Registration-based interpolation.
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.
Penney
G P
GP
Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands. graeme@isi.uu.nl
Schnabel
J A
JA
Rueckert
D
D
Viergever
M A
MA
Niessen
W J
WJ
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*