Detection of suspicious lesions in dynamic contrast enhanced MRI data

Twellmann T, Saalbach A, Müller C, Nattkemper TW, Wismuller A (2004)
The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 1: 454-457.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Twellmann, ThorstenUniBi; Saalbach, Axel; Müller, C.; Nattkemper, Tim WilhelmUniBi ; Wismuller, Axel
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.
Erscheinungsjahr
2004
Zeitschriftentitel
The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Band
1
Seite(n)
454-457
ISSN
1557-170X
Page URI
https://pub.uni-bielefeld.de/record/1946838

Zitieren

Twellmann T, Saalbach A, Müller C, Nattkemper TW, Wismuller A. Detection of suspicious lesions in dynamic contrast enhanced MRI data. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2004;1:454-457.
Twellmann, T., Saalbach, A., Müller, C., Nattkemper, T. W., & Wismuller, A. (2004). Detection of suspicious lesions in dynamic contrast enhanced MRI data. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1, 454-457.
Twellmann, Thorsten, Saalbach, Axel, Müller, C., Nattkemper, Tim Wilhelm, and Wismuller, Axel. 2004. “Detection of suspicious lesions in dynamic contrast enhanced MRI data”. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 1: 454-457.
Twellmann, T., Saalbach, A., Müller, C., Nattkemper, T. W., and Wismuller, A. (2004). Detection of suspicious lesions in dynamic contrast enhanced MRI data. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 1, 454-457.
Twellmann, T., et al., 2004. Detection of suspicious lesions in dynamic contrast enhanced MRI data. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1, p 454-457.
T. Twellmann, et al., “Detection of suspicious lesions in dynamic contrast enhanced MRI data”, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 1, 2004, pp. 454-457.
Twellmann, T., Saalbach, A., Müller, C., Nattkemper, T.W., Wismuller, A.: Detection of suspicious lesions in dynamic contrast enhanced MRI data. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 1, 454-457 (2004).
Twellmann, Thorsten, Saalbach, Axel, Müller, C., Nattkemper, Tim Wilhelm, and Wismuller, Axel. “Detection of suspicious lesions in dynamic contrast enhanced MRI data”. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 1 (2004): 454-457.

2 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

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

References

Daten bereitgestellt von Europe PubMed Central.

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Quellen

PMID: 17271711
PubMed | Europe PMC

Suchen in

Google Scholar