Breast density assessment using breast tomosynthesis images

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4 Citations (SciVal)


In this work we evaluate an approach for breast density assessment of digital breast tomosynthesis (DBT) data using the central projection image. A total of 348 random cases (both FFDM CC and MLO views and DBT MLO views) were collected using a Siemens Mammomat Inspiration tomosynthesis unit at Unilabs, Malmö. The cases underwent both BI-RADS 5th Edition labeling by radiologists and automated volumetric breast density analysis (VBDA) by an algorithm. Preliminary results showed an observed agreement of 70% (weighted Kappa, κ = 0.73) between radiologists and VBDA using FFDM images and 63% (κ = 0.62) for radiologists and VBDA using DBT images. Comparison between densities for FFDM and DBT resulted in high correlation (r = 0.94) and an observed agreement of 72% (κ = 0.76). The automated analysis is a promising approach using low dose central projection DBT images in order to get radiologist- like density ratings similar to results obtained from FFDM.

Original languageEnglish
Title of host publicationBreast Imaging
Subtitle of host publication13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings
EditorsAnders Tingberg, Kristina Lång, Pontus Timberg
Number of pages6
ISBN (Electronic)978-3-319-41546-8
ISBN (Print)9783319415451
Publication statusPublished - 2016
Event13th International Workshop on Breast Imaging, IWDM 2016 - Malmo, Sweden
Duration: 2016 Jun 192016 Jun 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference13th International Workshop on Breast Imaging, IWDM 2016

Subject classification (UKÄ)

  • Radiology, Nuclear Medicine and Medical Imaging


  • Breast density
  • Breast tomosynthesis
  • Mammography


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