A new computer-assisted method for the quantification of enhancing lesions in multiple sclerosis

Journal of Computer Assisted Tomography

Volumn 21, Issue 1, 1997, Pages 145-151

  Samarasekera, Supun ^a   Udupa, Jayaram K ^a,b   Miki, Yukio ^a   Wei, Luogang ^a   Grossman, Robert I ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Brain, diseases; Central nervous system, diseases; Image segmentation; Magnetic resonance imaging; Multiple sclerosis

Indexed keywords

IMAGE ENHANCEMENT; IMAGE SEGMENTATION;

BRAIN DISEASE; CENTRAL NERVOUS SYSTEM, DISEASE; CENTRAL NERVOUS SYSTEMS; COMPUTER-ASSISTED METHODS; COMPUTERIZED METHODS; DETECTION AND QUANTIFICATIONS; IMAGES SEGMENTATIONS; LESION VOLUME; MULTIPLE SCLEROSIS; MULTIPLE SCLEROSIS LESIONS;

MAGNETIC RESONANCE IMAGING;

ARTICLE; CLINICAL ARTICLE; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUANTITATIVE DIAGNOSIS;

EID: 0031036456     PISSN: 03638715     EISSN: None     Source Type: Journal    
DOI: 10.1097/00004728-199701000-00028     Document Type: Article

References (37)

