title: Registration-based interpolation.
abstract: A method is presented to interpolate between neighboring slices in a grey-scale tomographic data set. Spatial correspondence between adjacent slices is established using a nonrigid registration algorithm based on B-splines which optimizes the normalized mutual information similarity measure. Linear interpolation of the image intensities is then carried out along the directions calculated by the registration algorithm. The registration-based method is compared to both standard linear interpolation and shape-based interpolation in 20 tomographic data sets. Results show that the proposed method statistically significantly outperforms both linear and shape-based interpolation.
authors.affiliation: Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands. graeme@isi.uu.nl
authors.forename: G P
authors.initials: GP
authors.lastname: Penney
authors.forename: J A
authors.initials: JA
authors.lastname: Schnabel
authors.forename: D
authors.initials: D
authors.lastname: Rueckert
authors.forename: M A
authors.initials: MA
authors.lastname: Viergever
authors.forename: W J
authors.initials: WJ
authors.lastname: Niessen
mesh_terms: D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging; D005528:Foot / Q000000981:diagnostic imaging; D006257:Head / Q000000981:diagnostic imaging; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016014:Linear Models; D008131:London; D008279:Magnetic Resonance Imaging / Q000379:methods*; D011860:Radiography, Abdominal; D014057:Tomography, X-Ray Computed / Q000379:methods*