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Automated localization of breast cancer in DCE-MRI

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is increasingly being used for the detection and diagnosis of breast cancer. Compared to mammography, DCE-MRI provides higher sensitivity, however its specificity is variable. Moreover, DCE-MRI data analysis is time consuming and depends on reader expertise. The aim of this work is to propose a novel automated breast cancer localization system for DCE-MRI. Such a system can be used to support radiologists in DCE-MRI analysis by marking suspicious areas. The proposed method initially corrects for motion artifacts and segments the breast. Subsequently, blob and relative enhancement voxel features are used to locate lesion candidates. Finally, a malignancy score for each lesion candidate is obtained using region-based morphological and kinetic features computed on the segmented lesion candidate. We performed experiments to compare the use of different classifiers in the region classification stage and to study the effect of motion correction in the presented system. The performance of the algorithm was assessed using free-response operating characteristic (FROC) analysis. For this purpose, a dataset of 209 DCE-MRI studies was collected. It is composed of 95 DCE-MRI studies with 105 breast cancers (55 mass-like and 50 non-mass-like malignant lesions) and 114 DCE-MRI studies from women participating in a screening program which were diagnosed to be normal. At 4 false positives per normal case, 89% of the breast cancers (91% and 86% for mass-like and non-mass-like malignant lesions, respectively) were correctly detected

The research leading to these results has received funding from the European Unions Seventh Framework Programme FP7 under Grant Agreement No. 306088. Albert Gubern-Mérida held a FPU Grant AP2009-2835

© Medical Image Analysis, 2015, vol. 20, núm. 1, p. 265-274

Elsevier

Autor: Gubern Mérida, Albert
Martí Marly, Robert
Meléndez, Jaime
Hauth, Jakob L.
Mann, Ritse M.
Karssemeijer, Nico
Platel, Bram
Data: 1 febrer 2015
Resum: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is increasingly being used for the detection and diagnosis of breast cancer. Compared to mammography, DCE-MRI provides higher sensitivity, however its specificity is variable. Moreover, DCE-MRI data analysis is time consuming and depends on reader expertise. The aim of this work is to propose a novel automated breast cancer localization system for DCE-MRI. Such a system can be used to support radiologists in DCE-MRI analysis by marking suspicious areas. The proposed method initially corrects for motion artifacts and segments the breast. Subsequently, blob and relative enhancement voxel features are used to locate lesion candidates. Finally, a malignancy score for each lesion candidate is obtained using region-based morphological and kinetic features computed on the segmented lesion candidate. We performed experiments to compare the use of different classifiers in the region classification stage and to study the effect of motion correction in the presented system. The performance of the algorithm was assessed using free-response operating characteristic (FROC) analysis. For this purpose, a dataset of 209 DCE-MRI studies was collected. It is composed of 95 DCE-MRI studies with 105 breast cancers (55 mass-like and 50 non-mass-like malignant lesions) and 114 DCE-MRI studies from women participating in a screening program which were diagnosed to be normal. At 4 false positives per normal case, 89% of the breast cancers (91% and 86% for mass-like and non-mass-like malignant lesions, respectively) were correctly detected
The research leading to these results has received funding from the European Unions Seventh Framework Programme FP7 under Grant Agreement No. 306088. Albert Gubern-Mérida held a FPU Grant AP2009-2835
Format: application/pdf
Cita: 022525
ISSN: 1361-8415 (versió paper)
1361-8423 (versió electrònica)
Accés al document: http://hdl.handle.net/10256/13215
Llenguatge: eng
Editor: Elsevier
Col·lecció: Reproducció digital del document publicat a: http://dx.doi.org/10.1016/j.media.2014.12.001
Articles publicats (D-ATC)
info:eu-repo/grantAgreement/EC/FP7/306088
És part de: © Medical Image Analysis, 2015, vol. 20, núm. 1, p. 265-274
Drets: Tots els drets reservats
Matèria: Imatgeria mèdica
Imaging systems in medicine
Imatges digitals
Digital images
Mama -- Càncer -- Imatgeria
Breast -- Cancer -- Imaging
Títol: Automated localization of breast cancer in DCE-MRI
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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