Computer-Aided Detection of Metastatic Brain Tumors Using Magnetic Resonance Black-Blood Imaging
- Authors
- Yang, Seungwook; Nam, Yoonho; Kim, Min-Oh; Kim, Eung Yeop; Park, Jaeseok; Kim, Dong-Hyun
- Issue Date
- 2월-2013
- Publisher
- LIPPINCOTT WILLIAMS & WILKINS
- Keywords
- brain metastases; computer-aided detection; black-blood imaging; MP-RAGE; artificial neural network
- Citation
- INVESTIGATIVE RADIOLOGY, v.48, no.2, pp.113 - 119
- Indexed
- SCIE
SCOPUS
- Journal Title
- INVESTIGATIVE RADIOLOGY
- Volume
- 48
- Number
- 2
- Start Page
- 113
- End Page
- 119
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/104140
- DOI
- 10.1097/RLI.0b013e318277f078
- ISSN
- 0020-9996
- Abstract
- Objectives: The objective of this study was to develop a computer-aided detection system for automated brain metastases detection using magnetic resonance black-blood imaging and compare its applicability with conventional magnetization-prepared rapid gradient echo (MP-RAGE) imaging. Materials and Methods: Twenty-six patients with brain metastases were imaged with a contrast-enhanced, 3-dimensional, whole-brain magnetic resonance black-blood pulse sequence. Approval from the institutional review board and informed consent from the patients were obtained. Preprocessing steps included B1 inhomogeneity correction and brain extraction. The computer-aided detection system used 3-dimensional template matching, which measured normalized cross-correlation coefficient to generate possible metastases candidates. An artificial neural network was used for classification after various volume features were extracted. The same detection procedure was tested with contrast-enhanced MP-RAGE, which was also acquired from the same patients. Results: The performance of the proposed detection method was measured by the area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity values. In the black-blood case, detection process displayed an AUROC of 0.9355, a sensitivity value of 81.1%, and a specificity value of 98.2%. Magnetization-prepared rapid gradient echo data showed an AUROC of 0.6508, a sensitivity value of 30.2%, and a specificity value of 99.97%. Conclusions: The results demonstrate that accurate automated detection of metastatic brain tumors using contrast-enhanced black-blood imaging sequence is possible compared with using conventional contrast-enhanced MP-RAGE sequence.
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Collections - Graduate School > Department of Brain and Cognitive Engineering > 1. Journal Articles
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