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Sensor fusion in image reconstruction

Journal Article · · IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States)
DOI:https://doi.org/10.1109/23.289375· OSTI ID:6200568
; ; ;  [1];  [2];  [3];  [4]
  1. Chicago Univ., IL (United States). Dept. of Radiology
  2. Chicago Univ., IL (United States). Dept. of Statistics
  3. Dept. of Radiology, Univ. of Minnesota (US)
  4. Inst. of Statistics and Decision Sciences, Duke Univ. (US)

Various medical imaging modalities offer different but often complementary information. For example, x-ray computed tomography (CT) and magnetic resonance (MR) images provide structural information with high spatial resolution; while positron emission tomography (PET) and single-photon emission computed tomography (SPECT) give functional information with less desirable image quality. Integration of images from multiple modalities opens new avenues for developing innovative image reconstruction algorithms that can provide improved image quality. This paper reports on a Bayesian method for eCT image reconstruction developed to incorporate a priori information derived from the spatially-correlated CT and MR images. These anatomic maps, showing boundaries between regions that exhibit distinctly different characteristics, can be incorporated in the Bayesian method, this improving the spatial resolution and noise properties. The correlated structural information can be used also as templates for deriving correction factors for the effect of photon attenuation, this improving the quantitative accuracy and noise properties. Results from computer simulation studies show significant improvements in image quality.

OSTI ID:
6200568
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. 38:2; ISSN 0018-9499; ISSN IETNA
Country of Publication:
United States
Language:
English