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Artifact reduction in simultaneous tomosynthesis and mechanical imaging of the breast

Bakic, Predrag R. ; Dustler, Magnus LU ; Förnvik, Daniel LU ; Timberg, Pontus LU ; Ng, Susan ; Maidment, Andrew D.A. ; Zackrisson, Sophia LU and Tingberg, Anders LU (2019) Medical Imaging 2019: Physics of Medical Imaging 10948.
Abstract

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... (More)

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.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Artifact reduction, Digital breast tomosynthesis, Image reconstruction, Mechanical imaging of the breast, Multimodality breast imaging, Optimization, Virtual clinical trials
host publication
Medical Imaging 2019 : Physics of Medical Imaging - Physics of Medical Imaging
editor
Bosmans, Hilde ; Chen, Guang-Hong ; Schmidt, Taly Gilat ; ; and
volume
10948
article number
109483X
publisher
SPIE
conference name
Medical Imaging 2019: Physics of Medical Imaging
conference location
San Diego, United States
conference dates
2019-02-17 - 2019-02-20
external identifiers
  • scopus:85068381751
ISBN
9781510625433
DOI
10.1117/12.2512743
language
English
LU publication?
yes
id
21f8b7e0-18c6-423d-8aed-abefca15ad11
date added to LUP
2019-07-17 13:23:59
date last changed
2020-01-13 02:14:15
@inproceedings{21f8b7e0-18c6-423d-8aed-abefca15ad11,
  abstract     = {<p>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.</p>},
  author       = {Bakic, Predrag R. and Dustler, Magnus and Förnvik, Daniel and Timberg, Pontus and Ng, Susan and Maidment, Andrew D.A. and Zackrisson, Sophia and Tingberg, Anders},
  booktitle    = {Medical Imaging 2019 : Physics of Medical Imaging},
  editor       = {Bosmans, Hilde and Chen, Guang-Hong and Schmidt, Taly Gilat},
  isbn         = {9781510625433},
  language     = {eng},
  month        = {03},
  publisher    = {SPIE},
  title        = {Artifact reduction in simultaneous tomosynthesis and mechanical imaging of the breast},
  url          = {http://dx.doi.org/10.1117/12.2512743},
  doi          = {10.1117/12.2512743},
  volume       = {10948},
  year         = {2019},
}