Resolution enhancement of diffusion-weighted images by local fiber profiling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7512 LNCS, Issue , 2012, Pages 18-25

  Yap, Pew Thian ^a   Shen, Dinggang ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFUSION; FIBERS; INTERPOLATION; MEDICAL COMPUTING; MEDICAL IMAGING; SIGNAL TO NOISE RATIO;

ANATOMICAL STRUCTURES; DATA RECONSTRUCTION; DIFFUSION WEIGHTED IMAGES; DIFFUSION WEIGHTED IMAGING; DIFFUSION-SENSITIZING GRADIENTS; FIBER ORIENTATION DISTRIBUTION; LOW SIGNAL-TO-NOISE RATIO; RESOLUTION ENHANCEMENT;

IMAGE ENHANCEMENT;

ALGORITHM; ARTICLE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; CONNECTOME; DIFFUSION TENSOR IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; INFORMATION PROCESSING; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; BRAIN; CONNECTOME; DATA COMPRESSION; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

MLCS; MLOWN;

EID: 84872921731     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_3     Document Type: Conference Paper

References (8)

1. Calamante, F., Tournier, J., Jackson, G., Connelly, A.: Track-density imaging (TDI): Super-resolution white matter imaging using whole-brain track-density mapping. Neuroimage 53(4), 1233–1243 (2010)
2. Jian, B., Vemuri, B.C.: A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI. IEEE Transactions on Medical Imaging 26(11), 1464–1471 (2007)
3. Lee, H., Battle, A., Raina, R., Ng, A.Y.: Efficient sparse coding algorithms. In: NIPS, pp. 801–808 (2007)
4. Liu, C., Bammer, R., Kim, D.H., Moseley, M.E.: Self-navigated interleaved spiral (SNAILS): Application to high-resolution diffusion tensor imaging. Magnetic Resonance in Medicine 52(6), 1388–1396 (2004)
5. Liu, T., Li, H., Wong, K., Tarok, A., Guo, L., Wong, S.T.: Brain tissue segmentation based on DTI data. NeuroImage 38(1), 114–123 (2007)
6. Nedjati-Gilani, S., Alexander, D., Parker, G.: Regularized super-resolution for diffusion MRI. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 875–878 (2008)
7. Nowak, R.: Wavelet-based Rician noise removal for magnetic resonance imaging. IEEE Transactions on Image Processing 8(10), 1408–1419 (1999)
8. Scherrer, B., Gholipour, A., Warfield, S.K.: Super-Resolution in Diffusion-Weighted Imaging. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part II. LNCS, vol. 6892, pp. 124–132. Springer, Heidelberg (2011)