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000862023 037__ $$aFZJ-2019-02397
000862023 1001_ $$0P:(DE-HGF)0$$aSharib, Ali$$b0$$eCorresponding author
000862023 1112_ $$aIEEE International Symposium on Biomedical Imaging$$cBarcelona$$d2017-04-18 - 2017-04-21$$gISBI$$wSpain
000862023 245__ $$aELASTIC REGISTRATION OF HIGH-RESOLUTION 3D PLI DATA OF THE HUMAN BRAIN
000862023 260__ $$c2017
000862023 300__ $$a1-5
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000862023 520__ $$aWe introduce a new approach for the elastic registration ofhigh-resolution 3D polarized light imaging (3D PLI) data ofhistological sections of the human brain. For accurate regis-tration of different types of 3D PLI modalities, we proposea novel intensity similarity measure that is based on a least-squares formulation of normalized cross-correlation. More-over, we present a fully automatic registration pipeline forrigid and elastic registration of high-resolution 3D PLI imageswith a blockface reference including a preprocessing step. Wehave successfully evaluated our approach using manually ob-tained ground truth for five sections of a human brain and ex-perimentally compared it with previous approaches. We alsopresent experimental results for 60 brain sections.
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000862023 7001_ $$0P:(DE-Juel1)131632$$aAxer, Markus$$b2$$ufzj
000862023 7001_ $$0P:(DE-Juel1)131642$$aGrässel, David$$b3$$ufzj
000862023 7001_ $$0P:(DE-Juel1)157671$$aSchlömer, Philipp$$b4$$ufzj
000862023 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b5$$ufzj
000862023 7001_ $$0P:(DE-HGF)0$$aEils$$b6
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