Creating consistent 3D multi-modality data sets from autoradiographic and histological images of the rat brain

  • Volumetric representations of autoradiographic and histological images gain ever more interest as a base to interpret data obtained with /spl mu/-imaging devices like microPET. Beyond supporting spatial orientation within rat brains especially autoradiographic images may serve as a base to quantitatively evaluate the complex uptake patterns of microPET studies with receptor ligands or tumor tracers. They may also serve for the development of rat brain atlases or data models, which can be explored during further image analysis or simulation studies. In all cases a consistent spatial representation of the rat brain, i.e. its anatomy and the corresponding quantitative uptake pattern, is required. This includes both, a restacking of the individual two-dimensional images and the exact registration of the respective volumes. We propose strategies how these volumes can be created in a consistent way and trying to limit the requirements on the circumstances during data acquisition, i.e. being independent from other sources like video imaging of the block face prior to cutting or high resolution micro-X-ray CT or micro MRI.

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Metadaten
Author:Uwe Pietrzyk, Dagmar Bauer, Andreas Vieten, Andreas Bauer, Karl-Josef Langen, Karl Zilles, Christoph PalmORCiDGND
DOI:https://doi.org/10.1109/NSSMIC.2004.1466754
Parent Title (English):IEEE Nuclear Science Symposium Conference Record
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2004
Release Date:2020/05/13
Tag:High-resolution imaging
Analytical models; Anatomy; Brain modeling; Computed tomography; Data acquisition; Data models; Image analysis; Image resolution; Neoplasms
Volume:6
First Page:4001
Last Page:4003
Institutes:Fakult├Ąt Informatik und Mathematik
Regensburg Medical Image Computing - ReMIC
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke
Publication:Externe Publikationen