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We propose a method to restore the ideal boundary by splitting a voxel into subvoxels and reapportioning the signal into the subvoxels. Each voxel is divided by nearest neighbor interpolation. The gray level of each subvoxel is considered as \u201cmaterial\u201d able to move between subvoxels but not between voxels. A partial differential equation is written to allow the material to flow towards the highest gradient direction, creating a \u201creverse\u201d diffusion process. Flow is subject to constraints that tend to create step edges. Material is conserved in the process thereby conserving signal. The method proceeds until the flow decreases to a low value. To test the method, synthetic images were downsampled to simulate the partial volume artifact and restored. Corrected images were remarkably closer both visually and quantitatively to the original images than those obtained from common interpolation methods: on simulated data standard deviation of the errors were 3.8<jats:italic>%<\/jats:italic>, 6.6<jats:italic>%<\/jats:italic>, and 7.1<jats:italic>%<\/jats:italic>of the dynamic range for the proposed method, bicubic, and bilinear interpolation, respectively. The method was relatively insensitive to noise. On gray level, scanned text, MRI physical phantom, and brain images, restored images processed with the new method were visually much closer to high\u2010resolution counterparts than those obtained with common interpolation methods.<\/jats:p>","DOI":"10.1155\/ijbi\/2006\/92092","type":"journal-article","created":{"date-parts":[[2006,4,5]],"date-time":"2006-04-05T12:24:41Z","timestamp":1144239881000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Partial Volume Reduction by Interpolation with Reverse Diffusion"],"prefix":"10.1155","volume":"2006","author":[{"given":"Olivier","family":"Salvado","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claudia M.","family":"Hillenbrand","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David L.","family":"Wilson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2006,2,14]]},"reference":[{"key":"e_1_2_1_1_2","volume-title":"Digital Signal Processing: Principles, Algorithms and Applications","author":"Proakis J. 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