TY - GEN
T1 - Coded aperture x-ray diffraction imaging with transmission computed tomography side-information
AU - Odinaka, Ikenna
AU - Greenberg, Joel A.
AU - Kaganovsky, Yan
AU - Holmgren, Andrew
AU - Hassan, Mehadi
AU - Politte, David G.
AU - O'Sullivan, Joseph A.
AU - Carin, Lawrence
AU - Brady, David J.
N1 - Publisher Copyright:
© 2016 SPIE.
PY - 2016
Y1 - 2016
N2 - Coded aperture X-ray diffraction (coherent scatter spectral) imaging provides fast and dose-efficient measurements of the molecular structure of an object. The information provided is spatially-dependent and material-specific, and can be utilized in medical applications requiring material discrimination, such as tumor imaging. However, current coded aperture coherent scatter spectral imaging system assume a uniformly or weakly attenuating object, and are plagued by image degradation due to non-uniform self-attenuation. We propose accounting for such non-uniformities in the self-attenuation by utilizing an X-ray computed tomography (CT) image (reconstructed attenuation map). In particular, we present an iterative algorithm for coherent scatter spectral image reconstruction, which incorporates the attenuation map, at different stages, resulting in more accurate coherent scatter spectral images in comparison to their uncorrected counterpart. The algorithm is based on a spectrally grouped edge-preserving regularizer, where the neighborhood edge weights are determined by spatial distances and attenuation values.
AB - Coded aperture X-ray diffraction (coherent scatter spectral) imaging provides fast and dose-efficient measurements of the molecular structure of an object. The information provided is spatially-dependent and material-specific, and can be utilized in medical applications requiring material discrimination, such as tumor imaging. However, current coded aperture coherent scatter spectral imaging system assume a uniformly or weakly attenuating object, and are plagued by image degradation due to non-uniform self-attenuation. We propose accounting for such non-uniformities in the self-attenuation by utilizing an X-ray computed tomography (CT) image (reconstructed attenuation map). In particular, we present an iterative algorithm for coherent scatter spectral image reconstruction, which incorporates the attenuation map, at different stages, resulting in more accurate coherent scatter spectral images in comparison to their uncorrected counterpart. The algorithm is based on a spectrally grouped edge-preserving regularizer, where the neighborhood edge weights are determined by spatial distances and attenuation values.
KW - X-ray diffraction imaging
KW - attenuation correction
KW - coded aperture x-ray imaging
KW - coherent scatter and attenuation fusion
KW - coherent scatter imaging
KW - group edge-preserving regularizer
KW - material identification
KW - x-ray CT imaging
UR - http://www.scopus.com/inward/record.url?scp=84978870832&partnerID=8YFLogxK
U2 - 10.1117/12.2216915
DO - 10.1117/12.2216915
M3 - Conference contribution
AN - SCOPUS:84978870832
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2016
A2 - Kontos, Despina
A2 - Lo, Joseph Y.
A2 - Flohr, Thomas G.
PB - SPIE
T2 - Medical Imaging 2016: Physics of Medical Imaging
Y2 - 28 February 2016 through 2 March 2016
ER -