Correcting organ motion artifacts in x-ray CT medical imaging systems by adaptive processing. I. Theory


  1. Dhanatwari, A.C.
  2. Stergiopoulos, S.
  3. Iakovidis, I.
Corporate Authors
Defence and Civil Inst of Environmental Medicine, Downsview ONT (CAN)
X-ray CT scanners provide images of transverse cross sections of the human body from a large number of projections. During the data acquisition process, which usually takes about 1 s, motion effects such as respiration, cardiac motion, and patient restlessness produce artifacts that appear as blurring, doubling, and distortion in the reconstructed images, and may lead to inaccurate diagnosis. To address this problem several processing techniques have been proposed that require a priori knowledge of the properties of the motion, to eliminate the motion artifacts. The approach in this paper uses a spatial overlap correlator scheme to accurately track organ motion in computed tomography imaging systems. Then, it is shown that as optimum processing scheme to remove organ motion effects is to apply adaptive interference cancellation (AIC) methods, which treat the output of the spatial overlap correlator as noise inteference at the input of the AIC process. Furthermore, an AIC method does not require any kind of periodicity of the motion effects. TRUNCATED
Medical Tomography Imaging;Organ Motion Artifacts;Spatial Overlap Correlator;Adaptive interference canceller
Report Number
DCIEM-SL-1999-100A — Scientific Literature
Date of publication
01 Aug 2001
Number of Pages
Reprinted from
Med. Phys., vol 28, no 8, 2001, p 1562-1576
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