina
authors.initials: K
authors.lastname: Ydström
authors.affiliation: Medical Radiation Physics Malmö, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö SE-205 02, Sweden.
authors.forename: Anders
authors.initials: A
authors.lastname: Tingberg
authors.affiliation: Medical Radiation Physics Malmö, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö SE-205 02, Sweden.
authors.forename: Marcus
authors.initials: M
authors.lastname: Söderberg
mesh_terms: D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D015233:Models, Statistical; D015588:Observer Variation; D019047:Phantoms, Imaging; D011829:Radiation Dosage; D000069079:Radiation Exposure / Q000032:analysis / Q000517:prevention & control*; D011835:Radiation Protection / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D059629:Signal-To-Noise Ratio; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods*