Reduction of Ring Artifacts in High Resolution X-Ray Microtomography Images

Axelsson, Maria; Svensson, Stina; Borgefors, Gunilla

doi:10.1007/11861898_7

Cited by 16 publications

(7 citation statements)

References 8 publications

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“…The iterations were performed in the polar domain avoiding multiple conversions. All the filters include the same cartesian to polar and viceversa conversion with a dense bicubic interpolation scheme [6] in order to milder artifacts far from image center [1]. The methodology adopted for the preparation of the artificial test image as well as a brief description of the quantitative measurement process for the comparison are also described.…”

Section: Methodsmentioning

confidence: 99%

A comparative evaluation of ring artifacts reduction filters for X-ray computed microtomography images

Brun

Kourousias

Dreossi

et al. 2011

2011 18th IEEE International Conference on Image Processing

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Concentric rings are among the most recurrent artifacts in X-ray computed microtomography imaging. Their presence have a negative impact on the quantitative and qualitative analyses of the data. An interesting approach for ring artifacts removal is based on direct filtering of the reconstructed slices. Slice filtering does not require additional imaging data (i.e. flat fielding images), it does not exclude methods applied during the reconstruction process (i.e. sinogram processing) and it can be applied also to past archived tomographic data. In this work four different approaches for the removal of complete ring artifacts are presented and preliminary compared using a suitably created artificial image as well as an experimental image. After a critical analysis of the considered filters, the results support that an approach based on a modified Sijbers and Postnov [1] method effectively compensates ring artifacts in reconstructed slices, thus resulting in a powerful tool for established microtomography workflows.

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Section: Methodsmentioning

confidence: 99%

A comparative evaluation of ring artifacts reduction filters for X-ray computed microtomography images

Brun

Kourousias

Dreossi

et al. 2011

2011 18th IEEE International Conference on Image Processing

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“…The voxels are isotropic, with a side length of approximately 0.7µm. Ring artifacts present in the images were reduced using the method described in (Axelsson et al, 2006).…”

Section: Methodsmentioning

confidence: 99%

BINARIZATION OF PHASE CONTRAST VOLUME IMAGES OF FIBROUS MATERIALS - A Case Study

Malmberg¹,

Östlund

Borgefors

2009

Proceedings of the Fourth International Conference on Computer Vision Theory and Applications

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In this paper, we present a method for segmenting phase contrast volume images of fibrous materials into fibre and background. The method is based on graph cut segmentation, and is tested on high resolution X-ray microtomography volume images of wood fibres in paper an composites. The new method produces better results than a standard method based on edge-preserving smoothing and hysteresis thresholding. The most important improvement is that the proposed method handles thick and collapsed fibres more accurately than previous methods.

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“…These residual ring artifacts may appear due to the no linear response of the detector elements with the incident X-ray flux, which can change between acquisitions. Among the number of methods that have been presented [22,[41][42][43][44][45][46][47][48][49][50], we propose a correction algorithm that works on the projection data before reconstruction, as it can be efficiently included in the correction/reconstruction pipe-line.…”

Section: Ring Artifact Correctionmentioning

confidence: 99%

Software architecture for multi-bed FDK-based reconstruction in X-ray CT scanners

Abella

Vaquero

Sisniega

et al. 2012

Computer Methods and Programs in Biomedicine

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Cone-beam t r a c tMost small-animal X-ray computed tomography (CT) scanners are based on cone-beam geometry with a flat-panel detector orbiting in a circular trajectory. Image reconstruction in these systems is usually performed by approximate methods based on the algorithm proposed by Feldkamp et al. (FDK). Besides the implementation of the reconstruction algorithm itself, in order to design a real system it is necessary to take into account numerous issues so as to obtain the best quality images from the acquired data. This work presents a comprehensive, novel software architecture for small-animal CT scanners based on cone-beam geometry with circular scanning trajectory. The proposed architecture covers all the steps from the system calibration to the volume reconstruction and conversion into Hounsfield units. It includes an efficient implementation of an FDK-based reconstruction algorithm that takes advantage of system symmetries and allows for parallel reconstruction using a multiprocessor computer. Strategies for calibration and artifact correction are discussed to justify the strategies adopted. New procedures for multi-bed misalignment, beam-hardening, and Housfield units calibration are proposed. Experiments with phantoms and real data showed the suitability of the proposed software architecture for an X-ray small animal CT based on cone-beam geometry. IntroductionMany small animal X-ray computed tomography (CT) scanners are based on cone-beam geometry with a flat-panel detector orbiting in a circular trajectory [1][2][3][4]. This configuration presents advantages over other alternatives used in clinical and preclinical applications: reduction of acquisition time, large axial field of view (FOV) without geometrical distortions, and optimization of radiated dose [5]. proposed by Feldkamp et al. (FDK) [6] are still widely used for solving the 3D reconstruction task because of their straightforward implementation and computational efficiency [4]. Almost every aspect of the reconstruction process has been studied: there is literature on algorithm variations for different trajectories [7,8], optimizations using graphic processing units (GPUs) [9][10][11][12][13][14][15], strategies to reduce cone beam artifacts [16,17], study of consistency conditions [18], optimization of the back-projection step [19], etc. However, in a real practical system, the implementation of a reconstruction algorithm core such as FDK is just an initial step of the process, and there 1

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Reduction of Ring Artifacts in High Resolution X-Ray Microtomography Images

Cited by 16 publications

References 8 publications

A comparative evaluation of ring artifacts reduction filters for X-ray computed microtomography images

A comparative evaluation of ring artifacts reduction filters for X-ray computed microtomography images

BINARIZATION OF PHASE CONTRAST VOLUME IMAGES OF FIBROUS MATERIALS - A Case Study

Software architecture for multi-bed FDK-based reconstruction in X-ray CT scanners

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