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Inst."],"published-print":{"date-parts":[[2025,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>X-ray imaging is an invaluable tool for noninvasive analysis\n  in many fields ranging from basic science to medicine and\n  security. The development of low-dose large area imaging solutions\n  still represents an important challenge for various applications.\n\n  One solution to the imaging of large areas lies in the development\n  of novel computational imaging systems that can overcome the\n  limitations imposed by hardware, relying instead on numerical\n  processing power. The single-pixel detector, depending on the\n  application, may offer a competitive edge over conventional cameras\n  (being a cheaper alternative to the multi-pixelated solutions). In\n  addition, the single-pixel detector can be used to achieve improved\n  detection efficiency, faster timing response, and good spatial\n  resolution with low radiation dose. Moreover, this technique enables\n  detectors to image through diffuse mediums, increasing the image\n  quality at significant depths, solving the depth penetration issues\n  of other imaging methods.\n\n  In this work, we explore the application of single-pixel imaging\n  techniques to produce two-dimensional images with high temporal\n  resolution (only if the process is reproducible and the conditions\n  are static), using only a single detector (bucket detector). The\n  setup, based on the application of Hadamard patterns, showed\n  promising results, proving the ability of the system to acquire\n  images using thin PLA based masks (up to 5 mm thickness). Both\n  simulation, using GEANT 4, and experimental setup, based on a time\n  projection chamber (TPC), used in this work to demonstrate this\n  technique will be reported here along with the first results.<\/jats:p>","DOI":"10.1088\/1748-0221\/20\/06\/p06027","type":"journal-article","created":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T16:40:34Z","timestamp":1750437634000},"page":"P06027","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["X-ray Single-Pixel Imaging with MPGD-based detectors"],"prefix":"10.1088","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-6150-5385","authenticated-orcid":false,"given":"M.","family":"Sim\u00f5es","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3490-7789","authenticated-orcid":false,"given":"P.","family":"Vaz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0067-3128","authenticated-orcid":false,"given":"A.F.V.","family":"Cortez","sequence":"additional","affiliation":[]}],"member":"266","published-online":{"date-parts":[[2025,6,20]]},"reference":[{"key":"b2662acdf3edf000385038405a3ddade0","doi-asserted-by":"publisher","DOI":"10.34133\/2021\/9892152","article-title":"Recent Development in X-Ray Imaging Technology: Future and Challenges","volume":"2021","author":"Ou","year":"2021","journal-title":"Research"},{"key":"bb33ff44a611d83f355043dd62b73b421","doi-asserted-by":"publisher","DOI":"10.1038\/s43586-021-00015-4","article-title":"X-ray computed tomography","volume":"1","author":"Withers","year":"2021","journal-title":"Nature Reviews Methods Primers"},{"key":"b05aa49491a3da9deb096a8a1b53d6153","doi-asserted-by":"publisher","first-page":"46975","DOI":"10.1109\/access.2022.3171334","article-title":"Re-Ordering of Hadamard Matrix Using Fourier Transform and Gray-Level Co-Occurrence Matrix for Compressive Single-Pixel Imaging in Low Resolution Images","volume":"10","author":"Vaz","year":"2022","journal-title":"IEEE Access"},{"key":"b266f7246a58b9698cec0d98164f33cd3","first-page":"1177511","article-title":"Compressive single pixel phosphorescence lifetime and intensity simultaneous imaging: a pilot study using oxygen sensitive biomarkers","author":"Santos","year":"2021"},{"key":"bcf75ceb29197f57b19dcb8b4757368e8","doi-asserted-by":"publisher","DOI":"10.1063\/1.5140322","article-title":"High-resolution sub-sampling incoherent x-ray imaging with a single-pixel detector","volume":"5","author":"He","year":"2020","journal-title":"APL Photonics"},{"key":"b0afda70c208a33c29ef90e5ab2a90815","first-page":"1","article-title":"Single-pixel imaging: concepts and application to imaging through scattering media","author":"Vaz","year":"2023"},{"key":"ba02b55c6af875e0dabd11b5fe0cfc131","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/msp.2007.914730","article-title":"Single-pixel imaging via compressive sampling","volume":"25","author":"Duarte","year":"2008","journal-title":"IEEE Signal Processing Magazine"},{"key":"b7a6b9cb5810fd5ecb7c0b68311ffa00d","doi-asserted-by":"publisher","first-page":"11666","DOI":"10.1364\/oe.387612","article-title":"Image quality of compressive single-pixel imaging using different Hadamard orderings","volume":"28","author":"Vaz","year":"2020","journal-title":"Optics Express"},{"key":"b76e28a63a4bf04810aa0978603634030","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/msp.2007.914731","article-title":"An Introduction To Compressive Sampling","volume":"25","author":"Candes","year":"2008","journal-title":"IEEE Signal Processing Magazine"},{"key":"bde3a8c8525ccf3fa9ac5e4c0269a39da","doi-asserted-by":"publisher","first-page":"13714","DOI":"10.1364\/OE.451656","article-title":"Efficient ordering of the Hadamard basis for single pixel imaging","volume":"30","author":"L\u00f3pez-Garc\u00eda","year":"2022","journal-title":"Optics Express"},{"key":"bef0ebd8c9d209579583e39ad414ded98"},{"key":"b278e52513fc07d4a663957d356a8dc05","doi-asserted-by":"publisher","first-page":"19619","DOI":"10.1364\/oe.25.019619","article-title":"Hadamard single-pixel imaging versus Fourier single-pixel imaging","volume":"25","author":"Zhang","year":"2017","journal-title":"Optics Express"},{"key":"b646930ee6964fac6c7a1d77567f89b32","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.nima.2015.07.060","article-title":"The gas electron multiplier (GEM): Operating principles and applications","volume":"805","author":"Sauli","year":"2016","journal-title":"Nucl. 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