The effects of gray scale image processing on digital mammography interpretation performance.

Journal Article

RATIONALE AND OBJECTIVES: To determine the effects of three image-processing algorithms on diagnostic accuracy of digital mammography in comparison with conventional screen-film mammography. MATERIALS AND METHODS: A total of 201 cases consisting of nonprocessed soft copy versions of the digital mammograms acquired from GE, Fischer, and Trex digital mammography systems (1997-1999) and conventional screen-film mammograms of the same patients were interpreted by nine radiologists. The raw digital data were processed with each of three different image-processing algorithms creating three presentations-manufacturer's default (applied and laser printed to film by each of the manufacturers), MUSICA, and PLAHE-were presented in soft copy display. There were three radiologists per presentation. RESULTS: Area under the receiver operating characteristic curve for GE digital mass cases was worse than screen-film for all digital presentations. The area under the receiver operating characteristic for Trex digital mass cases was better, but only with images processed with the manufacturer's default algorithm. Sensitivity for GE digital mass cases was worse than screen film for all digital presentations. Specificity for Fischer digital calcifications cases was worse than screen film for images processed in default and PLAHE algorithms. Specificity for Trex digital calcifications cases was worse than screen film for images processed with MUSICA. CONCLUSION: Specific image-processing algorithms may be necessary for optimal presentation for interpretation based on machine and lesion type.

Full Text

Duke Authors

Cited Authors

  • Cole, EB; Pisano, ED; Zeng, D; Muller, K; Aylward, SR; Park, S; Kuzmiak, C; Koomen, M; Pavic, D; Walsh, R; Baker, J; Gimenez, EI; Freimanis, R

Published Date

  • May 2005

Published In

Volume / Issue

  • 12 / 5

Start / End Page

  • 585 - 595

PubMed ID

  • 15866131

International Standard Serial Number (ISSN)

  • 1076-6332

Digital Object Identifier (DOI)

  • 10.1016/j.acra.2005.01.017

Language

  • eng

Conference Location

  • United States