title: [Computer-aided detection of metastatic brain tumors in magnetic resonance images].
abstract: The fact that accurate detection of metastatic brain tumors is important for making decisions on the treatment course of patients prompted us to develop a computer-aided diagnostic scheme for detecting metastatic brain tumors. In this paper, we first describe how we extracted the cerebral parenchyma region using a standard deviation filter. Second, initial candidates for tumors were decided by sphericity and cross-correlation value with a simulated ring template. Third, we made true positive and false positive templates obtained from actual clinical images and applied the template matching technique to them. Finally, we detected metastatic tumors using these two characteristics. Our improved method was applied to 13 cases with 97 brain metastases. Sensitivity of detection of metastatic brain tumors was 80.4%, with 5.6 false positives per patient. Our proposed method has potential for detection of metastatic brain tumors in brain magnetic resonance (MR) images.
authors.affiliation: Graduate School of Health Sciences, Kumamoto University.
authors.forename: Tomomi
authors.initials: T
authors.lastname: Takenaga
authors.forename: Yoshikazu
authors.initials: Y
authors.lastname: Uchiyama
authors.forename: Toshinori
authors.initials: T
authors.lastname: Hirai
authors.forename: Hideo
authors.initials: H
authors.lastname: Nakamura
authors.forename: Yutaka
authors.initials: Y
authors.lastname: Kai
authors.forename: Shigehiko
authors.initials: S
authors.lastname: Katsuragawa
authors.forename: Junji
authors.initials: J
authors.lastname: Shiraishi
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001921:Brain / Q000473:pathology; D001932:Brain Neoplasms / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009362:Neoplasm Metastasis