title: Image-processing chain for a three-dimensional reconstruction of basal cell carcinomas.
abstract: Basal cell carcinoma (BCC) is the most common malignant skin cancer. For a deeper insight into the specific growth patterns of the tumorous tissue in BCC, we have focused on the development of a novel automated image-processing chain for 3D reconstruction of BCC using histopathological serial sections. For fully automatic delineation of the tumor within the tissue, we apply a fuzzy c-means segmentation method. We used a novel multi-grid form of the non-linear registration introduced by Braumann and Kuska in 2005 effectively suppressing registration runs into local minima (possibly caused by diffuse nature of the tumor). Our method was successfully applied in a proof-of-principle study for automated reconstruction.
authors.forename: Patrick
authors.initials: P
authors.lastname: Scheibe
authors.forename: Ulf-Dietrich
authors.initials: UD
authors.lastname: Braumann
authors.forename: Jens-Peer
authors.initials: JP
authors.lastname: Kuska
authors.forename: Markus
authors.initials: M
authors.lastname: Löffler
authors.forename: Jan C
authors.initials: JC
authors.lastname: Simon
authors.forename: Uwe
authors.initials: U
authors.lastname: Paasch
authors.forename: Tino
authors.initials: T
authors.lastname: Wetzig
mesh_terms: D002280:Basal Cell Carcinoma / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009361:Neoplasm Invasiveness / Q000473:pathology; D012878:Skin Neoplasms / Q000473:pathology*; D012985:Software Design