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Existing TF tools are complex and unintuitive for the users who are more likely to be medical professionals than computer scientists. In this article, we propose a novel image-centric method for TF generation where instead of complex tools, the user directly manipulates volume data to generate DVR. The user\u2019s work is further simplified by presenting only the most informative volume slices for selection. Based on the selected parts, the voxels are classified using our novel sparse nonparametric support vector machine classifier, which combines both local and near-global distributional information of the training data. The voxel classes are mapped to aesthetically pleasing and distinguishable color and opacity values using harmonic colors. Experimental results on several benchmark datasets and a detailed user survey show the effectiveness of the proposed method.<\/jats:p>","DOI":"10.1145\/3152875","type":"journal-article","created":{"date-parts":[[2018,1,31]],"date-time":"2018-01-31T08:25:40Z","timestamp":1517387140000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A Novel Image-Centric Approach Toward Direct Volume Rendering"],"prefix":"10.1145","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8229-0747","authenticated-orcid":false,"given":"Naimul Mefraz","family":"Khan","sequence":"first","affiliation":[{"name":"Ryerson University, Toronto, ON"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Riadh","family":"Ksantini","sequence":"additional","affiliation":[{"name":"University of Windsor, SUP\u2019COM, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Guan","sequence":"additional","affiliation":[{"name":"Ryerson University, Toronto, ON"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,1,30]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.846154"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141933"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2008.162"},{"key":"e_1_2_1_4_1","doi-asserted-by":"crossref","unstructured":"M. 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