Classification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement

Machine Vision and Applications

Volumn 24, Issue 7, 2013, Pages 1371-1381

  Nagarajan, Mahesh B ^a   Huber, Markus B ^a   Schlossbauer, Thomas ^b   Leinsinger, Gerda ^b   Krol, Andrzej ^c   Wismüller, Axel ^a,b  

^a UNIVERSITY OF ROCHESTER   (United States)

^b LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^c State University of New York Upstate Medical University: College of Medicine   (United States)

Author keywords

Dynamic breast MRI; Minkowski Functionals; Mutual information; Support vector regression; Topological texture features

Indexed keywords

MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; TEXTURES; TOPOLOGY; VECTORS;

BREAST MRI; CLASSIFICATION PERFORMANCE; GRAY-LEVEL CO-OCCURRENCE MATRIX; HARALICK TEXTURE FEATURES; MINKOWSKI FUNCTIONALS; MUTUAL INFORMATIONS; SPATIOTEMPORAL ANALYSIS; TEXTURE FEATURES;

SUPPORT VECTOR REGRESSION;

EID: 84885306542     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-012-0456-y     Document Type: Conference Paper

References (37)

1. American Cancer Society: Breast Cancer Facts& Figures 2005-2006. American Cancer Society, Atlanta (2006)
2. Kuhl, C.K.; Mielcareck, P.; Klaschik, S.; Leutner, C.; Wardelmann, E.; Gieseke, J.; Schild, H.H.: Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions? Radiology 211(1), 101-110 (1999)
3. Wedegärtner, U.; Bick, U.; Wörtler, K.; Rummeny, E.; Bongartz, G.: Differentiation between benign and malignant findings on MR-mammography: usefulness of morphological criteria. Eur. Radiol. 11(9), 1645-1650 (2001)
4. Baum, F.; Fischer, U.; Vosshenrich, R.; Grabbe, E.: Classification of hypervascularized lesions in CE MR imaging of the breast. Eur. Radiol. 12(5), 1087-1092 (2002)
5. Szabo, B.; Aspelin, P.; Wiberg, M.; Böne, B.: Dynamic MR imaging of the breast: analysis of kinetic and morphologic diagnostic criteria. Acta Radiol. 44(4), 379-386 (2003)
6. Chen, W.; Giger, M.L.; Lan, L.; Bick, U.: Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics. Med. Phys. 31(5), 1076-1082 (2004)
7. Wismüller, A.; Meyer-Base, A.; Lange, O.; Schlossbauer, T.; Kallergi, M.; Reiser, M.F.; Leinsinger, G.: Segmentation and classification of dynamic breast magnetic resonance image data. J. Electr. Imaging 15(1) (2006)
8. Gibbs, P.; Turnbull, L.W.: Textural analysis of contrast-enhanced MR images of the breast. Magn. Reson. Med. 50(1), 92-98 (2003)
9. Chen, W.; Giger, M.L.; Li, H.; Bick, U.; Newstead, G.M.: Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images. Magn. Reson. Med. 58(3), 562-571 (2007)
10. Nie, K.; Chen, J.H.; Yu, H.J.; Chu, Y.; Nalcioglu, O.; Su, M.Y.: Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI. Acad. Radiol. 15(12), 1513-1525 (2008)
11. Meinel, L.A.; Stolpen, A.H.; Berbaum, K.S.; Fajardo, L.L.; Reinhardt, J.M.: Breast MRI lesion classification: improved performance of human readers with a backpropagation neural network computer-aided diagnosis (CAD) system. J. Magn. Reson. Imaging 25(1), 89-95 (2007)
12. Fischer, D.; Wurdinger, S.; Boettcher, J.; Malich, A.; Kaiser, W.: Further signs in the evaluation of magnetic resonance mammography: a retrospective study. Investig. Radiol. 40(7), 430-435 (2005)
13. Schlossbauer, T.; Leinsinger, G.; Wismüller, A.; Lange, O.; Scherr, M.; Meyer-Baese, A.; Reiser, M.: Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization. Investig. Radiol. 43(1), 56-64 (2008)
14. Leinsinger, G.; Schlossbauer, T.; Scherr, M.; Lange, O.; Reiser, M.; Wismüller, A.: Cluster analysis of signal-intensity time course in dynamic breast MRI: does unsupervised vector quantization help to evaluate small mammographic lesions? Eur. Radiol. 16(5), 1138-1146 (2006)
15. Gilhuijs, K.G.A.; Giger, M.; Bick, U.: Computerized analysis of breast lesions in three dimensions using dynamic magnetic-resonance imaging. Med. Phys. 25(9), 1647-1654 (1998)
