Detection of suspicious lesions in dynamic contrast enhanced MRI data

Twellmann T, Saalbach A, Muller C, Nattkemper TW, Wismuller A (2004)
Conf Proc IEEE Eng Med Biol Soc 1.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
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Abstract / Bemerkung
Dynamic contrast-enhanced magnet resonance imaging (DCE-MRI) has become an important source of information to aid breast cancer diagnosis. Nevertheless, next to the temporal sequence of 3D volume data from the DCE-MRI technique, the radiologist commonly adducts information from other modalities for his final diagnosis. Thus, the diagnosis process is time consuming and tools are required to support the human expert. We investigate an automatic approach that detects the location and delineates the extent of suspicious masses in multi-temporal DCE-MRI data sets. It applies the state-of-the-art support vector machine algorithm to the classification of the short-time series associated with each voxel. The ROC analysis shows an increased specificity in contrast to standard evaluations techniques.
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Conf Proc IEEE Eng Med Biol Soc
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1
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Twellmann T, Saalbach A, Muller C, Nattkemper TW, Wismuller A. Detection of suspicious lesions in dynamic contrast enhanced MRI data. Conf Proc IEEE Eng Med Biol Soc. 2004;1.
Twellmann, T., Saalbach, A., Muller, C., Nattkemper, T. W., & Wismuller, A. (2004). Detection of suspicious lesions in dynamic contrast enhanced MRI data. Conf Proc IEEE Eng Med Biol Soc, 1
Twellmann, T., Saalbach, A., Muller, C., Nattkemper, T. W., and Wismuller, A. (2004). Detection of suspicious lesions in dynamic contrast enhanced MRI data. Conf Proc IEEE Eng Med Biol Soc 1.
Twellmann, T., et al., 2004. Detection of suspicious lesions in dynamic contrast enhanced MRI data. Conf Proc IEEE Eng Med Biol Soc, 1.
T. Twellmann, et al., “Detection of suspicious lesions in dynamic contrast enhanced MRI data”, Conf Proc IEEE Eng Med Biol Soc, vol. 1, 2004.
Twellmann, T., Saalbach, A., Muller, C., Nattkemper, T.W., Wismuller, A.: Detection of suspicious lesions in dynamic contrast enhanced MRI data. Conf Proc IEEE Eng Med Biol Soc. 1, (2004).
Twellmann, T, Saalbach, A, Muller, C, Nattkemper, T W, and Wismuller, A. “Detection of suspicious lesions in dynamic contrast enhanced MRI data”. Conf Proc IEEE Eng Med Biol Soc 1 (2004).

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Fully automatic lesion segmentation in breast MRI using mean-shift and graph-cuts on a region adjacency graph.
McClymont D, Mehnert A, Trakic A, Kennedy D, Crozier S., J Magn Reson Imaging 39(4), 2014
PMID: 24783238
Performance of a fully automatic lesion detection system for breast DCE-MRI.
Vignati A, Giannini V, De Luca M, Morra L, Persano D, Carbonaro LA, Bertotto I, Martincich L, Regge D, Bert A, Sardanelli F., J Magn Reson Imaging 34(6), 2011
PMID: 21965159

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