title: A comparative study on manual and automatic slice-to-volume registration of CT images.
abstract: In order to assess the clinical relevance of a slice-to-volume registration algorithm, this technique was compared to manual registration. Reformatted images obtained from a diagnostic CT examination of the lower abdomen were reviewed and manually registered by 41 individuals. The results were refined by the algorithm. Furthermore, a fully automatic registration of the single slices to the whole CT examination, without manual initialization, was also performed. The manual registration error for rotation and translation was found to be 2.7+/-2.8 degrees and 4.0+/-2.5 mm. The automated registration algorithm significantly reduced the registration error to 1.6+/-2.6 degrees and 1.3+/-1.6 mm (p = 0.01). In 3 of 41 (7.3%) registration cases, the automated registration algorithm failed completely. On average, the time required for manual registration was 213+/-197 s; automatic registration took 82+/-15 s. Registration was also performed without any human interaction. The resulting registration error of the algorithm without manual pre-registration was found to be 2.9+/-2.9 degrees and 1.1+/-0.2 mm. Here, a registration took 91+/-6 s, on average. Overall, the automated registration algorithm improved the accuracy of manual registration by 59% in rotation and 325% in translation. The absolute values are well within a clinically relevant range.
authors.affiliation: Center for Biomedical Engineering and Physics, Medical University Vienna, Vienna, Austria.
authors.forename: Laura
authors.initials: L
authors.lastname: Frühwald
authors.forename: Joachim
authors.initials: J
authors.lastname: Kettenbach
authors.forename: Michael
authors.initials: M
authors.lastname: Figl
authors.forename: Johann
authors.initials: J
authors.lastname: Hummel
authors.forename: Helmar
authors.initials: H
authors.lastname: Bergmann
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Birkfellner
mesh_terms: D000465:Algorithms; D001331:Automation; D001706:Biopsy; D003952:Diagnostic Imaging / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D015588:Observer Variation; D010363:Pattern Recognition, Automated / Q000379:methods; D011871:Radiology / Q000379:methods; D012016:Reference Values; D015203:Reproducibility of Results; D014057:Tomography, X-Ray Computed / Q000379:methods*