Dose and spatial resolution analysis of grating-based phase-contrast mammography using an inverse Compton x-ray source

Lisa Heck, Elena Eggl, Susanne Grandl, Martin Dierolf, Christoph Jud, Benedikt Günther, Klaus Achterhold, Doris Mayr, Bernhard Gleich, Karin Hellerhoff, Franz Pfeiffer, Julia Herzen

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Although the mortality rate of breast cancer was reduced with the introduction of screening mammography, many women undergo unnecessary subsequent examinations due to inconclusive diagnoses. Superposition of anatomical structures especially within dense breasts in conjunction with the inherently low soft tissue contrast of absorption images compromises image quality. This can be overcome by phase-contrast imaging. Approach: We analyze the spatial resolution of grating-based multimodal mammography using a mammographic phantom and one freshly dissected mastectomy specimen at an inverse Compton x-ray source. Here, the focus was on estimating the spatial resolution with the sample in the beam path and discussing benefits and drawbacks of the method used and the estimation of the mean glandular dose. Finally, the possibility of improving the spatial resolution is investigated by comparing monochromatic grating-based mammography with the standard one. Results: The spatial resolution is constant or also higher for the image acquired with monochromatic radiation and the contrast-to-noise ratio (CNR) is higher in our approach while the dose can be reduced by up to 20%. Conclusions: In summary, phase-contrast imaging helps to improve tumor detection by advanced diagnostic image quality. We demonstrate a higher spatial resolution for one mastectomy specimen and increased CNR at an equal or lower dose for the monochromatic measurements.

Original languageEnglish
Article number023505
JournalJournal of Medical Imaging
Volume7
Issue number2
DOIs
StatePublished - 1 Mar 2020

Keywords

  • Inverse Compton x-rays
  • Mammography
  • Phase-contrast imaging
  • Radiation
  • Spatial resolution

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