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Portrait of Magnus Dustler. Photo

Magnus Dustler

Researcher

Portrait of Magnus Dustler. Photo

Artifact reduction in simultaneous tomosynthesis and mechanical imaging of the breast

Author

  • Predrag R. Bakic
  • Magnus Dustler
  • Daniel Förnvik
  • Pontus Timberg
  • Susan Ng
  • Andrew D.A. Maidment
  • Sophia Zackrisson
  • Anders Tingberg

Editor

  • Hilde Bosmans
  • Guang-Hong Chen
  • Taly Gilat Schmidt

Summary, in English

Mechanical imaging (MI) uses a pressure sensor array to estimate the stiffness of lesions. Recent clinical studies have suggested that MI combined with digital mammography may reduce false positive findings and negative biopsies by over 30%. Digital breast tomosynthesis (DBT) has been adopted progressively in cancer screening. The tomographic nature of DBT improves lesion visibility by reducing tissue overlap in reconstructed images. For maximum benefit, DBT and MI data should be acquired simultaneously; however, that arrangement produces visible artifacts in DBT images due to the presence of the MI sensor array. We propose a method for reducing artifacts during the DBT image reconstruction. We modified the parameters of a commercial DBT reconstruction engine and investigated the conspicuity of artifacts in the resultant images produced with different sensor orientations. The method was evaluated using a physical anthropomorphic phantom imaged on top of the sensor. Visual assessment showed a reduction of artifacts. In a quantitative test, we calculated the artifact spread function (ASF), and compared the ratio of the mean ASF values between the proposed and conventional reconstruction (termed ASF ratio, RASF). We obtained a mean RASF of 2.74, averaged between two analyzed sensor orientations (45° and 90°). The performance varied with the orientation and the type of sensor structures causing the artifacts. RASF for wide connection lines was larger at 45° than at 90° (5.15 vs. 1.00, respectively), while for metallic contacts RASF was larger at 90° than at 45° (3.31 vs. 2.21, respectively). Future work will include a detailed quantitative assessment, and further method optimization in virtual clinical trials.

Department/s

  • BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation
  • Diagnostic Radiology, (Lund)
  • Medical Radiation Physics, Lund
  • Radiology Diagnostics, Malmö

Publishing year

2019-03-01

Language

English

Publication/Series

Medical Imaging 2019 : Physics of Medical Imaging

Volume

10948

Document type

Conference paper

Publisher

SPIE

Topic

  • Medical Image Processing
  • Radiology, Nuclear Medicine and Medical Imaging

Keywords

  • Artifact reduction
  • Digital breast tomosynthesis
  • Image reconstruction
  • Mechanical imaging of the breast
  • Multimodality breast imaging
  • Optimization
  • Virtual clinical trials

Conference name

Medical Imaging 2019: Physics of Medical Imaging

Conference date

2019-02-17 - 2019-02-20

Conference place

San Diego, United States

Status

Published

Research group

  • Radiology Diagnostics, Malmö

ISBN/ISSN/Other

  • ISBN: 9781510625433