Spatio-temporal resolution enhancement of vocal tract MRI sequences based on image registration

Integrated Computer-Aided Engineering

Volumn 18, Issue 2, 2011, Pages 143-155

  Martins, Ana L D ^a   Mascarenhas, Nelson D A ^a   Suazo, Cláudio A T ^a  

^a FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ACQUISITION DEVICE; ALTERNATIVE APPROACH; DIGITAL IMAGE PROCESSING TECHNIQUE; DYNAMIC MAGNETIC RESONANCE IMAGING; IMAGE SEQUENCE; INTERMEDIATE IMAGE; MOTION COMPENSATED INTERPOLATION; MRI SEQUENCES; NONRIGID IMAGE REGISTRATION; PRIOR KNOWLEDGE; SPATIAL RESOLUTION; SPATIO-TEMPORAL RESOLUTION; SPEECH PRODUCTION; SUPER-RESOLUTION IMAGE RECONSTRUCTION; TEMPORAL RESOLUTION; VOCAL-TRACTS;

ANIMATION; IMAGE RECONSTRUCTION; IMAGE REGISTRATION; RESONANCE;

MAGNETIC RESONANCE IMAGING;

EID: 79953329176     PISSN: 10692509     EISSN: None     Source Type: Journal    
DOI: 10.3233/ICA-2011-0367     Document Type: Article

References (30)

