%0 Journal Article
%A Chicherova, N.
%A Hieber, Simone
%A Khimchenko, A.
%A Bikis, C.
%A Mueller, Bert
%A Cattin, P.
%T Automatic deformable registration of histological slides to μCT volume data
%J Journal of microscopy
%V 271
%N 1
%@ 0022-2720
%C Oxford [u.a.]
%I Wiley-Blackwell
%M PUBDB-2019-00198
%P 49 - 61
%D 2018
%Z (c)The Authors Journal of Microscopy (c) Royal Microscopical Society; Post referee fulltext in progress 2; Embargo 12 months from publication
%X Localizing a histological section in the three‐dimensional dataset of a different imaging modality is a challenging 2D‐3D registration problem. In the literature, several approaches have been proposed to solve this problem; however, they cannot be considered as fully automatic. Recently, we developed an automatic algorithm that could successfully find the position of a histological section in a micro computed tomography (μCT) volume. For the majority of the datasets, the result of localization corresponded to the manual results. However, for some datasets, the matching μCT slice was off the ground‐truth position. Furthermore, elastic distortions, due to histological preparation, could not be accounted for in this framework. In the current study, we introduce two optimization frameworks based on normalized mutual information, which enabled us to accurately register histology slides to volume data. The rigid approach allocated 81 
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:29533457
%U <Go to ISI:>//WOS:000435640500006
%R 10.1111/jmi.12692
%U https://bib-pubdb1.desy.de/record/418111