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Authors: Rainer Pielot 1 ; Udo Seiffert 2 ; Bertram Manz 3 ; Diana Weier 1 ; Frank Volke 3 ; Falk Schreiber 1 and Winfriede Weschke 1

Affiliations: 1 Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK), Germany ; 2 Fraunhofer Institut für Fabrikbetrieb und -automatisierung (IFF), Germany ; 3 Fraunhofer Institut für Biomedizinische Technik (IBMT), Germany

ISBN: 978-989-8111-69-2

Keyword(s): NMR, Multimodal, Registration, Alignment.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Image Registration ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control ; Structural and Syntactic Approach

Abstract: Representation of developmental gradients in biological structures requires visualization of storage compounds, metabolites or mRNA hybridization patterns in a 3D morphological framework. NMR imaging can generate such a 3D framework by non-invasive scanning of living structures. Histology provides the distribution of developmental markers as 2D cross-sections. Multimodal alignment tries to put such different image modalities into correspondence. Here we compare different methods for rigid registration of 3D NMR datasets and 2D cross-sections of developing barley grains. As metrics for similarity measurements mutual information, cross correlation and overlap index are used. In addition, different filters are applied to the images before the alignment. The algorithms are parallelized, partially vectorized and implemented on the Cell Broadband Engine processor in a Playstation® 3. Evaluation is done by a comparison of the results to a manually defined gold standard of a NMR dataset and a corresponding 2D cross-section of the same grain. The results show, that best alignment is achieved by application of mutual information on sobel-filtered images and, compared to the implementation on a standard single-core CPU, the computation is accelerated by a factor up to 1.95. (More)

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Paper citation in several formats:
Pielot R.; Seiffert U.; Manz B.; Weier D.; Volke F.; Schreiber F.; Weschke W. and (2009). MULTIMODAL REGISTRATION OF NMR-VOLUMES AND HISTOLOGICAL CROSS-SECTIONS OF BARLEY GRAINS ON THE CELL BROADBAND ENGINE PROCESSOR.In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 241-244. DOI: 10.5220/0001767102410244

@conference{visapp09,
author={Rainer Pielot and Udo Seiffert and Bertram Manz and Diana Weier and Frank Volke and Falk Schreiber and Winfriede Weschke},
title={MULTIMODAL REGISTRATION OF NMR-VOLUMES AND HISTOLOGICAL CROSS-SECTIONS OF BARLEY GRAINS ON THE CELL BROADBAND ENGINE PROCESSOR},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={241-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001767102410244},
isbn={978-989-8111-69-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - MULTIMODAL REGISTRATION OF NMR-VOLUMES AND HISTOLOGICAL CROSS-SECTIONS OF BARLEY GRAINS ON THE CELL BROADBAND ENGINE PROCESSOR
SN - 978-989-8111-69-2
AU - Pielot, R.
AU - Seiffert, U.
AU - Manz, B.
AU - Weier, D.
AU - Volke, F.
AU - Schreiber, F.
AU - Weschke, W.
PY - 2009
SP - 241
EP - 244
DO - 10.5220/0001767102410244

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