Free-form image registration of human cochlear µCT data using skeleton similarity as anatomical prior

  • Authors
  • Kjer, Hans Martin; Fagertun, Jens; Vera, Sergio; Gil, Debora; González Ballester, Miguel Ángel; Paulsen, Rasmus R
  • UPF authors
  • GONZALEZ BALLESTER, MIGUEL ANGEL;
  • Type
  • Scholarly articles
  • Journal títle
  • Pattern Recognition Letters
  • Publication year
  • 2016
  • Volume
  • 76
  • Number
  • 1
  • Pages
  • 76-82
  • ISSN
  • 0167-8655
  • Publication State
  • Published
  • Abstract
  • Better understanding of the anatomical variability of the human cochlear is important for the design and function of Cochlear Implants. Proper non-rigid alignment of high-resolution cochlear ¿CT data is a challenge for the typical cubic B-spline registration model. In this paper we study one way of incorporating skeleton-based similarity as an anatomical registration prior. We extract a centerline skeleton of the cochlear spiral, and generate corresponding parametric pseudo-landmarks between samples. These correspondences are included in the cost function of a typical cubic B-spline registration model to provide a more global guidance of the alignment. The resulting registrations are evaluated using different metrics for accuracy and model behavior, and compared to the results of a registration without the prior.
  • Complete citation
  • Kjer, Hans Martin; Fagertun, Jens; Vera, Sergio; Gil, Debora; González Ballester, Miguel Ángel; Paulsen, Rasmus R. Free-form image registration of human cochlear µCT data using skeleton similarity as anatomical prior. Pattern Recognition Letters 2016; 76(1): 76-82.
Bibliometric indicators
  • 7 times cited Scopus
  • 5 times cited WOS
  • Índex Scimago de 0.729(2016)