Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: a feasibility study

M. J. A. Jansen, H.J. Kuijf, J. P. W. Pluim

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1 Citaat (Scopus)


Focal liver lesion classification is an important part of diagnostics. In clinical practice, T2-weighted (T2W) and dynamic contrast enhanced (DCE) MR images are used to determine the type of lesion. For automatic liver lesion classification only T2W images are exploited. In this feasibility study, a multi-modal approach for automatic lesion classification of five lesion classes (adenoma, cyst, haemangioma, HCC, and metastasis) is studied. Features are derived from four sets: (A) non-corrected, and (B) motion corrected DCE-MRI, (C) T2W images, and (D) B+C combined, originating from 43 patients. An extremely randomized forest is used as classifier. The results show that motion corrected DCE-MRI features are a valuable addition to the T2W features, and improve the accuracy in discriminating benign and malignant lesions, as well as the classification of the five lesion classes. The multimodal approach shows promising results for an automatic liver lesion classification.
Originele taal-2Engels
Titel2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's4
ISBN van elektronische versie978-1-5386-3636-7
ISBN van geprinte versie978-1-5386-3637-4
StatusGepubliceerd - 23 mei 2018
Evenement15th IEEE International Symposium on Biomedical Imaging (ISBI 2018) - Omni Shoreham Hotel, Washington, Verenigde Staten van Amerika
Duur: 4 apr 20187 apr 2018
Congresnummer: 15


Congres15th IEEE International Symposium on Biomedical Imaging (ISBI 2018)
Verkorte titelISBI18
LandVerenigde Staten van Amerika
Internet adres

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