Pérez-Ramírez, MÚ.; Arana Fernandez De Moya, E.; Moratal Pérez, D. (2016). Brain metastases detection on MR by means of three-dimensional tumor-appearance template matching. Journal of Magnetic Resonance Imaging. 44(3):642-652. https://doi.org/10.1002/jmri.25207
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84998
Title:
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Brain metastases detection on MR by means of three-dimensional tumor-appearance template matching
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Author:
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Pérez-Ramírez, María Úrsula
Arana Fernandez de Moya, Estanislao
Moratal Pérez, David
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
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Issued date:
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Abstract:
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PurposeTo develop and evaluate a method for an automatic detection of brain metastases in MR images.
Materials and MethodsNineteen patients were scanned using a 1.5 Tesla MR scanner. Two radiologists and a radiation ...[+]
PurposeTo develop and evaluate a method for an automatic detection of brain metastases in MR images.
Materials and MethodsNineteen patients were scanned using a 1.5 Tesla MR scanner. Two radiologists and a radiation oncologist marked the location of the brain metastases. The training group consisted of eight patients harboring 20 metastases. First, three-dimensional (3D) tumor-appearance templates were cross-correlated with MR brain images to evaluate their similarity, and a correlation threshold was established for metastasis candidates. Afterward, a method to reduce false positive rate (FPR) was applied: each detected object was segmented and its degree of anisotropy (DA) was obtained, removing the elongated structures with a DA above the optimal value from the receiver operating characteristic curve. Finally, the method was statistically validated in two groups: 11 patients with 42 brain metastases and 11 patients without metastases.
ResultsThe method led to a sensitivity of 80% and an FPR per slice of 0.023 and 2.75 per patient in the training group. In the first validation group, a sensitivity of 88.10% and an FPR per slice of 0.05 corresponding to 6.91 false positives per patient were obtained. DA implementation decreased 3.5 times FPR compared with templates alone. It improved the radiologist's performance in metastases less than 10mm from 89-93% to 100%. In the second validation group the FPR was 0.04 per slice and 5.18 per patient.
ConclusionThis method demonstrates that 3D template matching applying DA technique has high sensitivity and low FPR for detecting brain metastases in MR images. J. Magn. Reson. Imaging 2016;44:642-652.
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Subjects:
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Brain metastasis
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Computer-aided detection
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Degree of anisotropy
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Magnetic resonance imaging
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Template matching
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Copyrigths:
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Cerrado |
Source:
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Journal of Magnetic Resonance Imaging. (issn:
1053-1807
) (eissn:
1522-2586
)
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DOI:
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10.1002/jmri.25207
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Publisher:
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Wiley
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Publisher version:
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http://doi.org/10.1002/jmri.25207
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Project ID:
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info:eu-repo/grantAgreement/MINECO//TEC2012-33778/ES/CARACTERIZACION CUANTITATIVA DE LA METASTASIS VERTEBRAL MEDIANTE ANALISIS DE IMAGEN DE TC Y MODELADO POR ELEMENTOS FINITOS PARA LA DETERMINACION DEL RIESGO DE FRACTURA/
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Thanks:
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Contract grant sponsor: Spanish Ministerio de Economia y Competitividad (MINECO); contract grant number: TEC2012-33778; Contract grant sponsor: FEDER
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Type:
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Artículo
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