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Laves, Max-Heinrich [VerfasserIn]; Schoob, Andreas [VerfasserIn]; Kahrs, Lüder Alexander [VerfasserIn]; Pfeiffer, Tom [VerfasserIn]; Huber, Robert [VerfasserIn]; Ortmaier, Tobias [VerfasserIn]; Webster, Robert J. III. [VerfasserIn]; Fei, Baowei [VerfasserIn]

Feature tracking for automated volume of interest stabilization on 4D-OCT images - [published Version]

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  • Medientyp: E-Artikel; Sonstige Veröffentlichung
  • Titel: Feature tracking for automated volume of interest stabilization on 4D-OCT images
  • Beteiligte: Laves, Max-Heinrich [VerfasserIn]; Schoob, Andreas [VerfasserIn]; Kahrs, Lüder Alexander [VerfasserIn]; Pfeiffer, Tom [VerfasserIn]; Huber, Robert [VerfasserIn]; Ortmaier, Tobias [VerfasserIn]; Webster, Robert J. III. [VerfasserIn]; Fei, Baowei [VerfasserIn]
  • Erschienen: Bellingham, Wash. : SPIE, 2017
  • Erschienen in: Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling : 14-16 February 2017, Orlando, Florida, United States ; Proceedings of SPIE 10135 (2017)
  • Ausgabe: published Version
  • Sprache: Englisch
  • DOI: https://doi.org/10.15488/2540; https://doi.org/10.1117/12.2255090
  • ISBN: 978-1-5106-0715-6
  • ISSN: 0277-786X
  • Schlagwörter: Optical coherence tomography ; Magnetic resonance imaging ; Tomography ; Robotics ; Feature tracking ; Medical imaging ; Anatomical structures ; Computerized tomography ; Feature-tracking ; Konferenzschrift ; Image segmentation ; Optical tomography ; Volumetric rendering ; Region of interest ; Volume of interest ; Slab mills ; Maximum intensity projection ; 4D imaging ; Tracking performance
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  • Beschreibung: A common representation of volumetric medical image data is the triplanar view (TV), in which the surgeon manually selects slices showing the anatomical structure of interest. In addition to common medical imaging such as MRI or computed tomography, recent advances in the field of optical coherence tomography (OCT) have enabled live processing and volumetric rendering of four-dimensional images of the human body. Due to the region of interest undergoing motion, it is challenging for the surgeon to simultaneously keep track of an object by continuously adjusting the TV to desired slices. To select these slices in subsequent frames automatically, it is necessary to track movements of the volume of interest (VOI). This has not been addressed with respect to 4DOCT images yet. Therefore, this paper evaluates motion tracking by applying state-of-the-art tracking schemes on maximum intensity projections (MIP) of 4D-OCT images. Estimated VOI location is used to conveniently show corresponding slices and to improve the MIPs by calculating thin-slab MIPs. Tracking performances are evaluated on an in-vivo sequence of human skin, captured at 26 volumes per second. Among investigated tracking schemes, our recently presented tracking scheme for soft tissue motion provides highest accuracy with an error of under 2.2 voxels for the first 80 volumes. Object tracking on 4D-OCT images enables its use for sub-epithelial tracking of microvessels for image-guidance. © 2017 SPIE.
  • Zugangsstatus: Freier Zugang