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 journalArticlepeer-review

    4 Citations (Scopus)

    Abstract

    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
    Volume8
    Issue number2
    DOIs
    Publication statusPublished - 2014 May

    Keywords

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

    ASJC Scopus subject areas

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

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