1. M.Ahmad, J.Dargaud, A.Morin and F. Cotton, DynamicMRI of Larynx and Vocal Fold Vibrations in Normal, Phonation Journal of Voice 23(2) (March 2009), 235-239.
2. M. Alkhassaweneh1, H. Alzoubi1 and S. Aviyente, The multibit watermarking method for speech signals in the timefrequency domain, Integrated Computer-Aided Engineering 17(1) (2010) 59-67.
3. T. Baer, J.C. Gore, L.C. Gracco and P.W. Nye, Analysis of vocal tract shape and dimensions using magnetic resonance imaging: Vowels, J Acoust Soc Am 90(2) (Aug 1991), 799-828.
4. J. Besag, Spatial interaction and the statistical analysis af lattice systems, Journal of the Royal Statistical Society B 36(2) (1974), 192-236.
5. J.L. Borman and R. Stevenson, Spatial resolution enhancement of lowresolution image sequences - A comprehensive review with directions for future research. Technical report, University of Notre Dame, Notre Dame, IN, 1998.
6. N.K. Bose, S. Lertrattanapanich and J. Koo, Advances in superresolution using Lcurve, Proc Int Symp Circuits and Systems 2 (2001), 433-436.
7. E. Bresch, Y.C. Kim, K. Nayak, D. Byrd and S. Narayanan, Seeing speech: Capturing vocal tract shaping using realtime magnetic resonance imaging [Exploratory DSP], Signal Processing Magazine, IEEE 25(3) (May 2008), 123-132.
8. M.C. Hong, M.G. Kang and A.K. Katsaggelos, A regularized multichannel restoration approach for globally optimal high resolution video sequence, SPIE VCIP 3024 (1997), 1306-1317.
9. A.K. Katsaggelos, R.Molina and J.Mateos, Super Resolution of Images and Video, San Rafael, CA: Morgan & Claypool, 2007.
10. S. Lee, G. Wolberg, K.Y. Chwa and S.Y. Shin, Image Metamorphosis with Scattered Feature Constraints, IEEE Transactions on Visualization and Computer Graphics 2 (1996), 337-354. (Pubitemid 126781412)
11. A.L.M. Levada, N.D.A. Mascarenhas and A. Tannús, Pseudolikelihood Equations for Potts MRF model Parameter Estimation on HigherOrder Neighborhood Systems, IEEE Geoscience and Remote Sensing Letters 5(3) (2008), 522-526.
12. S.Z. Li, Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition), (3rd ed.), Springer, March 2009.
13. S.Z. Li, Y.H. Huang and J.S. Fu, Convex MRF Potential Functions, (Vol. 2), Proc. of the IEEE Int'l Conf. on Image Processing, 1995, 296-299.
14. A.L.D. Martins, M.R.P. Homem and N.D.A. Mascarenhas, Super-Resolution Image Reconstruction using the ICM Algorithm, In Proceedings of the 14th IEEE international Confer ence on Image Processing, San Antonio, Texas, 2007, pp. IV 205-IV 208.
15. A.L.D. Martins, M.R.P. Homem and N.D.A. Mascarenhas, Super-Resolution Image Reconstruction using the Generalized Isotropic MultiLevel Logistic Model, SAC '09: Proceedings of the 2009 ACM Symposium on Applied Computing, Honolulu, Hawaii, USA, 2009, pp. 934-938, ACM.
16. A.L.D. Martins, A.L. Levada, M.R.P. Homem and N.D.A. Mascarenhas, MAPMRF Super-Resolution Image Reconstruction using Maximum PseudoLikelihood Parameter Estimation, In Proceedings of the 16th IEEE international Conference on Image Processing, Cairo, Egypt, 2009, pp. 1161-1164.
17. A.L.D.Martins, N.D.A.Mascarenhas and C.A.T. Suazo, Temporal Resolution Enhancement of Vocal Tract MRI Sequences based on Image Registration, 17th International Conference on Systems, Signals and Image Processing (IWSSIP 2010), Rio de Janeiro, Brazil, Pages 190-193.
18. A.L.D.Martins, N.D.A.Mascarenhas and C.A.T. Suazo, Temporal resolution enhancement of vocal tract image sequences based on image registration, Revista de Informática Teórica e Aplicada 16 (2009), 113-128, In Portuguese.
19. J. Modersitzki, Numerical Methods for Image Registration, Oxford University Press, 2004.
20. S. Narayanan, K. Nayak, S. Lee, A. Sethy and D. Byrd, An approach to realtime magnetic resonance imaging for speech production, The Journal of the Acoustical Society of America 115(4) (2004), 1771-1776. (Pubitemid 38451331)
21. S.C. Park, M.K. Park and M.G. Kang, Superresolution image reconstruction: A technical overview, IEEE Signal Processing Magazine 20(3) (2003), 21-36.
22. D. Rueckert, L.I. Sonoda, C. Hayes, D.L.G. Hill, M.O. Leach and D.J. Hawkes, Nonrigid Registration Using Free-Form Deformations: Application to BreastMR Images, IEEE Trans on Medical Imaging 18(8) (1999), 712-721. (Pubitemid 32262025)
23. R.R. Schultz and R.L. Stevenson, Extraction of highresolution frames from video sequences, IEEE Transactions on Image Processing 5(6) (1996), 996-1011. (Pubitemid 126776754)
24. M. Singh, I. Cheng and M. Mandal, 4D Alignment of Bidirectional Dynamic MRI sequences. 30th Intl. Conference of IEEE Engineering in Medicine and Biology Society EMBC 2008, Vancouver, Canada, Pages 5893-5896.
25. H. Stark and P. Oskoui, Highresolution image recovery from imageplane arrays, using convex projections, Journal of Optical Society America A 6(11) (1989), 1715-1726.
26. K.V. Suresh and A.N. Rajagopalan, Robust and computationally efficient superresolution algorithm, J Opt Soc Am A 24 (2007), 984-992. (Pubitemid 46730863)
27. R.Y. Tsai and T.S. Huang, Multi-Frame Image Restoration and Registration, Advances in Computer Vision and Image Processing, pages 317-339, 1984.
28. F. Wheeler, R. Hoctor and E. Barrett, Superresolution image synthesis using projections onto convex sets in the frequency domain. In Computational Imaging III. Edited by Bouman, Charles A.; Miller, Eric L. Proceedings of the SPIE, volume 5674, pages 479-490, 2005. (Pubitemid 40949277)
29. W.C. Yau1, D.K. Kumar and S.P. Arjunan, Visual recognition of speech consonants using facial movement features, Integrated Computer-Aided Engineering 14(1) (Jan 2007), 49-61.
30. S. Yeh and H. Stark, Iterative and Onestep Reconstruction from Nonuniform Samples by Convex Projections, J Opt Soc Am A 7 (1990), 491-499.