On optimisation of Paganin's method for propagation‐based X‐ray phase‐contrast imaging and tomography.
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| Title: | On optimisation of Paganin's method for propagation‐based X‐ray phase‐contrast imaging and tomography. |
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| Authors: | Gureyev, Timur E.1 (AUTHOR) timur.gureyev@unimelb.edu.au, Paganin, David M.2 (AUTHOR), Pakzad, Ashkan1 (AUTHOR), Quiney, Harry M.1 (AUTHOR) |
| Source: | Journal of Microscopy. Jul2026, Vol. 303 Issue 1, p37-52. 16p. |
| Subjects: | Image reconstruction, Regularization parameter, X-ray imaging, Tomography, Tikhonov regularization, Spatial resolution, Signal-to-noise ratio |
| Abstract: | Paganin's method for image reconstruction in propagation‐based phase‐contrast X‐ray imaging and tomography has enjoyed broad acceptance in recent years, with over one thousand publications citing its use. The present paper discusses approaches to optimisation of the method with respect to simple image quality metrics, such as signal‐to‐noise ratio and spatial resolution, as well as a reference‐based metric corresponding to the relative mean squared difference between the reconstructed image and the 'ground truth' image that would be obtained in a setup with perfect spatial resolution and no noise. The problem of optimisation of the intrinsic regularisation parameter of Paganin's method with respect to spatial resolution in the reconstructed image is studied in detail. It is also demonstrated that a combination of Paganin's method with a Tikhonov‐regularised deconvolution of the point‐spread function of the imaging system can provide significantly higher image quality compared to the standard version of the method. Analytical expressions for some relevant image quality metrics are obtained and compared with results of numerical simulations. Advantages and shortcomings of optimisation approaches using a number of different image quality metrics are discussed. The results of this study are expected to be useful in practical X‐ray imaging and in training of machine learning models for image denoising and segmentation. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Microscopy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194722975 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: On optimisation of Paganin's method for propagation‐based X‐ray phase‐contrast imaging and tomography. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gureyev%2C+Timur+E%2E%22">Gureyev, Timur E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> timur.gureyev@unimelb.edu.au</i><br /><searchLink fieldCode="AR" term="%22Paganin%2C+David+M%2E%22">Paganin, David M.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pakzad%2C+Ashkan%22">Pakzad, Ashkan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Quiney%2C+Harry+M%2E%22">Quiney, Harry M.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Microscopy%22">Journal of Microscopy</searchLink>. Jul2026, Vol. 303 Issue 1, p37-52. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Image+reconstruction%22">Image reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22Regularization+parameter%22">Regularization parameter</searchLink><br /><searchLink fieldCode="DE" term="%22X-ray+imaging%22">X-ray imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Tomography%22">Tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Tikhonov+regularization%22">Tikhonov regularization</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+resolution%22">Spatial resolution</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Paganin's method for image reconstruction in propagation‐based phase‐contrast X‐ray imaging and tomography has enjoyed broad acceptance in recent years, with over one thousand publications citing its use. The present paper discusses approaches to optimisation of the method with respect to simple image quality metrics, such as signal‐to‐noise ratio and spatial resolution, as well as a reference‐based metric corresponding to the relative mean squared difference between the reconstructed image and the 'ground truth' image that would be obtained in a setup with perfect spatial resolution and no noise. The problem of optimisation of the intrinsic regularisation parameter of Paganin's method with respect to spatial resolution in the reconstructed image is studied in detail. It is also demonstrated that a combination of Paganin's method with a Tikhonov‐regularised deconvolution of the point‐spread function of the imaging system can provide significantly higher image quality compared to the standard version of the method. Analytical expressions for some relevant image quality metrics are obtained and compared with results of numerical simulations. Advantages and shortcomings of optimisation approaches using a number of different image quality metrics are discussed. The results of this study are expected to be useful in practical X‐ray imaging and in training of machine learning models for image denoising and segmentation. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Microscopy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/jmi.70083 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 37 Subjects: – SubjectFull: Image reconstruction Type: general – SubjectFull: Regularization parameter Type: general – SubjectFull: X-ray imaging Type: general – SubjectFull: Tomography Type: general – SubjectFull: Tikhonov regularization Type: general – SubjectFull: Spatial resolution Type: general – SubjectFull: Signal-to-noise ratio Type: general Titles: – TitleFull: On optimisation of Paganin's method for propagation‐based X‐ray phase‐contrast imaging and tomography. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gureyev, Timur E. – PersonEntity: Name: NameFull: Paganin, David M. – PersonEntity: Name: NameFull: Pakzad, Ashkan – PersonEntity: Name: NameFull: Quiney, Harry M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00222720 Numbering: – Type: volume Value: 303 – Type: issue Value: 1 Titles: – TitleFull: Journal of Microscopy Type: main |
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