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  • Fredenberg, Erik,PhD,1979-KTH,Medicinsk bildfysik (author)

Observer model optimization of a spectral mammography system

  • Article/chapterEnglish2010

Publisher, publication year, extent ...

  • SPIE,2010
  • electronicrdacarrier

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  • LIBRIS-ID:oai:DiVA.org:kth-28192
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-28192URI
  • https://doi.org/10.1117/12.845480DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Notes

  • QC 20110111
  • Spectral imaging is a method in medical x-ray imaging to extract information about the object constituents by the material-specific energy dependence of x-ray attenuation. Contrast-enhanced spectral imaging has been thoroughly investigated, but unenhanced imaging may be more useful because it comes as a bonus to the conventional non-energy-resolved absorption image at screening; there is no additional radiation dose and no need for contrast medium. We have used a previously developed theoretical framework and system model that include quantum and anatomical noise to characterize the performance of a photon-counting spectral mammography system with two energy bins for unenhanced imaging. The theoretical framework was validated with synthesized images. Optimal combination of the energy-resolved images for detecting large unenhanced tumors corresponded closely, but not exactly, to minimization of the anatomical noise, which is commonly referred to as energy subtraction. In that case, an ideal-observer detectability index could be improved close to 50% compared to absorption imaging. Optimization with respect to the signal-to-quantum-noise ratio, commonly referred to as energy weighting, deteriorated detectability. For small microcalcifications or tumors on uniform backgrounds, however, energy subtraction was suboptimal whereas energy weighting provided a minute improvement. The performance was largely independent of beam quality, detector energy resolution, and bin count fraction. It is clear that inclusion of anatomical noise and imaging task in spectral optimization may yield completely different results than an analysis based solely on quantum noise.

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Added entries (persons, corporate bodies, meetings, titles ...)

  • Åslund, MagnusSectra Mamea AB (author)
  • Cederström, BjörnKTH,Medicinsk bildfysik(Swepub:kth)u1oerth9 (author)
  • Lundqvist, MatsSectra Mamea AB (author)
  • Danielsson, MatsKTH,Medicinsk bildfysik(Swepub:kth)u1m3qe0f (author)
  • KTHMedicinsk bildfysik (creator_code:org_t)

Related titles

  • In:Medical Imaging 2010: SPIE9780819480231

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