Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging Álvarez Illán, Ignacio Ramírez Pérez De Inestrosa, Javier Gorriz Sáez, Juan Manuel Marino, Maria Adele Avendano, Daly Helbich, Thomas Baltzer, Pascal Pinker, Katja Meyer-Baese, Anke COMPUTER-AIDED DIAGNOSIS DCE-MRI DATA LESION SEGMENTATION COMPONENT ANALYSIS Cáncer Nonmass-enhancing (NME) lesions constitute a diagnostic challenge in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast. Computer-aided diagnosis (CAD) systems provide physicians with advanced tools for analysis, assessment, and evaluation that have a significant impact on the diagnostic performance. Here, we propose a new approach to address the challenge of NME lesion detection and segmentation, taking advantage of independent component analysis (ICA) to extract data-driven dynamic lesion characterizations. A set of independent sources was obtained from the DCE-MRI dataset of breast cancer patients, and the dynamic behavior of the different tissues was described by multiple dynamic curves, together with a set of eigenimages describing the scores for each voxel. A new test image is projected onto the independent source space using the unmixing matrix, and each voxel is classified by a support vector machine (SVM) that has already been trained with manually delineated data. A solution to the high false-positive rate problem is proposed by controlling the SVM hyperplane location, outperforming previously published approaches. 2019-10-09T12:03:27Z 2019-10-09T12:03:27Z 2018-10-24 journal article Illan, I. A., Ramirez, J., Gorriz, J. M., Marino, M. A., Avendano, D., Helbich, T., ... & Meyer-Baese, A. (2018). Automated Detection and Segmentation of Nonmass-Enhancing Breast Tumors with Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Contrast media & molecular imaging, 2018. http://hdl.handle.net/10481/57274 10.1155/2018/5308517 eng 656886 667211-2 http://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España CONTRAST MEDIA & MOLECULAR IMAGING