Automatic segmentation of gadolinium-enhanced multiple sclerosis lesions

Magnetic Resonance in Medicine

Volumn 39, Issue 6, 1998, Pages 935-940

  Bedell, Barry J ^a   Narayana, Ponnada A ^a  

^a UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

Author keywords

Contrast enhancement; MRI; Multiple sclerosis; Segmentation

Indexed keywords

BRAIN; GADOLINIUM; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

AUTOMATIC DETECTION; AUTOMATIC IMAGE SEGMENTATION; AUTOMATIC SEGMENTATIONS; CEREBRAL VASCULATURE; CONTRAST ENHANCEMENT; MULTIPLE SCLEROSIS; MULTIPLE SCLEROSIS LESIONS; POST-PROCESSING TECHNIQUES;

IMAGE ENHANCEMENT;

GADOLINIUM PENTETATE;

ADULT; ARTICLE; CLINICAL ARTICLE; CONTRAST ENHANCEMENT; FEMALE; HUMAN; IMAGE DISPLAY; INTRAVENOUS DRUG ADMINISTRATION; MALE; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; RADIOFREQUENCY;

EID: 0031836559     PISSN: 07403194     EISSN: None     Source Type: Journal    
DOI: 10.1002/mrm.1910390611     Document Type: Article

References (16)

1. R. I. Grossman, B. H. Braffman, J. R. Brorson, H. I. Goldberg, D. H. Silberberg, F. Gonzalez-Scarano, Multiple sclerosis: serial study of gadolinium-enhanced MR imaging. Radiology 169, 117-122 (1988).
2. A. G. Kermode, A. J. Thompson, P. S. Tofts, D. G. MacManus, P. Rudge, B. E. Kendall, D. P. E. Kingsley, I. F. Moseley, E. P. G. H. Du Boulay, W. I. McDonald, Breakdown of the blood-brain-barrier precedes symptoms and other MRI signs of new lesions in multiple sclerosis. Brain 113, 1477-1489 (1990).
3. H. F. McFarland, J. A. Frank, P. S. Alberts, M. E. Smith, R. Martin, J. O. Harris, N. Patronas, H. Maloni, D. E. McFarlin, Using gadoliniumenhanced magnetic resonance imaging of lesions to monitor disease activity in multiple sclerosis. Ann. Neurol. 32, 758-766 (1992).
4. T. L. Jernigan, G. A. Press, J. R. Hesselink. Methods for measuring brain morphologic features on magnetic resonance images. Arch. Neurol. 47, 27-32 (1990).
5. M. Ashtari, J. L. Zito, B. I. Gold, J. A. Lieberman, M. T. Borenstein, P. G. Herman, Computerized volume measurement of brain structure. Invest. Radiol. 25, 798-805 (1990).
6. A. Waks, O. J. Tretiak, Recognition of regions in brain sections. Comput. Mad. Imaging Graph. 14, 341-353 (1990).
7. J. P. Mugler, J. R. Brookeman, The design of pulse sequences employing spatial presaturation for the suppression of flow artifacts. Magn. Reson. Med. 23, 201-214 (1992).
8. P. J. Keller, B. P. Drayer, E. K. Fram, K. D. Williams, C. L. Dumoulin, S. P. Souza, MR angiography with 2-dimensional acquisition and three-dimensional display. Radiology 173, 527-532 (1989).
9. E. J. Potchen, F. M. Haacke, J. E. Siebert, A. Gottschalk, "Magnetic Resonance Angiography: Concepts and Applications," Mosby, St. Louis, 1992.
10. J. Pauly, P. Le Roux, D. Nishimura, A. Macovski, Parameter relations for the Shinnar-Le Roux selective excitation pulse design algorithm. IEEE Trans. Med. Imaging 10, 53-65 (1991).
11. B. J. Bedell, P. A. Narayana, J. S. Wolinsky, A dual approach for minimizing false lesion classifications on magnetic resonance images. Magn. Reson. Med. 37, 94-102 (1997).
12. E. F. Jackson, P. A. Narayana, J. C. Falconer, Reproducibility of nonparametric feature map segmentation for determination of normal human intracranial volumes with MR imaging data. J. Magn. Reson. Imaging 4, 692-700 (1994).
13. H. Cline, C. Dumoulin, J. H. Hart, W. Lorensen, 3D reconstruction of the brain from magnetic resonance images using a connectivity algorithm. Magn. Reson. Imaging 5, 345-352 (1987).
14. P. A. Narayana, A. Borthakur, Effect of radio frequency inhomogeneity correction on the reproducibility of intra-cranial volumes using MR image data. Magn. Reson. Med. 33, 396-400 (1995).
15. B. J. Bedell, P. A. Narayana, D. A. Johnston, Three-dimensional MR image registration for human brain. Magn. Reson. Med. 35, 384-390 (1996).
16. A. P. Zidjenbos, B. M. Dawant, R. A. Margolin, A. C. Palmer, Morphometric analysis of white matter lesions in MR images: method and validation. IEEE Trans. Med. Imaging 13, 716-724 (1994).