1. Grossman RI, Braffman BH, Brorson JR, Goldberg HI, Silberberg DH, Gonzalez SF. Multiple sclerosis: serial study of gadolinium-enhanced MR imaging. Radiology 1988;169:117-22.
2. Barkhof F, Scheltens P, Frequin ST, et al. Relapsing-remitting multiple sclerosis: sequential enhanced MR imaging vs clinical findings in determining disease activity. AJR 1992;159:1041-7.
3. Miller DH, Barkhof F, Nauta JJ. Gadolinium enhancement increases the sensitivity of MRI in detecting disease activity in multiple sclerosis. Brain 1993;116:1077-94.
4. Haralick R. Image segmentation survey. In: Fangeras O, ed. Fundamentals in computer vision. Cambridge: Cambridge University Press, 1983:209-24.
5. Bezdek J, Hall L, Clarke L. Review of MR image segmentation techniques using pattern recognition. Med Phys 1993;20:1033-48.
6. Raya S. Low-level segmentation of 3-D magnetic resonance brain images - a rule-based system. IEEE Trans Med Imag 1990;9:327-37.
7. Levin DN, Hu XP, Tan KK, et al. The brain: integrated three-dimensional display of MR and PET images. Radiology 1989;172: 783-9.
8. Kohn MI, Tanna NK, Herman GT, et al. Analysis of brain and cerebrospinal fluid volumes with MR imaging. Part I. Methods, reliability, and validation. Radiology 1991;178:115-22.
9. Rusinek H, de LM, George AE, et al. Alzheimer disease: measuring loss of cerebral gray matter with MR imaging. Radiology 1991; 178:109-14.
10. Lim KO, Pfefferbaum A. Segmentation of MR brain images into cerebrospinal fluid spaces, white and gray matter. J Comput Assist Tomogr 1989;13:588-93.
11. Vannier MW, Butterfield RL, Jordan D, Murphy WA, Levitt RG, Gado M. Multispectral analysis of magnetic resonance images. Radiology 1985;154:221-4.
12. Collins D, Peters T. Model-based segmentation of individual brain structures from MRI data. SPIE Proc 1992;1808:10-23.
13. Joliot M, Mazoyer B. Three-dimensional segmentation and interpolation of magnetic resonance brain images. IEEE Trans Med Imag 1993;12:269-77.
14. Kapouleas I. Automatic detection of white matter lesions in magnetic resonance brain images. Comput Progr Methods Biomed 1990;1:17-35.
15. Cline HE, Lorensen WE, Kikinis R, Jolesz F. Three-dimensional segmentation of MR images of the head using probability and connectivity. J Comput Assist Tomogr 1990;14:1037-5.
16. Kamber M, Collins D, Shighal R, Francis G, Evans A. Model-based 3D segmentation of multiple sclerosis lesions in dual-echo MRI data. SPIE Proc 1992;1808:590-600.
17. Soltanian-Zadeh H, Windham J, Peck D, Yagle A. A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance images. IEEE Trans Med Imag 1992; 11:302-18.
18. Wicks DA, Tofts PS, Miller DH, et al. Volume measurement of multiple sclerosis lesions with magnetic resonance images. A preliminary study. Neuroradiology 1992;34:475-9.
19. Wells W, Kikinis R, Grimson W, Jolesz F. Statistical intensity correction and segmentation of magnetic resonance image data. SPIE Proc 1994;2359:13-24.
20. Udupa JK, Samarasekera S. Fuzzy connectedness and object definition: theory, algorithms and applications in image segmentation. Graph Models Image Proc 1996;58:246-61.
21. Smith ME, Stone LA, Albert PS, et al. Clinical worsening in multiple sclerosis is associated with increased frequency and area of gadopentetate dimeglumine-enhancing magnetic resonance imaging lesions. Ann Neurol 1993;33:480-9.
22. Frank JA, Stone LA, Smith ME, Albert PS, Maloni H, McFarland HF. Serial contrast-enhanced magnetic resonance imaging in patients with early relapsing-remitting multiple sclerosis: implications for treatment trials. Ann Neurol 1994;36:S86-90.
23. Poser CM, Paty DW, Scheinberg L, et al. New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Ann Neurol 1983;13:227-31.
24. Udupa JK, Odhner D, Samarasekera S, et al. 3DVIEWNIX: an open, transportable, multidimensional, multimodality, multiparametric imaging software system. SPIE Proc 1994;2164:58-73.
25. Udupa JK, Ajjanagaddle VG. Boundary and object labeling in three-dimensional images. Comput Vis Graph Image Proc 1990; 51:355-69.
26. Miki Y, Grossman RI, Samarasekera S, et al. Clinical correlation of computer-assisted enhancing lesion quantitation in multiple sclerosis. AJNR (in press).
27. Bastianello S, Pozzilli C, Bernardi S, et al. Serial study of gadolinium-DTPA MRI enhancement in multiple sclerosis. Neurology 1990;40:591-5.
28. Capra R, Marciano N, Vignolo LA, Chiesa A, Gasparotti R. Gadolinium-pentetic acid magnetic resonance imaging in patients with relapsing remitting multiple sclerosis. Arch Neurol 1992;49:687-9.
29. Harris JO, Frank JA, Patronas N, McFarlin DE, McFarland HF. Serial gadolinium-enhanced magnetic resonance imaging scans in patients with early, relapsing-remitting multiple sclerosis: implications for clinical trials and natural history. Ann Neurol 1991;29: 548-55.
30. Barkhof F, Hommes OR, Scheltens P, Valk J. Quantitative MRI changes in gadolinium-DTPA enhancement after high-dose intravenous methylprednisolone in multiple sclerosis. Neurology 1991; 41:1219-22.
31. Wiebe S, Lee DH, Karlik SJ, et al. Serial cranial and spinal cord magnetic resonance imaging in multiple sclerosis. Ann Neurol 1992;32:643-50.
32. Thompson AJ, Miller D, Youl B, et al. Serial gadolinium-enhanced MRI in relapsing/remitting multiple sclerosis of varying disease duration. Neurology 1992;42:60-3.
33. McFarland HF, Frank JA, Albert PS, et al. Using gadolinium-enhanced magnetic resonance imaging lesions to monitor disease activity in multiple sclerosis. Ann Neurol 1992;32:758-66.
34. Nauta JJ, Thompson AJ, Barkhof F, Miller DH. Magnetic resonance imaging in monitoring the treatment of multiple sclerosis patients: statistical power of parallel-groups and crossover designs. J Neurol Sci 1994;122:6-14.
35. Grossman RI, Yousem DM. White matter diseases. In: Thrall JH, ed. Neuroradiology: the requisites. St. Louis: Mosby, 1994:201-24.
36. Udupa JK, Wei L, Samarasekera S, Miki Y, van Buchem MA, Grossman RI. Multiple sclerosis lesion quantification using fuzzy connectedness principles. IEEE Trans Med Imag (in press).
37. van Buchem MA, Udupa JK, Heyning FH, et al. Volumetric quantitation of intracranial macroscopic and microscopic disease burden in multiple sclerosis based on magnetization transfer. AJNR (in press).