Patient-specific scatter correction for flat-panel detector-based cone-beam CT imaging

Zhao, Wei; Brunner, Stephen; Niu, Kai; Schäfer, Sebastian; Royalty, Kevin; Chen, Guang-Hong

doi:10.1088/0031-9155/60/3/1339

Cited by 40 publications

(43 citation statements)

References 52 publications

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“…For realistic applications, one may want to perform scatter correction in front of the material decomposition. To perform scatter correction, the scatter radiation needs to be estimated and then subtracted from the raw projection data . This would be performed for both dual‐ and triple‐energy measurements.…”

Section: Discussionmentioning

confidence: 99%

A unified material decomposition framework for quantitative dual‐ and triple‐energy CT imaging

et al. 2018

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A unified framework for both DECT and TECT imaging has been established for the accurate extraction of material compositions using currently available commercial DECT configurations. The novel technique is promising to provide an urgently needed solution for several CT-based diagnostic and therapy applications, especially for the diagnosis of cardiovascular and abdominal diseases where multicontrast imaging is involved.

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Section: Discussionmentioning

confidence: 99%

A unified material decomposition framework for quantitative dual‐ and triple‐energy CT imaging

et al. 2018

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“…Thereby, the convolution is performed over the fan angle β and the cone angle γ at each scan angle α . The constant term

c_{0}

is assumed to be influence by Compton scattering, while

c_{1}

is due to Rayleigh scattering . The scatter kernel K is defined as follows

K false(\overset{d}{true} false) = (e^{- d_{1} (β + d_{2})} + e^{- d_{1} (β - d_{2})}) \cdot (e^{- d_{3} (γ + d_{4})} + e^{- d_{3} (γ - d_{4})}) .

…”

Section: Methodsmentioning

confidence: 99%

“…The analytical modeling methods calculate scatter by a convolution operation of a scatter kernel on the measured data . The convolution‐based method is computationally efficient, but the kernel must be predefined to be used and the results are sensitive to the kernel parameters . The measurement‐based methods typically use x‐ray beam‐blockers or beam stopper array .…”

Section: Introductionmentioning

confidence: 99%

“…However, secondary effects due to modulator penumbra and beam hardening may influence the scatter distribution. Recently, object model‐based approaches were introduced for scatter correction using energy‐resolved reprojection technique . Nevertheless, segmentation involving complex materials and structures may become a very challenging work.…”

Section: Introductionmentioning

confidence: 99%

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A weighted rebinned backprojection‐filtration algorithm from partially beam‐blocked data for a single‐scan cone‐beam CT with hybrid type scatter correction

et al. 2019

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Purpose Scatter contamination constitutes a dominant source of degradation of image quality in cone‐beam computed tomography (CBCT). We have recently developed an analytic image reconstruction method with a scatter correction capability from the partially blocked cone‐beam data out of a single scan. Despite its easy implementation and its computational efficiency, the developed method may result in additional image artifacts for a large cone angle geometry due to data inconsistency. To improve the image quality at a large cone angle, we propose a weighted rebinned backprojection‐filtration (wrBPF) algorithm in conjunction with a hybrid type scatter correction approach. Methods The proposed method uses a beam‐blocker array that provides partial data for scatter correction and image reconstruction and that only blocks the beam within a limited cone angle. This design allows a chance to keep the image quality at larger cone angles by use of data redundancy since the projection data corresponding to larger cone angles are not blocked. However, the scatter correction would not be straightforward. In order to correct for the scatter in the projections at larger cone angles, we propose a novel scatter correction method combining a measurement‐based and a convolution‐based method. We first estimated the scatter signal using a measurement‐based method in the partially beam‐blocked regions, and then optimized the fitting parameters of a convolution‐kernel that can be used for scatter correction in the projections at larger cone angles. For image reconstruction, we developed a wrBPF with butterfly filtering. We have conducted an experimental study to validate the proposed algorithm for image reconstruction and scatter correction. Results The experimental results revealed that the developed reconstruction method makes full use of the benefits of partial beam‐blocking for scatter correction and image reconstruction and at the same time enhances image quality at larger cone angles by use of an optimized convolution‐based scatter correction. Conclusions The proposed method that enjoys the advantages of both measurement‐based and convolution‐based methods for scatter correction has successfully demonstrated its capability of reconstructing accurate images out of a single scan in circular CBCT.

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“…Investigators have computed scatter point-spread functions (spsf) (Yang et al , 2014; Lau, 2012; Diaz et al , 2014) to study the nature of scatter in DM and DBT. (Zhao et al , 2015) developed a spsf-based patient specific SC method for CBCT. An initial segmented 3D reconstruction was used to estimate primary data, which could be combined with uncorrected (primary + scatter) data to fit spsf parameters and perform SC.…”

Section: Introductionmentioning

confidence: 99%

A scatter correction method for contrast-enhanced dual-energy digital breast tomosynthesis

Peng

Lau

et al. 2015

Phys. Med. Biol.

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Contrast-enhanced dual energy digital breast tomosynthesis (CE-DE-DBT) is designed to image iodinated masses while suppressing breast anatomical background. Scatter is a problem, especially for high energy acquisition, in that it causes severe cupping artifact and iodine quantitation errors. We propose a patient specific scatter correction (SC) algorithm for CE-DE-DBT. The empirical algorithm works by interpolating scatter data outside the breast shadow into an estimate within the breast shadow. The interpolated estimate is further improved by operations that use an easily obtainable (from phantoms) table of scatter-to-primary-ratios (SPR) - a single SPR value for each breast thickness and acquisition angle. We validated our SC algorithm for two breast emulating phantoms by comparing SPR from our SC algorithm to that measured using a beam-passing pinhole array plate. The error in our SC computed SPR, averaged over acquisition angle and image location, was about 5%, with slightly worse errors for thicker phantoms. The SC projection data, reconstructed using OS-SART, showed a large degree of decupping. We also observed that SC removed the dependence of iodine quantitation on phantom thickness. We applied the SC algorithm to a CE-DE-mammographic patient image with a biopsy confirmed tumor at the breast periphery. In the image without SC, the contrast enhanced tumor was masked by the cupping artifact. With our SC, the tumor was easily visible. An interpolation-based SC was proposed by (Siewerdsen et al., 2006) for cone-beam CT (CBCT), but our algorithm and application differ in several respects. Other relevant SC techniques include Monte-Carlo and convolution-based methods for CBCT, storage of a precomputed library of scatter maps for DBT, and patient acquisition with a beam-passing pinhole array for breast CT. Our SC algorithm can be accomplished in clinically acceptable times, requires no additional imaging hardware or extra patient dose and is easily transportable between sites.

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Patient-specific scatter correction for flat-panel detector-based cone-beam CT imaging

Cited by 40 publications

References 52 publications

A unified material decomposition framework for quantitative dual‐ and triple‐energy CT imaging

A unified material decomposition framework for quantitative dual‐ and triple‐energy CT imaging

A weighted rebinned backprojection‐filtration algorithm from partially beam‐blocked data for a single‐scan cone‐beam CT with hybrid type scatter correction

A scatter correction method for contrast-enhanced dual-energy digital breast tomosynthesis

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