- Fig. 2. (a) Gross pathological slice and (b-d) MR images of ex vivo tissue. Fig. 1. DIR-FSE for collecting interleaved lipid-and water-only data.
- A Post-processing Method for Obtaining Accurate T2 Estimates from a Single Radial Fast-spin Echo K-space Data Set M. I. Altbach1
- Applications of Digital Image Processing XXIV, Andrew G. Tescher, Editor, Proceedings of SPIE Vol. 4472 (2001) 2001 SPIE 0277-786X/01/$15.00258
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- Fig. 1. Reconstructions from partial k-space
- )],(ln[),,(ln[ 0 yxi yxITEyxf +-=
- Step to acquire a different view Waveform for the two
- Table 1. T1/T2 of tissues calculated from T1 and T2 values reported in literature Tissue Liver Fat Muscle (leg) Hemangioma Metastatic Lesion
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- Fig. 2. Reconstructions from 64 radial views. Regular radial data reconstructed with (a) NUFFT
- ITW 1998, San Diego, CA, February 8 { 11 Progressive Coding of Trellis Coded Quantization (TCQ)
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- Fig. 1. Post-processing scheme of radial k-space data for obtaining high resolution fat suppressed and non-fat suppressed data.
- Simultaneous Estimation of Water-T2 and Fat Fraction Using a Single Breath Hold Radial GRASE Method , E. W. Clarkson2
- Compressed Sensing with Phase Constrained Partial Radial k-space A. Bilgin1,2
- SIMULTANEOUS COMPRESSION AND DENOISING OF IMAGERY USING NON-LINEAR INTERPOLATIVE VECTOR QUANTIZATION
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- Prioritization of Compressed Data by Tissue Type Using Karthik Krishnana, Michael W. Marcellina, Ali Bilgina, Mariappan Nadarb
- Conclusion: A method based on a bent k-space trajectory and half Fourier reconstruction was developed for obtaining high-resolution T2 maps from a single RAD-FSE k-space data set. With this method the effective Nyquist radius (NReff) is doubled compared t
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- T2 estimation for small lesions using a Model-Based reconstruction with sparsifying penalty functions and highly under-sampled radial FSE data
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- Scalable Low Complexity Image Coder For Remote Volume visualization
- ADC (m2/ms) pixelspixels
- (a) (b) (c) Fig. 2 Water images of the pelvis obtained with IDEAL-GRASE (a) without and (b) with phase
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- Compression / Decompression Strategies for Large Volume Medical Imagery
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- Image and Video Communications and Processing 2003, Bhaskaran Vasudev, T. Russell Hsing, Andrew G. Tescher, Touradj Ebrahimi, Editors, Proceedings of SPIEIS&T Electronic Imaging,
- Visual Communications and Image Processing 2002, C.-C. Jay Kuo, Editor, Proceedings of SPIE Vol. 4671 (2002) 2002 SPIE 0277-786X/02/$15.00 209
- Wavelet TCQ: submission to JPEG-2000 Philip J. Sementil1i'', Au Bilgina, James H. Kasnerc, Michael W. Marcellin'
- [21] V. T. Franques and V. K. Jain, "Enhanced wavelet-based zerotree coding of images," in Proc. of 1996 Data Compression Conference, 1996, p. 436.
- Combined compression and denoising of images using vector quantization
- JOINT SOURCE/CHANNEL CODING FOR MULTIPLE SOURCES TRANSMISSION
- Fig. 1. Reconstruction from partial k-space data. Filtered Backprojection (a) 32 views (b) 64 views. TV
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- (a) (b) (c) Fig. 2 Water images of the pelvis obtained with IDEAL-GRASE (a) without and (b) with phase
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- View Ordering in GRAPPA Fast Spin-Echo Methods A. Krishnan1
- Compressed Sensing using Dual-Tree Complex Wavelet Transform , M. I. Altbach2
