3D tomographic reconstruction of binary images from cone beam projections: a fast level set approach

This paper addresses 3D tomographic reconstruction of a binary image from a small number of cone-beam projections. Under the binary hypothesis, the object may be conveniently represented by its surfaces, and the reconstruction problem solved using active contour methods. To handle complex topologies...

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Bibliographic Details
Published inProceedings IEEE International Symposium on Biomedical Imaging pp. 677 - 680
Main Authors Bruandet, J.-P., Francoise, P., Dinten, J.-M., Michel, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Active contours
Biological system modeling
Image reconstruction
Integral equations
Level set
Statistical analysis
Surface reconstruction
Tomography
Topology
X-ray imaging
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Summary:This paper addresses 3D tomographic reconstruction of a binary image from a small number of cone-beam projections. Under the binary hypothesis, the object may be conveniently represented by its surfaces, and the reconstruction problem solved using active contour methods. To handle complex topologies, we formalize the problem in the framework of level sets using implicit descriptions of object boundaries. The expression of a velocity including projection data is derived in this context. In addition, regularization is introduced in order to manage both lack of data and noise. A fast implementation of the level set method is described. Results are presented both from realistic simulations and physical data.
ISBN:078037584X
9780780375840
DOI:10.1109/ISBI.2002.1029348