Cone Beam CT using motion-compensated algebraic reconstruction methods with limited data

Pengpan, Thanyawee; Qiu, Wei; Smith, Nathan D.; Soleimani, Masoud

doi:10.1016/j.cmpb.2011.09.007

Cited by 8 publications

(3 citation statements)

References 24 publications

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“…Research into the removal of motion artefacts in CBCT is widespread and numerous articles have been published on the subject. The most studied method to deal with motion is phase-correlated CBCT, also called 4D-CBCT (Sonke et al 2005, Purdie et al 2006, Li et al 2006, Pengpan et al 2012, OBrien et al 2016. In 4D-CBCT, projection data are binned according to respiratory phase and then the data from each bin are reconstructed separately to produce a series of images.…”

Section: Introductionmentioning

confidence: 99%

A general method for motion compensation in x-ray computed tomography

et al. 2017

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Motion during data acquisition is a known source of error in medical tomography, resulting in blur artefacts in the regions that move. It is critical to reduce these artefacts in applications such as image-guided radiation therapy as a clearer image translates into a more accurate treatment and the sparing of healthy tissue close to a tumour site. Most research in 4D x-ray tomography involving the thorax relies on respiratory phase binning of the acquired data and reconstructing each of a set of images using the limited subset of data per phase. In this work, we demonstrate a motion-compensation method to reconstruct images from the complete dataset taken during breathing without recourse to phase-binning or breath-hold techniques. As long as the motion is sufficiently well known, the new method can accurately reconstruct an image at any time during the acquisition time span. It can be applied to any iterative reconstruction algorithm.

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Section: Introductionmentioning

confidence: 99%

A general method for motion compensation in x-ray computed tomography

et al. 2017

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“…[24][25][26][27][28][29][30] SART (Simultaneous Algebraic Reconstruction Technique) is an iterative method that enables a fairly good result using limited angle projection data. [31][32][33] Because of this property, SART was selected as the basic DBT reconstruction algorithm for this study. A new loss function based on SART was written to include AUS information.…”

Section: Introductionmentioning

confidence: 99%

Improved digital breast tomosynthesis images using automated ultrasound

Zhang

Yuan

et al. 2014

Med. Phys.

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“…For 3D coronary artery reconstruction, the motion of coronary artery is firstly estimated by some kinds of registration and then compensated in the reconstruction process using dynamic reconstruction methods [14,15]. In this way, all angiograms could be used to perform the reconstruction at each phase without introducing severe motion artifacts.…”

Section: Introductionmentioning

confidence: 99%

Local motion-compensated method for high-quality 3D coronary artery reconstruction

Liu

Bai

Zhou

2016

Biomed. Opt. Express

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Abstract:The 3D reconstruction of coronary artery from X-ray angiograms rotationally acquired on C-arm has great clinical value. While cardiac-gated reconstruction has shown promising results, it suffers from the problem of residual motion. This work proposed a new local motion-compensated reconstruction method to handle this issue. An initial image was firstly reconstructed using a regularized iterative reconstruction method. Then a 3D/2D registration method was proposed to estimate the residual vessel motion. Finally, the residual motion was compensated in the final reconstruction using the extended iterative reconstruction method. Through quantitative evaluation, it was found that high-quality 3D reconstruction could be obtained and the result was comparable to state-of-the-art method.

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Cone Beam CT using motion-compensated algebraic reconstruction methods with limited data

Cited by 8 publications

References 24 publications

A general method for motion compensation in x-ray computed tomography

A general method for motion compensation in x-ray computed tomography

Improved digital breast tomosynthesis images using automated ultrasound

Local motion-compensated method for high-quality 3D coronary artery reconstruction

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