16. Zheng, Y.; Englander, S.; Baloch, S.; Zacharaki, E.I.; Fan, Y.; Schnall, M.D.; Shen, D.: STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis. Med. Phys. 36(7), 3192-3204 (2009)
17. Buelow, T.; Saalbach, A.; Bergtholdt, M.; Wiemker, R.; Buurman, H.; Meinel, L.A.; Newstead, G.: Heterogeneity of kinetic curve parameters as indicator for the malignancy of breast lesions in DCE MRI. Proc. SPIE Med. Imaging 7624 (2010)
18. Agner, S.; Soman, S.; Libfield, E.; McDonald, M.; Thomas, K.; Englander, S.; Rosen, M.; Chin, D.; Nosher, J.; Madabhushi, A.: Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification. J. Digital Imaging 24(3), 446-463 (2011)
19. Nagarajan, M.B.; Huber, M.B.; Schlossbauer, T.; Leinsinger, G.; Krol, A.; Wismüller, A.: Classification of Small Lesions on Breast MRI: evaluating the role of dynamically extracted texture through feature selection. J. Med. Biol. Eng.(2012). doi: 10.5405/jmbe.1183
20. Ikeda, D.M.; Hylton, N.M.; Kinkel, K.; Hochman, M.G.; Kuhl, C.K.; Kaiser, W.A.; Weinreb, J.C.; Smazal, S.F.; Degani, H.; Viehweg, P.; Barclay, J.; Schnall, M.D.: Development, standardization, and testing of a lexicon for reporting contrast-enhanced breast magnetic resonance imaging studies. J. Magn. Reson. Imaging 13(6), 889-895 (2001)
21. D'Orsi, C.J.; Bassett, L.; Berg, W.; Feig, S.; Jackson, J.; Kopans, D.: Breast Imaging Reporting and Data System (BI-RADS) Breast Imaging Atlas. American College of Radiology, Reston (2003)
22. Michielsen, K.; Raedt, H.: Integral-geometry morphological image analysis. Phys. Rep. 347(6), 461-538 (2001)
23. Boehm, H.; Fink, C.; Attenberger, U.; Becker, C.; Behr, J.; Reiser, M.: Automated classification of normal and pathologic pulmonary tissue by topological texture features extracted from multi-detector CT in 3D. Eur. Radiol. 18(12), 2745-2755 (2008)
24. Huber, M.; Nagarajan, M.; Leinsinger, G.; Eibel, R.; Ray, L.; Wismüller, A.: Performance of topological texture features to classify fibrotic interstitial lung disease patterns. Med. Phys. 38(4), 2035-2044 (2011)
25. Boehm, H.; Vogel, T.; Panteleon, A.; Burklein, D.; Bitterling, H.; Reiser, M.: Differentiation between post-menopausal women with and without hip fractures: enhanced evaluation of clinical DXA by topological analysis of the mineral distribution in the scan images. Osteoporos Int. 18(6), 779-787 (2007)
26. Warfield, S.; Zou, K.; Wells, W.: Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans. Med. Imaging 23(7), 903-921 (2004)
27. Drucker, H.; Burges, C.; Kaufman, L.; Smola, A.; Vapnik, V.: Support vector regression machines. Adv. Neural Inf. Process. Syst. 9, 155-161 (1996)
28. Cortes, C.; Vapnik, V.: Support vector networks. Mach. Learning 20, 273-297 (1995)
29. Chen, W.J.; Giger, M.L.; Bick, U.: A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images. Acad. Radiol. 13(1), 63-72 (2006)
30. Haralick, R.M.; Shanmuga, K.; Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. Smc3(6), 610-621 (1973)
31. Haralick, R.M.: Statistical and structural approaches to texture. Proc. IEEE 67(5), 786-804 (1979)
32. Tourassi, G.; Frederick, E.; Markey, M.; Floyd Jr, C.: Application of the mutual information criterion for feature selection in computer-aided diagnosis. Med. Phys. 28(12), 2394-2402 (2001)
33. Duda, R.O.; Hart, P.E.; Stork, D.G.: Pattern Classification. Wiley, New York (2000)
34. Chang, C.C.; Lin, C.J.: LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/ cjlin/libsvm. ACM Trans. Intell. Syst. Technol. 2 27(1-27), 27 (2011)
35. Wright, S.P.: Adjusted P-values for simultaneous inference. Biometrics 48(4), 1005-1013 (1992)
36. Holm, S.: A simple sequentially rejective multiple test procedure. Scand. J. Stat. 6(2), 65-70 (1979)
37. Rueckert, D.; Sonoda, L.I.; Hayes, C.; Hill, D.L.; Leach, M.O.; Hawkes, D.J.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imaging 18(8), 712-721 (1999)