title: Computer-aided detection of brain metastases using a three-dimensional template-based matching algorithm.
abstract: 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%.
authors.forename: Ursula
authors.initials: U
authors.lastname: Perez-Ramirez
authors.forename: Estanislao
authors.initials: E
authors.lastname: Arana
authors.forename: David
authors.initials: D
authors.lastname: Moratal
mesh_terms: D000368:Aged; D000465:Algorithms; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000556:secondary*; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male