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- W2187646939 abstract "We recently proposed a method for lossless compres- sion of 4-D medical images based on the advanced video coding standard (H.264/AVC). In this paper, we present two major con- tributions that enhance our previous work for compression of functional MRI (fMRI) data: 1) a new multiframe motion com- pensation process that employs 4-D search, variable-size block matching, and bidirectional prediction; and 2) a new context-based adaptive binary arithmetic coder designed for lossless compression of the residual and motion vector data. We validate our method on real fMRI sequences of various resolutions and compare the performance to two state-of-the-art methods: 4D-JPEG2000 and H.264/AVC. Quantitative results demonstrate that our proposed technique significantly outperforms current state of the art with an average compression ratio improvement of 13%." @default.
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- W2187646939 date "2009-01-01" @default.
- W2187646939 modified "2023-09-27" @default.
- W2187646939 title "Novel Lossless fMRI Image Compression Based on Motion Compensation and Customized" @default.
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