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Inverse Problems and Imaging (IPI)
 

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

Pages: 491 - 505, Volume 8, Issue 2, May 2014      doi:10.3934/ipi.2014.8.491

 
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Hyeuknam Kwon - Department of Computational Science and Engineering, Yonsei University, South Korea (email)
Yoon Mo Jung - Department of Computational Science and Engineering, Yonsei University, South Korea (email)
Jaeseok Park - Department of Brain and Cognitive Engineering, Korea University, South Korea (email)
Jin Keun Seo - Department of Computational Science and Engineering, Yonsei University, South Korea (email)

Abstract: This paper presents a new computer-aided method for detection of brain metastases at early-stage (diameter less than $6$mm) 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.

Keywords:  Computer-aided detection, filtering function, segmentation, brain metastases, MRI.
Mathematics Subject Classification:  00A69, 00A66, 94A08.

Received: February 2012;      Revised: February 2013;      Available Online: May 2014.

 References