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A reconstruction algorithms for helical cone-beam SPECT

Journal Article · · IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States)
DOI:https://doi.org/10.1109/23.256718· OSTI ID:6057740
; ;  [1]
  1. Univ. of Utah, Salt Lake City, UT (United States). Dept. of Radiology
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Cone-beam SPECT provides improved sensitivity for imaging small organs like the brain and heart. However, current cone-beam tomography with the focal point traversing a planar orbit does not acquire sufficient data to give an accurate reconstruction. In this paper, the authors employ a data-acquisition method which obtains complete data for cone-beam SPECT by simultaneously rotating the gamma camera and translating the patient bed, so that cone-beam projections can be obtained with the focal point traversing a helix surrounding the patient. An implementation of Grangeat's algorithm for helical cone-beam projections is developed. The algorithm requires a rebinning step to convert cone-beam data to parallel-beam data which are then reconstructed using the 3D Radon inversion. A fast new rebinning scheme is developed which uses all of the detected data to reconstruct the image and properly normalizes any multiply scanned data. This algorithm is shown to produce less artifacts than the commonly used Feldkamp algorithm when applied to either a circular planar orbit or a helical orbit acquisition. The algorithm can easily be extended to any arbitrary orbit.

OSTI ID:
6057740
Journal Information:
IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States) Vol. 40:4 part 1; ISSN 0018-9499; ISSN IETNAE
Country of Publication:
United States
Language:
English

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Related Subjects

550601* -- Medicine-- Unsealed Radionuclides in Diagnostics
62 RADIOLOGY AND NUCLEAR MEDICINE
ACCURACY
ALGORITHMS
COMPUTERIZED TOMOGRAPHY
DATA ACQUISITION
DIAGNOSTIC TECHNIQUES
EMISSION COMPUTED TOMOGRAPHY
IMAGE PROCESSING
MATHEMATICAL LOGIC
OPTIMIZATION
PROCESSING
SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY
TOMOGRAPHY