Automated feature extraction and classification of breast lesions in magnetic resonance images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3338, Issue , 1998, Pages 294-300

  Gilhuijs, Kenneth G A ^a,b   Giger, Maryellen L ^a   Bick, Ulrich ^c  

^a UNIVERSITY OF CHICAGO   (United States)

^b NETHERLANDS CANCER INSTITUTE   (Netherlands)

^c UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

3 D feature extraction; Breast imaging; Classification; Magnetic resonance imaging (MM); ROC analysis

Indexed keywords

DISCRIMINANT ANALYSIS; IMAGE PROCESSING; IMAGING SYSTEMS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; METHOD OF MOMENTS; THREE DIMENSIONAL;

2D ANALYSIS; 3-D FEATURE EXTRACTION; 3D ANALYSIS; 3D SPATIAL ANALYSIS; AUTOMATED FEATURE EXTRACTIONS; BENIGN LESIONS; BREAST IMAGING; BREAST LESIONS; CLASSIFICATION; COMPUTERIZED METHODS; CONTRAST AGENTS; CONTRAST-ENHANCED; CROSS VALIDATIONS; INHOMOGENEITY; LIKELIHOOD OF MALIGNANCIES; LINEAR DISCRIMINANT ANALYSIS; MAGNETIC RESONANCE IMAGES; MALIGNANT LESIONS; ROC ANALYSIS; SPATIAL ANALYSIS; STEPWISE MULTIPLE REGRESSIONS;

FEATURE EXTRACTION;

EID: 60849100813     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.310904     Document Type: Conference Paper

References (11)

1. S.H. Heywang-Köbrunner, P. Viehweg, A. Heinig, and Ch. Küchler, "Contrast-enhanced MRI of the breast: accuracy, value, controversies, solutions," Eur. J. Radiol. 24, pp. 94-108, 1997.
2. P.L. Davis, M.J. Staiger, K.B. Harris, M.A. Gannot, J. Klementaviciene, K.S. McCarty Jr., and H. Tobon, "Breast cancer measurements with magnetic resonance imaging, ultrasonography, and mammography," Breast Cancer Res. Treat. 37, pp. 1-9, 1996.
3. S.E. Harms, D.P. Flamig, K.L Hesley, M.D. Meiches, R.A. Jensen, W.P. Evans, D.A. Savino, and R.V. Wells, "MR imaging of the breast with rotating delivery of excitation off resonance: clinical experience with pathologic correlation," Radiology 187, pp. 493-501, 1993.
4. C. Boetes, J.O. Barentsz, R.D. Mus, R.F. van der Sluis, L.J.T.O. van Erning, J.H.C.L. Hendriks, R. Holland, and S.H.J. Ruys, "MR characterization of suspicious breast lesions with a Gadolinium-enhanced TurboFLASH subtraction technique," Radiology 193, pp. 777-781, 1994.
5. A.H. Adams, J.R. Brookeman, and M.B. Merickel, "Breast lesion discrimination using statistical analysis and shape measures on magnetic resonance imagery," Comp. Med. Imaging and Graphics 5, pp. 339-349, 1991.
6. Z. Huo, M.L. Giger, C.J. Vyborny, U. Bick, P. Lu, D.E. Wolverton and R.A. Schmidt, "Analysis of spiculation in the computerized classification of mammographic masses," Med. Phys. 22, 1569-1579 (1995).
7. N. Otsu, "A threshold selection method from gray-value histograms," IEEE transactions on systems, man, and cybernetics 9, pp. 62-66, 1979.
8. C.E. Metz, "Some practical issues of experimental design and data analysis in radiological ROC studies," Invest. Radiol. 24, pp. 234-245, 1989.
9. G. Gong, "Cross-validation, the Jackknife, and the Bootstrap: Excess Error Estimation in Forward Logistic Regression," J. Am. Statistical Assoc. 81, pp. 108-113, 1986.
10. P.S. Tofts, B. Berkowitz, and M.D. Schnall, "Quantitative analysis of dynamic Gd-DTPA enhancement in breast tumors using a permeability model," Magn. Reson. Med. 33, pp. 564-568, 1995.
11. F.A. Lucas-Quesada, U.Sinha, and S. Sinha, "Segmentation strategies for breast tumors from dynamic MR images," J. Magn. Reson. Imaging 6, pp. 753-763, 1996.