title: Joint intensity inhomogeneity correction for whole-body MR data.
abstract: Whole-body MR receives increasing interest as potential alternative to many conventional diagnostic methods. Typical whole-body MR scans contain multiple data channels and are acquired in a multistation manner. Quantification of such data typically requires correction of two types of artefacts: different intensity scaling on each acquired image stack, and intensity inhomogeneity (bias) within each stack. In this work, we present an all-in-one method that is able to correct for both mentioned types of acquisition artefacts. The most important properties of our method are: 1) All the processing is performed jointly on all available data channels, which is necessary for preserving the relation between them, and 2) It allows easy incorporation of additional knowledge for estimation of the bias field. Performed validation on two types of whole-body MR data confirmed superior performance of our approach in comparison with state-of-the-art bias removal methods.
authors: Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
authors: Oleh
authors: O
authors: Dzyubachyk
authors: Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
authors: Rob J
authors: RJ
authors: van der Geest
authors: Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
authors: Marius
authors: M
authors: Staring
authors: Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
authors: Peter
authors: P
authors: Börnert
authors: Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
authors: Monique
authors: M
authors: Reijnierse
authors: Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
authors: Johan L
authors: JL
authors: Bloeml
authors: Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
authors: Boudewijn P F
authors: BP
authors: Lelieveldt
mesh_terms: D000465:Algorithms; D016477:Artifacts; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D051598:Whole Body Imaging / Q000379:methods*