Contextual encoding in uniform and adaptive mesh-based lossless compression of MR images
@article{Srikanth2005ContextualEI, title={Contextual encoding in uniform and adaptive mesh-based lossless compression of MR images}, author={Ryali Srikanth and A. G. Ramakrishnan}, journal={IEEE Transactions on Medical Imaging}, year={2005}, volume={24}, pages={1199-1206} }
We propose and evaluate a number of novel improvements to the mesh-based coding scheme for 3-D brain magnetic resonance images. This includes: 1) elimination of the clinically irrelevant background leading to meshing of only the brain part of the image; 2) content-based (adaptive) mesh generation using spatial edges and optical flow between two consecutive slices; 3) a simple solution for the aperture problem at the edges, where an accurate estimation of motion vectors is not possible; and 4…
46 Citations
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References
SHOWING 1-10 OF 27 REFERENCES
Lossy to lossless object-based coding of 3-D MRI data
- Computer ScienceIEEE Trans. Image Process.
- 2002
A fully three-dimensional (3-D) object-based coding system exploiting the diagnostic relevance of the different regions of the volumetric data for rate allocation, and two fully 3-D coding strategies are considered: embedded zerotree coding and multidimensional layered zero coding, both generalized for region of interest (ROI)-based processing.
3D/2D object-based coding of head MRI data
- Computer ScienceProceedings. International Conference on Image Processing
- 2002
Results show that the proposed coding system featuring 3D encoding/2D decoding object-based functionalities is a good compromise between the gain in compression efficiency provided by 3D systems and the fast access to the data of 2D ones.
Reversible interframe compression of medical images: a comparison of decorrelation methods.
- MedicineIEEE transactions on medical imaging
- 1991
Whether data representing medical image sequences can be compressed more efficiently by taking into account the temporal correlation between the sequence frames is investigated, with results that suggest interpolation-based methods are superior to extrapolation- based methods, and estimation of interframe motion is not advantageous for image compression.
Three-dimensional encoding/two-dimensional decoding of medical data
- Computer ScienceIEEE Transactions on Medical Imaging
- 2003
The proposed3-D/2-D multidimensional layered zero coding system provides the improvement in compression efficiency attainable with 3-D systems without sacrificing the effectiveness in accessing the single images characteristic of 2-D ones.
Reversible 3-D decorrelation of medical images
- PhysicsIEEE Trans. Medical Imaging
- 1993
It is shown that HINT cannot be extended straightforwardly to 3-D images as contrasted with DPCM, and a3-D HINT is proposed which is based on a combination of 2-D and 3- D filters.
Hierarchy embedded differential image for progressive transmission using lossless compression
- Computer ScienceIEEE Trans. Circuits Syst. Video Technol.
- 1995
Experiments were conducted to compare these structures in terms of their first order entropy and RMS errors in the reconstruction process and results indicate that the mean-sampling with circular-difference method yields the lowest entropy, comparable to that with 1-D lossless DPCM predictive coding.
Occlusion-adaptive, content-based mesh design and forward tracking
- Computer ScienceIEEE Trans. Image Process.
- 1997
An occlusion-adaptive forward-tracking mesh model, where connectivity of the mesh elements (patches) across covered and uncovered region boundaries are broken, enables better rendition of the motion, while tracking is necessary to avoid transmission of all node locations at each frame.
Reversible compression of MR images
- Computer ScienceIEEE Transactions on Medical Imaging
- 1999
A realistic level of expectation is established regarding the bit rates in reversible MR image compression, in general, and the bit rate using static modeling, in particular, to give bit rates comparable to the best existing reversible methods.
Lossy-to-lossless compression of medical volumetric data using three-dimensional integer wavelet transforms
- Computer ScienceIEEE Transactions on Medical Imaging
- 2003
Two state-of-the-art 3-D wavelet video coding techniques are modified and applied to compression of medical volumetric data, achieving the best performance published so far in the literature-both in terms of lossy and lossless compression.
The use of contextual information in the reversible compression of medical images
- PhysicsIEEE Trans. Medical Imaging
- 1992
The authors investigate the use of conditioning events (or contexts) in improving the performances of known compression methods by building a source model with multiple contexts to code the decorrelated pixels, and show that the performance of these methods can be enhanced significantly, sometimes even up to 40%, by using contexts.