Computer aided analysis of breast MRI enhancement kinetics using mean shift c lustering and multifeature iterative region of interest selection
Publication year
2012Source
Journal of Magnetic Resonance Imaging, 36, (2012), pp. 1104-1112ISSN
Publication type
Article / Letter to editor
![https://hdl.handle.net/2066/110666](https://cdn.statically.io/img/repository.ubn.ru.nl/themes/Mirage2//images/copy.png)
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Organization
Radiology
Data Science
Journal title
Journal of Magnetic Resonance Imaging
Volume
vol. 36
Page start
p. 1104
Page end
p. 1112
Subject
Data Science; NCMLS 4: Energy and redox metabolism ONCOL 5: Aetiology, screening and detection; ONCOL 5: Aetiology, screening and detection; Medical Imaging - Radboud University Medical CenterAbstract
PURPOSE: To evaluate automatic characterization of a breast MR lesion by its spatially coherent region of interest (ROI). MATERIALS AND METHODS: The method delineated 247 enhancing lesions using Otsu thresholding after manually placing a sphere. Mean Shift Clustering subdivided each volume, based on features including pharmacokinetic parameters. An iteratively trained classifier to predict the most suspicious ROI (IsR) was used, to predict the malignancy likelihood of each lesion. Performance was evaluated using receiver operator characteristic (ROC) analysis, and compared with a previous prototype. IsR was compared with noniterative training. The effect of adding BI-RADS� morphology (from a radiologist) to the classifier was investigated. RESULTS: The area under the ROC curve (AUC) was 0.83 (95\% confidence interval [CI] of 0.77-0.88), and was 0.75 (95\%CI = 0.68-0.81; P = 0.029) without pharmacokinetic features. IsR performed better than conventional selection, based on one feature (AUC 0.75, 95\%CI = 0.68-0.81; P = 0.035). With morphology, the AUC was 0.84 (95\%CI = 0.78-0.88) versus 0.82 without (P = 0.40). CONCLUSION: Breast lesions can be characterized by their most suspicious, contiguous ROI using multi-feature clustering and iterative training. Characterization was improved by including pharmacokinetic modeling, while in our experiments, including morphology did not improve characterization. J. Magn. Reson. Imaging 2012;. � 2012 Wiley Periodicals, Inc.
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- Faculty of Medical Sciences [91954]
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