Journal
EXPERIMENTAL DERMATOLOGY
Volume 19, Issue 7, Pages 689-691Publisher
WILEY
DOI: 10.1111/j.1600-0625.2010.01100.x
Keywords
basal cell carcinoma; tumour invasion front; histological serial sections; three-dimensional tissue reconstruction; digital image processing
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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.
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