Reduction of Beam-Hardening Artifacts in X-Ray CT

Menvielle, Nathalie; Goussard, Yves; Orban, Dominique; Soulez, Gilles

doi:10.1109/iembs.2005.1616814

Cited by 35 publications

(32 citation statements)

References 10 publications

(7 reference statements)

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“…As a result of this primary (non object recognition based) objective two additional consequences are suffered within the imagery: 1) the presence of metal items causes significant artefacts within the imaging Although prior work has looked at the removal of metal artefacts in medical CT imagery [9,10,14] this has not been considered at the present time within this work. Additionally we recognize that the poor resolution gives rise to stair step artefacts [4,22].…”

Section: Complex Ct Volumetric Imagerymentioning

confidence: 67%

Object Recognition using 3D SIFT in Complex CT Volumes

Flitton¹,

Breckon²,

Bouallagu³

2010

Procedings of the British Machine Vision Conference 2010

101

116

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The automatic detection of objects within complex volumetric imagery is becoming of increased interest due to the use of dual energy Computed Tomography (CT) scanners as an aviation security deterrent. These devices produce a volumetric image akin to that encountered in prior medical CT work but in this case we are dealing with a complex multi-object volumetric environment including significant noise artefacts. In this work we look at the application of the recent extension to the seminal SIFT approach to the 3D volumetric recognition of rigid objects within this complex volumetric environment. A detailed overview of the approach and results when applied to a set of exemplar CT volumetric imagery is presented.

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Section: Complex Ct Volumetric Imagerymentioning

confidence: 67%

Object Recognition using 3D SIFT in Complex CT Volumes

Flitton¹,

Breckon²,

Bouallagu³

2010

Procedings of the British Machine Vision Conference 2010

101

116

View full text Add to dashboard Cite

show abstract

“…The reconstruction algorithms require similar spatial averages of adjacent attenuation coefficients. When these averages are widely disparate, as when there is a sharp gradient of attenuation, object blooming artifacts are created, irregularly overemphasizing the high-density object [2].…”

Section: Explanationmentioning

confidence: 99%

Novel technique for addressing streak artifact in gated dual-source MDCT angiography utilizing ECG-editing

Meyer

Boll

2008

Eur Radiol

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Streak artifact is an important source of image degradation in computed tomographic imaging. In coronary MDCT angiography, streak artifact from pacemaker leads in the SVC can render segments of the right coronary artery uninterpretable. With current technology in clinical practice, there is no effective way to eliminate streak artifact in coronary MDCT angiography entirely. We propose a technique to minimize the impact of streak artifact in retrospectively gated coronary MDCT angiography by utilizing small shifts in the reconstruction window. In our experience, previously degraded portions of the coronary vasculature were able to be well evaluated using this technique.

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“…The idea is similar to the approach in. 4 Therefore, the algorithm can be applied to datasets with multiple materials without significantly increasing computational costs (forward and backward projections), while having a relatively easier optimization problem since only the density map is changed in the iterations.…”

Section: Modified Optimization Problemmentioning

confidence: 99%

“…3 -20 energy bins have been used both in simulations and phantom studies. [2][3][4] In this study, we want to find a strategy that uses the least amount of information (energy bins) to effectively represent the full spectrum.…”

Section: Spectrum Binningmentioning

confidence: 99%

See 1 more Smart Citation

A practical statistical polychromatic image reconstruction for computed tomography using spectrum binning

Yang

Maier

et al. 2014

SPIE Proceedings

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Polychromatic statistical reconstruction algorithms have very high computational demands due to the difficulty of the optimization problems and the large number of spectrum bins. We want to develop a more practical algorithm that has a simpler optimization problem, a faster numerical solver, and requires only a small amount of prior knowledge. In this paper, a modified optimization problem for polychromatic statistical reconstruction algorithms is proposed. The modified optimization problem utilizes the idea of determining scanned materials based on a first pass FBP reconstruction to fix the ratios between photoelectric and Compton scattering components of all image pixels. The reconstruction of a density image is easy to solve by a separable quadratic surrogate algorithm that is also applicable to the multi-material case. In addition, a spectrum binning method is introduced so that the full spectrum information is not required. The energy bins sizes and attenuations are optimized based on the true spectrum and object. With these approximations, the expected line integral values using only a few energy bins are very closed to the true polychromatic values. Thus both the problem size and computational demand caused by the large number of energy bins that are typically used to model a full spectrum are reduced. Simulation showed that three energy bins using the generalized spectrum binning method could provide an accurate approximation of the polychromatic X-ray signals. The average absolute error of the logarithmic detector signal is less than 0.003 for a 120 kVp spectrum. The proposed modified optimization problem and spectrum binning approach can effectively suppress beam hardening artifacts while providing low noise images.

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Reduction of Beam-Hardening Artifacts in X-Ray CT

Cited by 35 publications

References 10 publications

Object Recognition using 3D SIFT in Complex CT Volumes

Object Recognition using 3D SIFT in Complex CT Volumes

Novel technique for addressing streak artifact in gated dual-source MDCT angiography utilizing ECG-editing

A practical statistical polychromatic image reconstruction for computed tomography using spectrum binning

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