Introducing a novel image quality measure for digital phase-contrast-image evaluation

Satoru Matsuo, Hiroshi Fujita, Junji Morishita, Tetsuro Katafuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Recently, detective quantum efficiency (DQE) arising from the concept of signal-to-noise ratio (SNR) has been used for assessing digital x-ray imaging systems. Using a phase-shift of x-rays that occurs when passing through an object, digital phase contrast imaging (herein referred to as "phase imaging"), which involves magnification, can produce images different from those of standard contact imaging (herein referred to as "regular imaging"). For this reason, assessment of the image quality based on DQE which does not include the object information may not be appropriate to compare image quality between the phase images and the regular images. As an alternative method, we proposed a new image quality assessment method based on radial direction distribution function (RDDF) and signal intensity distribution function (SIDF) in two-dimensional power spectra of images that contain information of an object. To evaluate the usefulness of our method based on RDDF and SIDF, we assessed images of different contrast, noise characteristic and sharpness using simple phantoms. Our results showed that the accurate evaluation of these factors was successfully performed. Comparing the image quality of projected plant seeds by phase imaging and regular imaging, we found the phase imaging method provided higher image quality in terms of edge sharpness than that of the regular imaging.

Original languageEnglish
Title of host publicationDigital Mammography - 10th International Workshop, IWDM 2010, Proceedings
Number of pages8
Publication statusPublished - 2010
Event10th International Workshop on Digital Mammography, IWDM 2010 - Girona, Catalonia, Spain
Duration: Jun 16 2010Jun 18 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6136 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th International Workshop on Digital Mammography, IWDM 2010
CityGirona, Catalonia

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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