Pulse sequence based multi-acquisition MR intensity normalization

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8669, Issue , 2013, Pages

  Jog, Amod ^a   Roy, Snehashis ^a   Carass, Aaron ^a   Prince, Jerry L ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Brain; Intensity normalization standardization; Magnetic resonance imaging; Pulse sequence

Indexed keywords

CONTRAST MECHANISM; IMAGING PARAMETERS; INTENSITY HISTOGRAMS; INTENSITY NORMALIZATION/STANDARDIZATION; LONGITUDINAL AND TRANSVERSE RELAXATION TIME; PRE-PROCESSING STEP; PULSE SEQUENCE; REFERENCE IMAGE;

BRAIN; GRAPHIC METHODS; IMAGE PROCESSING; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; STATISTICAL METHODS;

TISSUE;

EID: 84878320869     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2007062     Document Type: Conference Paper

References (17)

1. Nyul, L. G. and Udupa, J. K., \On standardizing the MR image intensity scale, " Mag. Reson. Med. 42(6), 1072{1081 (1999).
2. Roy, S., Carass, A., and Prince, J. L., \A Compressed Sensing Approach For MR Tissue Contrast Synthesis, " in [22nd Conf. on Inf. Proc. in Medical Imaging (IPMI 2011)], 371{383 (2011).
3. Hellier, P., \Consistent intensity correction of MR images, " in [IEEE Intl. Conf. on Image Proc. ], 1, 1109{ 1112 (2003).
4. Christensen, J. D., \Normalization of brain magnetic resonance images using histogram even-order derivative analysis, " Mag. Reson. Imag. 21(7), 817{820 (2003).
5. Weisenfeld, N. I. and Warfield, S. K., \Normalization of joint image-intensity statistics in MRI using the Kullback-Leibler divergence, " in [IEEE Intl. Symp. on Biomed. Imaging], 1, 101{104 (2004).
6. Jager, F. and Hornegger, J., \Nonrigid Registration of Joint Histograms for Intensity Standardization in Magnetic Resonance Imaging, " IEEE Trans. Med. Imag. 28(1), 137{150 (2009).
7. Fischl, B., Salat, D. H., van der Kouwe, A. J. W., Makris, N., Segonne, F., Quinn, B. T., and Dale, A. M., \Sequence-independent segmentation of magnetic resonance images, " NeuroImage 23(S1), S69{S84 (2004).
8. Wang, L., Lai, H.-M., Barker, G. J., Miller, D. H., and Tofts, P. S., \Correction for variations in mri scanner sensitivity in brain studies with histogram matching, " Mag. Reson. Med. 39(2), 322{327 (1998).
9. Robitaille, N., Mouiha, A., Crepeault, B., Valdivia, F., Duchesne, S., and The Alzheimer's Disease Neuroimaging Initiative, \Tissue-Based MRI Intensity Standardization: Application to Multicentric Datasets, " Intl. Journal of Biomed. Imag. 2012 (2012).
10. Jager, F., Nyul, L., Frericks, B., Wacker, F., and Hornegger, J., [Whole Body MRI Intensity Standardiza- tion], Springer (2007).
11. Bezdek, J. C., \A Convergence Theorem for the Fuzzy ISO-DATA Clustering Algorithms, " IEEE Trans. on Pattern Anal. Machine Intell. 20(1), 1{8 (1980).
12. Glover, G. H., [Handbook of MRI Pulse Sequences], vol. 18, Elsevier Academic Press (2004).
13. Kwan, R. K. S., Evans, A. C., and Pike, G. B., \MRI simulation-based evaluation of image-processing and classi-cation methods, " IEEE Trans. Med. Imag. 18(11), 1085{1097 (1999).
14. Sheikh, H. R. and Bovik, A. C., \A visual information fidelity approach to video quality assessment, " in [Intl. Workshop on Video Processing and Quality Metrics for Consumer Electronics], 23{25 (2005).
15. Resnick, S. M., Goldszal, A. F., Davatzikos, C., Golski, S., Kraut, M. A., Metter, E. J., Bryan, R. N., and Zonderman, A. B., \One-year Age Changes in MRI Brain Volumes in Older Adults, " Cerebral Cortex 10(5), 464{472 (2000).
16. Carass, A., Cuzzocreo, J., Wheeler, M. B., Bazin, P.-L., Resnick, S. M., and Prince, J. L., \Simple Paradigm for Extra-cerebral Tissue Temoval: Algorithm and Analysis, " NeuroImage 56(4), 1982{1992 (2011).
17. Sled, J. G., Zijdenbos, A. P., and Evans, A. C., \A nonparametric method for automatic correction of intensity nonuniformity in MRI data, " IEEE Trans. Med. Imag. 17, 87{97 (Feb. 1998).