Improvement of CAD Scheme for Detection of Lacunar Infarcts on MR images By Using Template Matching

DOI
  • ABE Akiko
    Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
  • UCHIYAMA Yoshikazu
    Department of Medical Physics, Faculty of Life Science, Kumamoto University
  • MURAMATSU Chisako
    Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
  • HARA Takeshi
    Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
  • SHIRAISHI Junji
    Department of Medical Physics, Faculty of Life Science, Kumamoto University
  • FUJITA Hiroshi
    Department of Intelligent Image Information, Graduate School of Medicine, Gifu University

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  • テンプレートマッチングを用いたラクナ梗塞検出のためのコンピュータ支援診断システムの改良

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Abstract

The detection of lacunar infarcts is important because their presence indicates an increased risk of severe cerebral infarction. However, their accurate identification is often hard because of the difficulty in distinguishing between lacunar infarcts and Virchow-Robin spaces. The purpose of this study is to improve our CAD scheme by using template matching for reduction of false positives (FPs) . Our database comprised 1,143 T1- and 1,143 T2-weighted images obtained from 132 patients. The proposed method was evaluated by using 2 hold cross validation method. As a result, 17.1％ of FPs were eliminated more by adding the template matching to our previous CAD scheme. Conclusively, the sensitivity of the detection of lacunar infarcts was 96.8％ (90／93) with 0.59 FP per slice image. Our improved CAD scheme would be useful in assisting radiologists for identifying lacunar infarcts in MR images.

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