Principal diffusion direction in peritumoral fiber tracts: Color map patterns and directional statistics

Annals of the New York Academy of Sciences

Volumn 1064, Issue , 2005, Pages 193-201

  Field, Aaron S ^a,b   Wu, Yu Chien ^c   Alexander, Andrew L ^c  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b Wisconsin Electric Machines and Power Electronics Consortium   (United States)

^c UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Apparent diffusion coefficient (ADC); Color map; Diffusion tensor imaging (DTI); Direction; Edema; Fractional anisotropy (FA); Glioma

Indexed keywords

ANISOTROPY; APPARENT DIFFUSION COEFFICIENT; BRAIN EDEMA; BRAIN TISSUE; BRAIN TUMOR; COLOR MAP; CONFERENCE PAPER; DIFFUSION COEFFICIENT; DIFFUSION TENSOR IMAGING; FUNCTIONAL ANISOTROPY; GLIOMA; HISTOGRAM; HUMAN; IMAGE ANALYSIS; IMAGING SYSTEM; MEDICAL DECISION MAKING; NEUROIMAGING; NEUROPATHOLOGY; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS;

EID: 29744435272     PISSN: 00778923     EISSN: None     Source Type: Book Series    
DOI: 10.1196/annals.1340.037     Document Type: Conference Paper

References (20)

1. BRUNBERG, J.A., T.L. CHENEVERT, P.E. MCKEEVER et al. 1995. In vivo MR determination of water diffusion coefficients and diffusion anisotropy: correlation with structural alteration in gliomas of the cerebral hemispheres. AJNR Am. J. Neuroradiol. 16: 361-371.
2. STADNIK, T.W., C. CHASKIS, A. MICHOTTE et al. 2001. Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings. AJNR Am. J. Neuroradiol. 22: 969-976.
3. KONO, K., Y. INOUE, K. NAKAYAMA et al. 2001. The role of diffusion-weighted imaging in patients with brain tumors. AJNR Am. J. Neuroradiol. 22: 1081-1088.
4. SINHA, S., M.E. BASTIN, I.R. WHITTLE & J.M. WARDLAW. 2002. Diffusion tensor MR imaging of high-grade cerebral gliomas. AJNR Am. J. Neuroradiol. 23: 520-527.
5. BASTIN, M.E., S. SINHA, I.R. WHITTLE & J.M. WARDLAW. 2002. Measurements of water diffusion and T1 values in peritumoral oedematous brain. Neuroreport 13: 1335-1340.
6. TIEN, R.D., G.J. FELSBERG, H. FRIEDMAN et al. 1994. MR imaging of high-grade cerebral gliomas: value of diffusion-weighted echo planar pulse sequences. AJR Am. J. Roentgenol. 162: 671-677.
7. KRABBE, K., P. GIDEON, P. WAGN et al. 1997. MR diffusion imaging of human intracranial tumours. Neuroradiology 39: 483-489.
8. CASTILLO, M., J.K. SMITH, L. KWOCK & K. WILBER. 2001. Apparent diffusion coefficients in the evaluation of high-grade cerebral gliomas. AJNR Am. J. Neuroradiol. 22: 60-64.
9. LU, S., D. AHN, G. JOHNSON & S. CHA. 2003. Peritumoral diffusion tensor imaging of high-grade gliomas and metastatic brain tumors. AJNR Am. J. Neuroradiol. 24: 937-941.
10. LU, S., D. AHN, G. JOHNSON et al. 2004. Diffusion-tensor MR imaging of intracranial neoplasia and associated peritumoral edema: introduction of the tumor infiltration index. Radiology 232: 221-228.
11. PROVENZALE, J.M., P. MCGRAW, P. MHATRE et al. 2004. Peritumoral brain regions in gliomas and meningiomas: investigation with isotropic diffusion-weighted MR imaging and diffusion-tensor MR imaging. Radiology 232: 451-460.
12. MAIER, S.E., P. BOGNER, G. BAJZIK et al. 2001. Normal brain and brain tumor: multi-component apparent diffusion coefficient line scan imaging. Radiology 219: 842-849.
13. FIELD, A.S., A.L. ALEXANDER, V.M. HAUGHTON et al. 2002. Effect of vasogenic edema on sensitivity of white matter tractography with diffusion tensor imaging. In ASNR 2002 Proceedings, American Society of Neuroradiology 40th Annual Meeting, Vancouver, British Columbia, Canada, May 11-17, 2002; O-269, p. 199.
14. WIEGELL, M.R., J.W. HENSON, D.S. TUCH & A.C. SORENSEN. 2003. Diffusion tensor imaging shows potential to differentiate infiltrating from non-infiltrating tumors. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 11th Scientific Meeting, Toronto, Ontario, Canada, July 10-16, 2003, p. 2075.
15. ZHANG, S., M.E. BASTIN, D.H. LAIDLAW et al. 2004. Visualization and analysis of white matter structural asymmetry in diffusion tensor MRI data. Magn. Reson. Med. 51: 140-147.
16. FIELD, A.S., A.L. ALEXANDER, Y-C. WU et al. 2004. Diffusion tensor eigenvector directional color imaging patterns in the evaluation of cerebral white matter tracts altered by tumor. J. Magn. Reson. Imaging 20: 555-562.
17. WU, Y-C., A.S. FIELD, M. CHUNG et al. 2004. Quantitative analysis of diffusion tensor orientation: theoretical framework. Magn. Reson. Med. 52: 1146-1155.
18. HASAN, K.M., D.L. PARKER & A.L. ALEXANDER. 2001. Comparison of gradient encoding schemes for diffusion-tensor MRI. J. Magn. Reson. Imaging 13: 769-780.
19. HASAN, K.M., P.J. BASSER, D.L. PARKER & A.L. ALEXANDER. 2001. Analytical computation of the eigenvalues and eigenvectors in DT-MRI. J. Magn. Reson. 152: 41-47.
20. SCHWARTZMAN, A., R.F. DOUGHERTY & J.E. TAYLOR. 2004. Comparison of principal diffusion directions using directional statistics. In Proceedings of the 10th Annual Meeting of the Organization for Human Brain Mapping, Budapest, Hungary, June 13-17, 2004; WE-300.