Deformable Mapping Method to Relate Lesions in Dedicated Breast CT Images to Those in Automated Breast Ultrasound and Digital Breast Tomosynthesis Images

Crystal A. Green, Mitchell M. Goodsitt, Jasmine H. Lau, Kristy K. Brock, Cynthia L. Davis, Paul L. Carson

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This work demonstrates the potential for using a deformable mapping method to register lesions between dedicated breast computed tomography (bCT) and both automated breast ultrasound (ABUS) and digital breast tomosynthesis (DBT) images (craniocaudal [CC] and mediolateral oblique [MLO] views). Two multi-modality breast phantoms with external fiducial markers attached were imaged by the three modalities. The DBT MLO view was excluded for the second phantom. The automated deformable mapping algorithm uses biomechanical modeling to determine corresponding lesions based on distances between their centers of mass (dCOM) in the deformed bCT model and the reference model (DBT or ABUS). For bCT to ABUS, the mean dCOM was 5.2 ± 2.6 mm. For bCT to DBT (CC), the mean dCOM was 5.1 ± 2.4 mm. For bCT to DBT (MLO), the mean dCOM was 4.7 ± 2.5 mm. This application could help improve a radiologist's efficiency and accuracy in breast lesion characterization, using multiple imaging modalities.

Original languageEnglish (US)
Pages (from-to)750-765
Number of pages16
JournalUltrasound in Medicine and Biology
Volume46
Issue number3
DOIs
StatePublished - Mar 2020

Keywords

  • Automated breast ultrasound
  • Biomechanical modeling
  • Breast CT
  • Breast imaging
  • Deformable registration
  • Digital breast tomosynthesis
  • External markers
  • Multi-modality

ASJC Scopus subject areas

  • Biophysics
  • Radiological and Ultrasound Technology
  • Acoustics and Ultrasonics

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