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.
|Number of pages||15|
|Journal||Inverse Problems and Imaging|
|Publication status||Published - 2014 May|
All Science Journal Classification (ASJC) codes
- Modelling and Simulation
- Discrete Mathematics and Combinatorics
- Control and Optimization