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Multi-contrast benchmarking of edge illumination Monte Carlo simulations using virtual gratings

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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0001-5253-1274
cris.virtual.orcid0000-0001-7968-4705
cris.virtual.orcid0000-0003-4225-2487
cris.virtualsource.department57462492-22a3-4a15-844a-371bf8a18da3
cris.virtualsource.department9dc18cb9-af4e-439a-8683-55e0b01070b8
cris.virtualsource.department33ee4c5e-70fd-4640-9a4b-6dff3f3210d0
cris.virtualsource.orcid57462492-22a3-4a15-844a-371bf8a18da3
cris.virtualsource.orcid9dc18cb9-af4e-439a-8683-55e0b01070b8
cris.virtualsource.orcid33ee4c5e-70fd-4640-9a4b-6dff3f3210d0
dc.contributor.authorSanctorum, Jonathan
dc.contributor.authorSijbers, Jan
dc.contributor.authorDe Beenhouwer, Jan
dc.contributor.imecauthorSanctorum, Jonathan
dc.contributor.imecauthorSijbers, Jan
dc.contributor.imecauthorDe Beenhouwer, Jan
dc.contributor.orcidimecSanctorum, Jonathan::0000-0001-7968-4705
dc.contributor.orcidimecSijbers, Jan::0000-0003-4225-2487
dc.contributor.orcidimecDe Beenhouwer, Jan::0000-0001-5253-1274
dc.date.accessioned2025-03-21T05:43:24Z
dc.date.available2025-03-21T05:43:24Z
dc.date.issued2025
dc.description.abstractIn recent years, the complementary nature of multi-contrast imaging has increased the popularity of x-ray phase contrast imaging, including edge illumination. However, edge illumination system optimization most often relies on phase and transmission contrast only, without considering dark field contrast. Computer simulations are a widespread approach to design and optimize imaging systems, including the benchmarking of simulation results, i.e., the comparison to a reference value. Providing such a reference is, however, particularly challenging for the dark field signal. In this work, we present a practical method to directly estimate transmission, refraction, and dark field contrast reference values from simulated x-ray trajectories in Monte Carlo simulations. This allows an immediate comparison of the retrieved simulated contrasts to their respective references. We show how the generated reference values can be used effectively for benchmarking simulation results and discuss other potential applications of the presented approach.
dc.description.wosFundingTextThe research presented in this work was financially supported by the Research Foundation-Flanders (FWO) through Grant Nos. S003421N (FoodPhase), G094320N, and G090020N.
dc.identifier.doi10.1063/5.0244152
dc.identifier.issn0021-8979
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45429
dc.publisherAIP Publishing
dc.source.beginpage104904
dc.source.issue10
dc.source.journalJOURNAL OF APPLIED PHYSICS
dc.source.numberofpages13
dc.source.volume137
dc.subject.keywordsDIFFERENTIAL PHASE-CONTRAST
dc.subject.keywordsCODED-APERTURE
dc.subject.keywordsWAVE OPTICS
dc.subject.keywordsX-RAYS
dc.subject.keywordsINTERFEROMETRY
dc.subject.keywordsVISIBILITY
dc.subject.keywordsREFRACTION
dc.subject.keywordsPLATFORM
dc.subject.keywordsMODELS
dc.subject.keywordsGATE
dc.title

Multi-contrast benchmarking of edge illumination Monte Carlo simulations using virtual gratings

dc.typeJournal article
dspace.entity.typePublication
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