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Title: Respiratory compensation in projection imaging using a magnification and displacement model

Journal Article · · IEEE Transactions on Medical Imaging
DOI:https://doi.org/10.1109/42.500141· OSTI ID:260432
;  [1]; ;  [2]
  1. General Electric Medical Systems, Milwaukee, WI (United States)
  2. Univ. of Washington, Seattle, WA (United States). Dept. of Radiology

Respiratory motion during the collection of computed tomography (CT) projections generates structured artifacts and a loss of resolution that can render the scans unusable. This motion is problematic in scans of those patients who cannot suspend respiration, such as the very young or incubated patients. In this paper, the authors present an algorithm that can be used to reduce motion artifacts in CT scans caused by respiration. An approximate model for the effect of respiration is that the object cross section under interrogation experiences time-varying magnification and displacement along two axes. Using this model an exact filtered backprojection algorithm is derived for the case of parallel projections. The result is extended to generate an approximate reconstruction formula for fan-beam projections. Computer simulations and scans of phantoms on a commercial CT scanner validate the new reconstruction algorithms for parallel and fan-beam projections. Significant reduction in respiratory artifacts is demonstrated clinically when the motion model is satisfied. The method can be applied to projection data used in CT single photon emission computed tomography (SPECT), positron emission tomography (PET), and magnetic resonance imaging (MRI).

OSTI ID:
260432
Journal Information:
IEEE Transactions on Medical Imaging, Vol. 15, Issue 3; Other Information: PBD: Jun 1996
Country of Publication:
United States
Language:
English

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