Literature DB >> 15866131

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

Elodia B Cole1, Etta D Pisano, Donglin Zeng, Keith Muller, Stephen R Aylward, Sungwook Park, Cherie Kuzmiak, Marcia Koomen, Dag Pavic, Ruth Walsh, Jay Baker, Edgardo I Gimenez, Rita Freimanis.   

Abstract

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.

Entities:  

Mesh:

Year:  2005        PMID: 15866131     DOI: 10.1016/j.acra.2005.01.017

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  9 in total

1.  Consistency of visual assessments of mammographic breast density from vendor-specific "for presentation" images.

Authors:  Mohamed Abdolell; Kaitlyn Tsuruda; Christopher B Lightfoot; Eva Barkova; Melanie McQuaid; Judy Caines; Sian E Iles
Journal:  J Med Imaging (Bellingham)       Date:  2015-10-30

2.  Issues to consider in converting to digital mammography.

Authors:  Etta D Pisano; Margarita Zuley; Janet K Baum; Helga S Marques
Journal:  Radiol Clin North Am       Date:  2007-09       Impact factor: 2.303

3.  The effect of Premium View post-processing software on digital mammographic reporting.

Authors:  E J Goldstraw; I Castellano; S Ashley; S Allen
Journal:  Br J Radiol       Date:  2009-06-22       Impact factor: 3.039

4.  Comparison of visual grading and free-response ROC analyses for assessment of image-processing algorithms in digital mammography.

Authors:  F Zanca; C Van Ongeval; F Claus; J Jacobs; R Oyen; H Bosmans
Journal:  Br J Radiol       Date:  2012-07-27       Impact factor: 3.039

5.  Effect of image quality on calcification detection in digital mammography.

Authors:  Lucy M Warren; Alistair Mackenzie; Julie Cooke; Rosalind M Given-Wilson; Matthew G Wallis; Dev P Chakraborty; David R Dance; Hilde Bosmans; Kenneth C Young
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

Review 6.  Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.

Authors:  Krzysztof J Geras; Ritse M Mann; Linda Moy
Journal:  Radiology       Date:  2019-09-24       Impact factor: 11.105

7.  How does image quality affect radiologists' perceived ability for image interpretation and lesion detection in digital mammography?

Authors:  Joana Boita; Ruben E van Engen; Alistair Mackenzie; Anders Tingberg; Hilde Bosmans; Anetta Bolejko; Sophia Zackrisson; Matthew G Wallis; Debra M Ikeda; Chantal Van Ongeval; Ruud Pijnappel; Mireille Broeders; Ioannis Sechopoulos
Journal:  Eur Radiol       Date:  2021-01-21       Impact factor: 5.315

8.  Increase in perceived case suspiciousness due to local contrast optimisation in digital screening mammography.

Authors:  Roelant Visser; Wouter J H Veldkamp; David Beijerinck; Petra A M Bun; Jan J M Deurenberg; Mechli W Imhof-Tas; Klaas H Schuur; Miranda M Snoeren; Gerard J den Heeten; Nico Karssemeijer; Mireille J M Broeders
Journal:  Eur Radiol       Date:  2011-11-10       Impact factor: 5.315

9.  Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study.

Authors:  Su Min Ha; Hak Hee Kim; Eunhee Kang; Bo Kyoung Seo; Nami Choi; Tae Hee Kim; You Jin Ku; Jong Chul Ye
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-12-11
  9 in total

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