DocumentCode
2053270
Title
Quasi-exact region-of-interest reconstruction from helical cone-beam data
Author
Defrise, Michel ; Noo, Frederic ; Kudo, Hiroyuki
Author_Institution
Univ. Hosp. AZ-VUB, Brussels, Belgium
Volume
2
fYear
1999
fDate
1999
Firstpage
1101
Abstract
This paper presents a new algorithm for reconstruction from truncated cone-beam projections acquired with a helical motion of the X-ray source. Both approximate and exact algorithms have been proposed for this problem. Approximate methods are fast and require few interpolations; they are appropriate for the first generations of multi-row medical CT scanners for which the ratio between the pitch of the helix and the spatial resolution is sufficiently small. Exact algorithms are important for industrial scanners and for future generations of medical scanners as they can be applied with arbitrarily large values of the pitch at any resolution. We describe the zero-boundary method and demonstrate its exactness. Results are then provided demonstrating accurate reconstruction from simulated data for large pitches
Keywords
computerised tomography; image reconstruction; interpolation; medical image processing; helical X-ray source motion; helical cone-beam data; image reconstruction; long object problem; quasi-exact region-of-interest reconstruction; truncated cone-beam projections; zero-boundary method; Biomedical imaging; Computed tomography; Data acquisition; Detectors; Hospitals; Image reconstruction; Interpolation; Joining processes; Mathematics; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium, 1999. Conference Record. 1999 IEEE
Conference_Location
Seattle, WA
ISSN
1082-3654
Print_ISBN
0-7803-5696-9
Type
conf
DOI
10.1109/NSSMIC.1999.845852
Filename
845852
Link To Document