Computer-Aided Detection of Brain Metastases using a Three-Dimensional Template-Based Matching Algorithm

The purpose of this work was to develop an algorithm for detecting brain metastases in magnetic resonance imaging (MRI), emphasizing the reduction of false positives. Firstly, three-dimensional templates were cross-correlated with the brain volume. Afterwards, each lesion candidate was segmented in the three orthogonal views as a previous step to remove elongated structures such as blood vessels. In a database containing 19 patients and 62 brain metastases, detection algorithm showed a sensitivity of 93.55%. After applying the method for false positive reduction, encouraging results were obtained: false positive rate per slice decreased from 0.64 to 0.15 and only one metastasis was removed, leading to a sensitivity of 91.94%.Pérez Ramírez, MÚ.; Arana Fernandez De Moya, E.; Moratal Pérez, D. (2014). Computer-Aided Detection of Brain Metastases using a Three-Dimensional Template-Based Matching Algorithm. IEEE Engineering in Medicine and Biology Society. Conference Proceedings. 2014:2384-2387. doi:10.1109/EMBC.2014.694410123842387201