Fourier domain image fusion for differential X-ray phase-contrast breast imaging

Coello, Eduardo; Sperl, Jonathan I.; Bequé, D.; Benz, Tobias; Scherer, Kai; Herzen, Julia; Sztrókay-Gaul, Aniko; Hellerhoff, Karin; Pfeiffer, Franz; Cozzini, C.; Grandl, Susanne

doi:10.1016/j.ejrad.2017.01.019

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…32 Others have focused on optimizing the soft tissue signal from XPCI in the breast with iterative reconstructions and hybrid imaging that combines the edge delineation and small feature resolution characteristics of phase contrast and dark-field imaging with the attenuation signal in a single fused image. 33,34 Thus, advances in XPCI have the potential to greatly increase visibility of small features in mammography and improve its efficacy. Similar arguments could be made for other oncologic and nononcologic imaging applications of XPCI.…”

Section: Discussionmentioning

confidence: 99%

Phase-contrast imaging with a compact x-ray light source: system design

et al. 2017

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X-ray phase-contrast imaging (XPCI) overcomes the problem of low contrast between different soft tissues achieved in conventional x-ray imaging by introducing x-ray phase as an additional contrast mechanism. This work describes a compact x-ray light source (CXLS) and compares, via simulations, the high quality XPCI results that can be produced from this source to those produced using a microfocus x-ray source. The simulation framework is first validated using an image acquired with a microfocus-source, propagation-based XPCI (PB-XPCI) system. The phase contrast for a water sphere simulating a simple cyst submersed in muscle is evaluated and the evolution of PB-XPCI signal as the object to detector distance is increased is demonstrated. The proposed design of a PB-XPCI system using the CXLS is described and simulated images of a coronary artery compared between CXLS and microfocus source PB-XPCI systems. To generate images with similar noise levels, a microfocus source would require a 3000 times longer exposure than would the CXLS. We conclude that CXLS technology has the potential to provide high-quality XPCI in a medical environment using extremely short exposure times relative to microfocus source approaches.

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Section: Discussionmentioning

confidence: 99%

Phase-contrast imaging with a compact x-ray light source: system design

et al. 2017

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“…In XGI image fusion, high-frequency components of images from DPC and DFC are selected to provide greater features and details. At the same time, low-frequency components of the image from AC are preferred because of an intrinsic principle of conventional X-ray methods: making images easy for doctors or radiologists to read [ 18 ]. In addition, because the three pictures from XGI are retrieved simultaneously from the same direction by the same sensor, there is no need for additional image registration.…”

Section: Methodsmentioning

confidence: 99%

“…However, the fusion rule of their scheme was unable to process three input images simultaneously, making it unsuitable for trimodal application. Eduardo Coello et al introduced a Fourier domain framework for XGI fusion in 2017 [ 18 ]. The fusion results contained abundant diagnostic features and details, attributed to the full utilization of complementary information from three XGI channels by the Fourier transform.…”

Section: Introductionmentioning

confidence: 99%

Multimodal Image Fusion for X-ray Grating Interferometry

Liu

Jiang

et al. 2023

Sensors

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X-ray grating interferometry (XGI) can provide multiple image modalities. It does so by utilizing three different contrast mechanisms—attenuation, refraction (differential phase-shift), and scattering (dark-field)—in a single dataset. Combining all three imaging modalities could create new opportunities for the characterization of material structure features that conventional attenuation-based methods are unable probe. In this study, we proposed an image fusion scheme based on the non-subsampled contourlet transform and spiking cortical model (NSCT-SCM) to combine the tri-contrast images retrieved from XGI. It incorporated three main steps: (i) image denoising based on Wiener filtering, (ii) the NSCT-SCM tri-contrast fusion algorithm, and (iii) image enhancement using contrast-limited adaptive histogram equalization, adaptive sharpening, and gamma correction. The tri-contrast images of the frog toes were used to validate the proposed approach. Moreover, the proposed method was compared with three other image fusion methods by several figures of merit. The experimental evaluation results highlighted the efficiency and robustness of the proposed scheme, with less noise, higher contrast, more information, and better details.

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“…( 1) and (2) to the analytic expressions of TA-MMA in Eqs. (11) (22) (23), the contrasts retrieved by TA-MMA with parameters in cosine models can be expressed as, i.e.,…”

Section: Physical Interpretations Of Ta-mma and Its Hybrid-field Cont...mentioning

confidence: 99%

“…Hence, the need arises for a method to combine two or more of the above mentioned contrasts in GPCI into one image containing best information relevant for diagnosis. Until now, contrast fusion methods in GPCI are post-processing after obtaining multiple contrasts, either in image domain [21], [22] or fourier domain [23], and are separated from the information retrieval processing.…”

Section: Introductionmentioning

confidence: 99%

Truncated analytic moment analysis and its hybrid-field contrast in grating-based x-ray phase contrast imaging

Wu¹,

Zhang²,

Li³

et al. 2019

Preprint

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For grating-based x-ray phase contrast imaging (GPCI), a multi-order moment analysis (MMA) has been recently developed to obtain multiple contrasts from the ultra-small-angle x-ray scattering distribution, as a novel information retrieval approach that is totally different from the conventional Fourier components analysis (FCA). In this paper, we present an analytic form of MMA in theory that can retrieve multiple contrasts directly from raw phase-stepping images, with no scattering distribution involved. For practical implementation, a truncated analytic analysis (called as TA-MMA) is adopted and it is hundreds of times faster in computation than the original deconvolutionbased MMA (called as DB-MMA). More importantly, TA-MMA is proved to establish a quantitative connection between FCA and MMA, i.e., the first-order moment computed by TA-MMA is essentially the product of the phase contrast and the dark-field contrast retrieved by FCA, providing a new physical parameter for GPCI. The new physical parameter, in fact, can be treated as a "hybrid-field" contrast as it fuses the original phase contrast and dark-field contrast in a straightforward manner, which may be the first physical fusion contrast in GPCI to our knowledge and may have a potential to be directly used in practical applications.

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Fourier domain image fusion for differential X-ray phase-contrast breast imaging

Cited by 10 publications

References 10 publications

Phase-contrast imaging with a compact x-ray light source: system design

Phase-contrast imaging with a compact x-ray light source: system design

Multimodal Image Fusion for X-ray Grating Interferometry

Truncated analytic moment analysis and its hybrid-field contrast in grating-based x-ray phase contrast imaging

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