TY  - JOUR
AU  - Chicherova, N.
AU  - Hieber, Simone
AU  - Khimchenko, A.
AU  - Bikis, C.
AU  - Mueller, Bert
AU  - Cattin, P.
TI  - Automatic deformable registration of histological slides to μCT volume data
JO  - Journal of microscopy
VL  - 271
IS  - 1
SN  - 0022-2720
CY  - Oxford [u.a.]
PB  - Wiley-Blackwell
M1  - PUBDB-2019-00198
SP  - 49 - 61
PY  - 2018
N1  - (c)The Authors Journal of Microscopy (c) Royal Microscopical Society; Post referee fulltext in progress 2; Embargo 12 months from publication
AB  - 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 
LB  - PUB:(DE-HGF)16
C6  - pmid:29533457
UR  - <Go to ISI:>//WOS:000435640500006
DO  - DOI:10.1111/jmi.12692
UR  - https://bib-pubdb1.desy.de/record/418111
ER  -