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Mohajer, M. ; Schmid, V.J.* ; Engels, N. A.* ; Noel, P. B.* ; Rummeny, E.* ; Englmeier, K.-H.

Stepwise heterogeneity analysis of breast tumors in perfusion DCE-MRI datasets.

Proc. SPIE 8317:83171K (2012)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
The signal curves in perfusion dynamic contrast enhanced MRI (DCE-MRI) of cancerous breast tissue reveal valuable information about tumor angiogenesis. Pathological studies have illustrated that breast tumors consist of different subregions, especially with more homogeneous properties during their growth. Differences should be identifiable in DCEMRI signal curves if the characteristics of these sub-regions are related to the perfusion and angiogenesis. We introduce a stepwise clustering method which in a first step uses a new similarity measure. The new similarity measure (PM) compares how parallel washout phases of two curves are. To distinguish the starting point of the washout phase, a linear regression method is partially fitted to the curves. In the next step, the minimum signal value of the washout phase is normalized to zero. Finally, PM is calculated according to maximal variation among the point wise differences during washout phases. In the second step of clustering the groups of signal curves with parallel washout are clustered using Euclidean distance. The introduced method is evaluated on 15 DCE-MRI breast datasets with different types of breast tumors. The use of our new heterogeneity analysis is feasible in single patient examination and improves breast MR diagnostics.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Herausgeber Molthen, R.C.* ; Waver, J.B.*
Korrespondenzautor
Schlagwörter Cluster Analysis ; Dce-mri ; Heterogeneity ; Perfusion ; Similarity Measure
ISSN (print) / ISBN 0277-786X
e-ISSN 1996-756X
ISBN 9780819489661
Konferenztitel SPIE Medical Imaging, 04.-09.02.2012, San Diego, USA
Zeitschrift Proceedings of SPIE
Quellenangaben Band: 8317, Heft: , Seiten: , Artikelnummer: 83171K Supplement: ,
Reihe Proceedings of SPIE
Verlag SPIE
Verlagsort Bellingham, USA
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biological and Medical Imaging (IBMI)