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Verfasst von:Tektonidis, Marco [VerfasserIn]   i
 Rohr, Karl [VerfasserIn]   i
Titel:Diffeomorphic multi-frame non-rigid registration of cell nuclei in 2D and 3D live cell images
Verf.angabe:Marco Tektonidis and Karl Rohr
E-Jahr:2017
Jahr:16 January 2017
Umfang:13 S.
Fussnoten:Gesehen am 16.07.2018
Titel Quelle:Enthalten in: Institute of Electrical and Electronics EngineersIEEE transactions on image processing
Ort Quelle:New York, NY : IEEE, 1992
Jahr Quelle:2017
Band/Heft Quelle:26(2017), 3, Seite 1405-1417
ISSN Quelle:1941-0042
Abstract:To gain a better understanding of cellular and molecular processes, it is important to quantitatively analyze the motion of subcellular particles in live cell microscopy image sequences. Since, generally, the subcellular particles move and cell nuclei move as well as deform, it is important to decouple the movement of particles from that of the cell nuclei using non-rigid registration methods. We have developed a diffeomorphic multi-frame approach for non-rigid registration of cell nuclei in 2D and 3D live cell fluorescence microscopy images. Our non-rigid registration approach is based on local optic flow estimation, exploits information from multiple consecutive image frames, and determines diffeomorphic transformations in the log-domain, which allows efficient computation of the inverse transformations. To register single images of an image sequence to a reference image, we use a temporally weighted mean image, which is constructed based on inverse transformations and multiple consecutive frames. Using multiple consecutive frames improves the registration accuracy compared to pairwise registration, and using a temporally weighted mean image significantly reduces the computation time compared with previous work. In addition, we use a flow boundary preserving method for regularization of computed deformation vector fields, which prevents from over-smoothing compared to standard Gaussian filtering. Our approach has been successfully applied to 2D and 3D synthetic as well as real live cell microscopy image sequences, and an experimental comparison with non-rigid pairwise, multi-frame, and temporal groupwise registration has been carried out.
DOI:doi:10.1109/TIP.2017.2653360
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1109/TIP.2017.2653360
 DOI: https://doi.org/10.1109/TIP.2017.2653360
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:fluorescence
 Microscopy
 optical microscopy
 Three-dimensional displays
 2D live cell fluorescence microscopy images
 3D live cell fluorescence microscopy images
 Biomedical image processing
 biomedical optical imaging
 cell nuclei
 cellular biophysics
 cellular processes
 computed deformation vector fields
 diffeomorphic multiframe nonrigid registration
 diffeomorphic registration
 diffeomorphic transformations
 flow boundary preserving method
 image registration
 image sequence analysis
 image sequences
 Image sequences
 inverse transformations
 inverse transforms
 local optic flow estimation
 log-domain
 medical image processing
 microscopy
 molecular processes
 multiple consecutive frames
 multiple consecutive image frames
 nonrigid pairwise registration
 Optical imaging
 Optical microscopy
 over-smoothing
 particle movement
 real live cell microscopy image sequences
 reference image
 registration accuracy
 Shape
 standard Gaussian filtering
 subcellular particle motion
 temporal groupwise registration
 temporally weighted mean image
 Two dimensional displays
K10plus-PPN:1577641523
Verknüpfungen:→ Zeitschrift

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