On the “unreasonable” effectiveness of transport of intensity imaging and optical deconvolution

Gureyev, T. E.; Nesterets, Yakov; Kozlov, A.; Paganin, David M.; Quiney, Harry M.

doi:10.1364/josaa.34.002251

Cited by 79 publications

(84 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…x ) −1/2 that never vanishes, never has division-by-zero instability, and never exceeds unity. This class of inverse-problem solution belongs to the category of SNR-boosting algorithms recently investigated by Gureyev et al [57]. A related member of this algorithm class [46] has been shown to boost SNR by factors F on the order of hundreds (or, equivalently, enable dose and data acquisition time to be reduced by factors F 2 on the order of tens of thousands) in the process of reconstruction [47,48,[58][59][60].…”

Section: X-ray Phase Contrast Computational Ghost Imaging: Theorymentioning

confidence: 99%

Random-matrix bases, ghost imaging, and x-ray phase contrast computational ghost imaging

Ceddia

Paganin

2018

Phys. Rev. A

Self Cite

View full text Add to dashboard Cite

A theory of random-matrix bases is presented, including expressions for orthogonality, completeness and the random-matrix synthesis of arbitrary matrices. This is applied to ghost imaging as the realization of a random-basis reconstruction, including an expression for the resulting signal-to-noise ratio. Analysis of conventional direct imaging and ghost imaging leads to a criterion which, when satisfied, implies reduced dose for computational ghost imaging. We also propose an experiment for x-ray phase contrast computational ghost imaging, which enables differential phase contrast to be achieved in an x-ray ghost imaging context. We give a numerically robust solution to the associated inverse problem of decoding differential phase contrast x-ray ghost images, to yield a quantitative map of the projected thickness of the sample.

show abstract

Section: X-ray Phase Contrast Computational Ghost Imaging: Theorymentioning

confidence: 99%

Random-matrix bases, ghost imaging, and x-ray phase contrast computational ghost imaging

Ceddia

Paganin

2018

Phys. Rev. A

Self Cite

View full text Add to dashboard Cite

show abstract

“…Understanding this point is very important in order to appreciate the difference between the PB‐CT method employed in the present study and any form of image processing that can be utilized in conjunction with conventional absorption‐based CT. While the latter cannot improve SNR in the reconstructed slices without sacrificing the spatial resolution or increasing the x‐ray dose, PB‐CT is capable of achieving this goal, as demonstrated earlier and discussed further below.…”

Section: Methodsmentioning

confidence: 93%

“…This increase in Q is only possible because the forward free‐space propagation improves spatial resolution (effectively decreasing

h^{'}

) without increasing image noise (see detailed explanation in Ref. [38]). Understanding this point is very important in order to appreciate the difference between the PB‐CT method employed in the present study and any form of image processing that can be utilized in conjunction with conventional absorption‐based CT.…”

Section: Methodsmentioning

confidence: 99%

Propagation‐based x‐ray phase‐contrast tomography of mastectomy samples using synchrotron radiation

et al. 2019

View full text Add to dashboard Cite

Purpose Propagation‐based phase‐contrast computed tomography (PB‐CT) is a method for three‐dimensional x‐ray imaging that utilizes refraction, as well as absorption, of x rays in the tissues to increase the signal‐to‐noise ratio (SNR) in the resultant images, in comparison with equivalent conventional absorption‐only x‐ray tomography (CT). Importantly, the higher SNR is achieved without sacrificing spatial resolution or increasing the radiation dose delivered to the imaged tissues. The present work has been carried out in the context of the current development of a breast CT imaging facility at the Australian Synchrotron. Methods Seven unfixed complete mastectomy samples with and without breast cancer lesions have been imaged using absorption‐only CT and PB‐CT techniques under controlled experimental conditions. The radiation doses delivered to the mastectomy samples during the scans were comparable to those approved for mammographic screening. Physical characteristics of the reconstructed images, such as spatial resolution and SNR, have been measured and compared with the results of the radiological quality assessment of the complete absorption CT and PB‐CT image stacks. Results Despite the presence of some image artefacts, the PB‐CT images have outperformed comparable absorption CT images collected at the same radiation dose, in terms of both the measured objective image characteristics and the radiological image scores. The outcomes of these experiments are shown to be consistent with predictions of the theory of PB‐CT imaging and previous reported experimental studies of this imaging modality. Conclusions The results presented in this paper demonstrate that PB‐CT holds a high potential for improving on the quality and diagnostic value of images obtained using existing medical x‐ray technologies, such as mammography and digital breast tomosynthesis (DBT). If implemented at suitable synchrotron imaging facilities, PB‐CT can be used to complement existing imaging modalities, leading to more accurate breast cancer diagnosis.

show abstract

“…Indeed, the standard X-ray GI setup is totally insensitive to any refractive effects (phase shifts) imparted by the sample since such effects have no influence on the total number of photons registered in each bucket measurement. A protocol has recently been proposed for X-ray phase contrast ghost imaging [31], which belongs to the class of SNR-boosting X-ray phase retrieval algorithms [50], [60] epitomised by the previouslymentioned PM. Such phase-contrast X-ray ghost imaging protocols, particularly in light of the SNR-boosting property, may form an interesting avenue for future developments of X-ray phase-contrast ghost tomography.…”

Section: Discussionmentioning

confidence: 99%

X-Ray Ghost-Tomography: Artefacts, Dose Distribution, and Mask Considerations

Kingston

Myers

Pelliccia³

et al. 2019

IEEE Trans. Comput. Imaging

Self Cite

View full text Add to dashboard Cite

Ghost imaging has recently been successfully achieved in the X-ray regime; due to the penetrating power of X-rays this immediately opens up the possibility of X-ray ghost tomography. No research into this topic currently exists in the literature. Here we present adaptations of conventional tomography techniques to this new ghost imaging scheme. Several numerical implementations for tomography through X-ray ghost imaging are considered. Specific attention is paid to schemes for denoising of the resulting tomographic reconstruction, issues related to dose fractionation, and considerations regarding the ensemble of illuminating masks used for ghost imaging. Each theme is explored through a series of numerical simulations, and several suggestions offered for practical realisations of Xray ghost tomography.

show abstract

On the “unreasonable” effectiveness of transport of intensity imaging and optical deconvolution

Cited by 79 publications

References 40 publications

Random-matrix bases, ghost imaging, and x-ray phase contrast computational ghost imaging

Random-matrix bases, ghost imaging, and x-ray phase contrast computational ghost imaging

Propagation‐based x‐ray phase‐contrast tomography of mastectomy samples using synchrotron radiation

X-Ray Ghost-Tomography: Artefacts, Dose Distribution, and Mask Considerations

Contact Info

Product

Resources

About