Literature DB >> 11204847

Maximum-likelihood transmission image reconstruction for overlapping transmission beams.

D F Yu1, J A Fessler, E P Ficaro.   

Abstract

In many transmission imaging geometries, the transmitted "beams" of photons overlap on the detector, such that a detector element may record photons that originated in different sources or source locations and thus traversed different paths through the object. Examples include systems based on scanning line sources or on multiple parallel rod sources. The overlap of these beams has been disregarded by both conventional analytical reconstruction methods as well as by previous statistical reconstruction methods. We propose a new algorithm for statistical image reconstruction of attenuation maps that explicitly accounts for overlapping beams in transmission scans. The algorithm is guaranteed to monotonically increase the objective function at each iteration. The availability of this algorithm enables the possibility of deliberately increasing the beam overlap so as to increase count rates. Simulated single photon emission tomography transmission scans based on a multiple line source array demonstrate that the proposed method yields improved resolution/noise tradeoffs relative to "conventional" reconstruction algorithms, both statistical and nonstatistical.

Mesh:

Year:  2000        PMID: 11204847     DOI: 10.1109/42.896785

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  9 in total

1.  Penalized-Likelihood Reconstruction With High-Fidelity Measurement Models for High-Resolution Cone-Beam Imaging.

Authors:  Steven Tilley; Matthew Jacobson; Qian Cao; Michael Brehler; Alejandro Sisniega; Wojciech Zbijewski; J Webster Stayman
Journal:  IEEE Trans Med Imaging       Date:  2018-04       Impact factor: 10.048

2.  An expanded theoretical treatment of iteration-dependent majorize-minimize algorithms.

Authors:  Matthew W Jacobson; Jeffrey A Fessler
Journal:  IEEE Trans Image Process       Date:  2007-10       Impact factor: 10.856

3.  Iterative CT Reconstruction using Models of Source and Detector Blur and Correlated Noise.

Authors:  Steven Tilley; Jeffrey H Siewerdsen; J Webster Stayman
Journal:  Conf Proc Int Conf Image Form Xray Comput Tomogr       Date:  2014

4.  Nonlinear Statistical Reconstruction for Flat-Panel Cone-Beam CT with Blur and Correlated Noise Models.

Authors:  Steven Tilley; Jeffrey H Siewerdsen; Wojciech Zbijewski; J Webster Stayman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-22

5.  Generalized Least-Squares CT Reconstruction with Detector Blur and Correlated Noise Models.

Authors:  J Webster Stayman; Wojciech Zbijewski; Steven Tilley; Jeffrey Siewerdsen
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-19

6.  Blind deconvolution in model-based iterative reconstruction for CT using a normalized sparsity measure.

Authors:  Lorenz Hehn; Steven Tilley; Franz Pfeiffer; J Webster Stayman
Journal:  Phys Med Biol       Date:  2019-10-31       Impact factor: 3.609

7.  PIRPLE: a penalized-likelihood framework for incorporation of prior images in CT reconstruction.

Authors:  J Webster Stayman; Hao Dang; Yifu Ding; Jeffrey H Siewerdsen
Journal:  Phys Med Biol       Date:  2013-10-10       Impact factor: 3.609

8.  Model-based iterative reconstruction for flat-panel cone-beam CT with focal spot blur, detector blur, and correlated noise.

Authors:  Steven Tilley; Jeffrey H Siewerdsen; J Webster Stayman
Journal:  Phys Med Biol       Date:  2015-12-09       Impact factor: 3.609

Review 9.  Modelling the physics in the iterative reconstruction for transmission computed tomography.

Authors:  Johan Nuyts; Bruno De Man; Jeffrey A Fessler; Wojciech Zbijewski; Freek J Beekman
Journal:  Phys Med Biol       Date:  2013-06-05       Impact factor: 3.609

  9 in total

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