Vessel extraction from breast MRI

Marco Gierlinger, Dinah Brandner, Bernhard Zagar

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

We present an extension of the previous work, where a multi-seed region growing (MSRG) algorithm was shown, that extracts segments from breast MRI. The algorithm of our extended work filters elongated segments from the segments derived by the MSRG algorithm to obtain vessel-like structures. This filter is a skeletonization-like algorithm that collects useful information about the segments’ thickness, length, etc. A model is shown that scans through the solution space of the MSRG algorithm by adjusting its parameters and by providing shape information for the filter. We further elaborate on the usefulness of the algorithm to assist medical experts in their diagnosis of diseases relevant to angiography.
Original languageEnglish
Title of host publication5th International Conference on Optical Characterization of Materials (OCM 2021)
Editors Jürgen Beyerer, Thomas Längle
Place of PublicationKarlsruhe
PublisherKIT Scientific Publishing
Pages119 - 128
Number of pages10
ISBN (Print)978-3-7315-1081-9
DOIs
Publication statusPublished - Mar 2021

Fields of science

  • 202012 Electrical measurement technology
  • 102003 Image processing
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202027 Mechatronics
  • 202037 Signal processing

JKU Focus areas

  • Digital Transformation

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