title: Bias field inconsistency correction of motion-scattered multislice MRI for improved 3D image reconstruction.
abstract: A common solution to clinical MR imaging in the presence of large anatomical motion is to use fast multislice 2D studies to reduce slice acquisition time and provide clinically usable slice data. Recently, techniques have been developed which retrospectively correct large scale 3D motion between individual slices allowing the formation of a geometrically correct 3D volume from the multiple slice stacks. One challenge, however, in the final reconstruction process is the possibility of varying intensity bias in the slice data, typically due to the motion of the anatomy relative to imaging coils. As a result, slices which cover the same region of anatomy at different times may exhibit different sensitivity. This bias field inconsistency can induce artifacts in the final 3D reconstruction that can impact both clinical interpretation of key tissue boundaries and the automated analysis of the data. Here we describe a framework to estimate and correct the bias field inconsistency in each slice collectively across all motion corrupted image slices. Experiments using synthetic and clinical data show that the proposed method reduces intensity variability in tissues and improves the distinction between key tissue types.
authors.affiliation: Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA.
authors.forename: Kio
authors.initials: K
authors.lastname: Kim
authors.forename: Piotr A
authors.initials: PA
authors.lastname: Habas
authors.forename: Vidya
authors.initials: V
authors.lastname: Rajagopalan
authors.forename: Julia A
authors.initials: JA
authors.lastname: Scott
authors.forename: James M
authors.initials: JM
authors.lastname: Corbett-Detig
authors.forename: Francois
authors.initials: F
authors.lastname: Rousseau
authors.forename: A James
authors.initials: AJ
authors.lastname: Barkovich
authors.forename: Orit A
authors.initials: OA
authors.lastname: Glenn
authors.forename: Colin
authors.initials: C
authors.lastname: Studholme
mesh_terms: D000465:Algorithms; D016477:Artifacts; D015982:Bias; D001921:Brain / Q000033:anatomy & histology / Q000196:embryology; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D061330:Multidetector Computed Tomography / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011247:Pregnancy; D011296:Prenatal Diagnosis / Q000379:methods; D012680:Sensitivity and Specificity