Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8214448 | International Journal of Radiation Oncology*Biology*Physics | 2016 | 24 Pages |
Abstract
Block-matching and 3D filtering can significantly reduce random image noise while maintaining structural features in the SG-KS-4D-MRI datasets. In this study of pancreatic tumor segmentation, automatic segmentation of GTV in the registered image sets is shown to be more consistent on the denoised 4D-MRI than on the raw 4D-MRI.
Related Topics
Physical Sciences and Engineering
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Radiation
Authors
Jun MS, Elizabeth MS, Zhaoyang PhD, Richard MD, PhD, Zixin MS, Jianing PhD, Benedick PhD, Debiao PhD, Howard MS, MD, Guang BS, Ke PhD, Shuiping PhD, Wensha PhD,