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Journal of Biomedical Optics

Fast automatic segmentation of anatomical structures in x-ray computed tomography images to improve fluorescence molecular tomography reconstruction
Author(s): Marcus Freyer; Angelique Ale; Ralf B. Schulz; Marta Zientkowska; Vasilis Ntziachristos; Karl-Hans Englmeier
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Paper Abstract

The recent development of hybrid imaging scanners that integrate fluorescence molecular tomography (FMT) and x-ray computed tomography (XCT) allows the utilization of x-ray information as image priors for improving optical tomography reconstruction. To fully capitalize on this capacity, we consider a framework for the automatic and fast detection of different anatomic structures in murine XCT images. To accurately differentiate between different structures such as bone, lung, and heart, a combination of image processing steps including thresholding, seed growing, and signal detection are found to offer optimal segmentation performance. The algorithm and its utilization in an inverse FMT scheme that uses priors is demonstrated on mouse images.

Paper Details

Date Published: 1 May 2010
PDF: 8 pages
J. Biomed. Opt. 15(3) 036006 doi: 10.1117/1.3431101
Published in: Journal of Biomedical Optics Volume 15, Issue 3
Show Author Affiliations
Marcus Freyer, Helmholtz Zentrum München GmbH (Germany)
Angelique Ale, Technische Univ. München (Germany)
Ralf B. Schulz, Helmholtz Zentrum München GmbH (Germany)
Marta Zientkowska, Helmholtz Zentrum München GmbH (Germany)
Vasilis Ntziachristos, Helmholtz Zentrum München GmbH (Germany)
Karl-Hans Englmeier, Helmholtz Zentrum München GmbH (Germany)

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