A new computer-aided method for detecting brain metastases on contrast-enhanced MR images

Hyeuknam Kwon, Yoon Mo Jung, Jaeseok Park, Jin Keun Seo

Research output: Contribution to journalArticle

4 Citations (Scopus)


This paper presents a new computer-aided method for detection of brain metastases at early-stage (diameter less than 6mm) on MR images. The proposed detection method has a high level of sensitivity with a relatively low number of false-positives. The strong detection capability of the method is possible due to a size filtering function that sorts out metastases based on the geometry and size. In experiments, we used whole-brain MR data acquired with a contrast-enhanced black-blood type MR imaging technique, which enables distinction of brain metastases from blood vessels. The proposed method performed highly in analysis of the results of experimental MR data and numerical simulation. Because the proposed method has unique features, it could be used in combination with a complementary pre-existing technique.

Original languageEnglish
Pages (from-to)491-505
Number of pages15
JournalInverse Problems and Imaging
Issue number2
Publication statusPublished - 2014 Jan 1



  • Brain metastases
  • Computer-aided detection
  • Filtering function
  • MRI
  • Segmentation

ASJC Scopus subject areas

  • Analysis
  • Control and Optimization
  • Discrete Mathematics and Combinatorics
  • Modelling and Simulation

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