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Suitable Post Processing Algorithms for X-Ray Imaging using Oversampled Displaced Multiple Images
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
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2011 (English)In: Journal of Instrumentation, ISSN 1748-0221, E-ISSN 1748-0221, Vol. 6, no 2, Art. no. C02001- p.Article in journal (Refereed) Published
Abstract [en]

X-ray imaging systems such as photon counting pixel detectors have a limited spatial resolution of the pixels, based on the complexity and processing technology of the readout electronics. For X-ray imaging situations where the features of interest are smaller than the imaging system pixel size, and the pixel size cannot be made smaller in the hardware, alternative means of resolution enhancement require to be considered. Oversampling with the usage of multiple displaced images, where the pixels of all images are mapped to a final resolution enhanced image, has proven a viable method of reaching a sub-pixel resolution exceeding the original resolution. The effectiveness of the oversampling method declines with the number of images taken, the sub-pixel resolution increases, but relative to a real reduction of imaging pixel sizes yielding a full resolution image, the perceived resolution from the sub-pixel oversampled image is lower. This is because the oversampling method introduces blurring noise into the mapped final images, and the blurring relative to full resolution images increases with the oversampling factor. One way of increasing the performance of the oversampling method is by sharpening the images in post processing. This paper focus on characterizing the performance increase of the oversampling method after the use of some suitable post processing filters, for digital X-ray images specifically. The results show that spatial domain filters and frequency domain filters of the same type yield indistinguishable results, which is to be expected. The results also show that the effectiveness of applying sharpening filters to oversampled multiple images increase with the number of images used (oversampling factor), leaving 60-80% of the original blurring noise after filtering a 6 x 6 mapped image (36 images taken), where the percentage is depending on the type of filter. This means that the effectiveness of the oversampling itself increase by using sharpening filters, and more images taken can be considered worth the effort.

Place, publisher, year, edition, pages
2011. Vol. 6, no 2, Art. no. C02001- p.
Keyword [en]
Image filtering; Image reconstruction in medical imaging
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-12839DOI: 10.1088/1748-0221/6/02/C02001ISI: 000287860600002Scopus ID: 2-s2.0-79952679737Local ID: STCOAI: oai:DiVA.org:miun-12839DiVA: diva2:378478
Conference
12th International Workshop on Radiation Imaging Detectors, Jul 11-15, 2010, Cambridge, England
Note

12th International Workshop on Radiation Imaging Detectors, Jul 11-15, 2010, Cambridge, England

Available from: 2010-12-15 Created: 2010-12-15 Last updated: 2016-10-14Bibliographically approved

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Thim, JanReza, SalimNawaz, KhalidNorlin, BörjeO´Nils, MattiasOelmann, Bengt
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