Literature DB >> 30236642

Digital breast tomosynthesis: Image acquisition principles and artifacts.

Parvinder S Sujlana1, Mahadevappa Mahesh1, Srinivasan Vedantham2, Susan C Harvey1, Lisa A Mullen1, Ryan W Woods3.   

Abstract

Digital breast tomosynthesis (DBT) is a new technology that is being used more frequently for both breast cancer screening and diagnostic purposes and its utilization is likely to continue to increase over time. The major benefit of tomosynthesis over 2D-mammography is that it allows radiologists to view breast tissue using a three-dimensional dataset and improves diagnostic accuracy by facilitating differentiation of potentially malignant lesions from overlap of normal tissue. In addition, image processing techniques allow reconstruction of two dimensional synthesized mammograms (SM) from DBT data, which eliminates the need for acquiring two dimensional full field digital mammography (FFDM) in addition to tomosynthesis and thereby reduces the radiation dose. DBT systems incorporate a moveable x-ray tube, which moves in a prescribed way over a limited angular range to obtain three-dimensional data of patients' breasts, and utilize reconstruction algorithms. The limited angular range for DBT leads to incomplete sampling of the object, and a movable x-ray tube prolongs the imaging time, both of which make DBT and SM susceptible to artifacts. Understanding the etiology of these artifacts should help radiologists in reducing the number of artifacts and in differentiating a true finding from one related to an artifact, thus potentially decreasing recall rates and false positive rates. This is becoming especially important with increased incorporation of DBT in practices around the world. The goal of this article is to review the physics principles behind DBT systems and use these principles to explain the origin of artifacts that can limit diagnostic evaluation.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Artifacts; Digital breast tomosynthesis; Physics; Synthesized mammograms

Mesh:

Year:  2018        PMID: 30236642     DOI: 10.1016/j.clinimag.2018.07.013

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  5 in total

1.  Dedicated cone-beam breast CT using laterally-shifted detector geometry: Quantitative analysis of feasibility for clinical translation.

Authors:  Srinivasan Vedantham; Hsin-Wu Tseng; Souleymane Konate; Linxi Shi; Andrew Karellas
Journal:  J Xray Sci Technol       Date:  2020       Impact factor: 1.535

2.  Sparse-view, short-scan, dedicated cone-beam breast computed tomography: image quality assessment.

Authors:  Hsin Wu Tseng; Andrew Karellas; Srinivasan Vedantham
Journal:  Biomed Phys Eng Express       Date:  2020-09-28

3.  Radiation dosimetry of a clinical prototype dedicated cone-beam breast CT system with offset detector.

Authors:  Hsin Wu Tseng; Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2021-01-26       Impact factor: 4.506

4.  State-of-the-Art in Integrated Breast Imaging.

Authors:  Graziella Di Grezia; Gianluca Gatta; Luca Brunese; Giuseppe Falco
Journal:  Biomed Res Int       Date:  2019-01-06       Impact factor: 3.411

5.  A residual dense network assisted sparse view reconstruction for breast computed tomography.

Authors:  Zhiyang Fu; Hsin Wu Tseng; Srinivasan Vedantham; Andrew Karellas; Ali Bilgin
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

  5 in total

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