Preliminary Study of Optimal Ultrasound Parameter Selection and Automated Breast Cancer Detection by Lesser Trained Operators

Erica Schwarz1, Seth Billings2, Susan Harvey3, Philippe Burlina

  • 1Johns Hopkins University Applied Physics Laboratory
  • 2JHU/APL
  • 3Johns Hopkins Medicine Department of Radiology

Details

Category

1-Page Extended Abstract (Poster)

Sessions

09:05 - 09:55 | Thu 16 Feb | Ballroom D | ThRAF

Rapid Fire Session 01: Imaging Informatics

Abstract

Ultrasound (US) is safe, portable, durable, and low-cost. These factors make it ideal for applications such as breast cancer detection by non-physicians in low- and middle-income countries (LMICs). To enable this application, we have initiated a study focused on the following goals: the computer-assisted detection (CAD) of breast lesions and the optimal selection of US parameters. We also investigated the performance benefits of exploiting US signals for a plurality of US acquisition parameters.

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