DocumentCode
1139440
Title
Quantitative reconstruction from truncated projections in classical tomography
Author
Clackdoyle, Rolf ; Noo, Frédéric ; Guo, Junyu ; Roberts, John A.
Author_Institution
Dept. of Radiol., Univ. of Utah, Salt Lake City, UT, USA
Volume
51
Issue
5
fYear
2004
Firstpage
2570
Lastpage
2578
Abstract
We prove that some kinds of truncation are entirely admissible for region-of-interest (ROI) reconstructions in classical tomography, contrary to the long-standing folklore that two-dimensional tomography is "all or nothing". The proof is based on a link between the Hilbert transforms of parallel beam and fanbeam projections, which was recently used by Noo et al. to achieve ROI image reconstruction from fanbeam data on less than a short scan, assuming no fanbeam truncation occurs. We extend the use of this link to achieve quantitative ROI reconstruction in the presence of truncated projections. Our results are illustrated with a specific example of a parallel-hole detector of length 24 cm and an elliptical object of 15- and 30-cm axes. The detector rotates 180° about a point on the long axis at 11.25 cm from the right-hand-side boundary. The right half of the ellipse, the ROI in this case, is not truncated, although the left side is truncated in many views. The ROI can be quantitatively reconstructed, as is verified by our simulation. We also show that under certain conditions, ROI reconstruction is possible with truncation on both sides of the field of view. These results bring new understanding to the fundamental mechanisms of tomography. Benefits of this new understanding can be anticipated in many classical tomography applications, particularly when the projections of the object are too wide for the available detector.
Keywords
Hilbert transforms; computerised tomography; image reconstruction; medical image processing; tomography; Hilbert transforms; classical tomography; elliptical object; fan-beam projections; fanbeam truncation; parallel beam; parallel-hole detector; quantitative reconstruction; region-of-interest reconstructions; right-hand-side boundary; truncated projections; two-dimensional tomography; Cities and towns; Computed tomography; Density functional theory; Detectors; Geometry; Image reconstruction; Nuclear medicine; Object detection; Positron emission tomography; Radiology; Reconstruction; tomography; truncated data;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/TNS.2004.835781
Filename
1344379
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