Title :
Creating consistent 3D multi-modality data sets from autoradiographic and histological images of the rat brain
Author :
Pietrzyk, Uwe ; Bauer, Dagmar ; Vieten, Andrea ; Bauer, Andreas ; Langen, Karl-Josef ; Zilles, Karl ; Palm, Christoph
Author_Institution :
Res. Center, Inst. of Medicine, Juelich, Germany
Abstract :
Volumetric representations of autoradiographic and histological images gain ever more interest as a base to interpret data obtained with μ-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.
Keywords :
brain; cancer; data acquisition; image registration; image representation; medical image processing; positron emission tomography; tumours; 3D multimodality data sets; autoradiographic image; brain anatomy; data acquisition; data interpretion; histological image; image analysis; microPET; quantitative uptake pattern; rat brain imaging; receptor ligands; simulation studies; spatial orientation; tumor tracers; two-dimensional image restacking; video imaging; volume registration; volumetric representation; Analytical models; Anatomy; Brain modeling; Computed tomography; Data acquisition; Data models; High-resolution imaging; Image analysis; Image resolution; Neoplasms;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2004 IEEE
Print_ISBN :
0-7803-8700-7
Electronic_ISBN :
1082-3654
DOI :
10.1109/NSSMIC.2004.1466754