{"id":272,"date":"2011-01-01T07:46:34","date_gmt":"2023-05-22T08:01:24","guid":{"rendered":"https:\/\/www.lasselaursen.com\/projects\/icon-set-selection-via-human-computation-6\/"},"modified":"2023-06-02T08:05:59","modified_gmt":"2023-06-02T08:05:59","slug":"registration-based-volumetric-interpolation","status":"publish","type":"page","link":"https:\/\/www.lasselaursen.com\/projects\/registration-based-volumetric-interpolation\/","title":{"rendered":"Registration-based Volumetric Interpolation"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-1 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p>Volumetric rendering has come a long way since its first appearance decades ago. Graphics cards have been subject to massive technological advancements and are still evolving to push more and more raw data across ever increasing data paths. Even so, there are considerable advantages to re-producing accurate and original data from sparse data.<\/p>\n\n\n\n<p>Overall, less samples means less time to complete a scan, which in turn means more energy\/money saved. In the specific case of people, less time in a scanner means less time that the patient needs to remains still and be bombarded by various particles.<\/p>\n\n\n\n<p>In this work we looked closer at how to more accurately re-create missing data from an existing data set, without any prior knowledge of the missing data.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Registration-based Volume Interpolation\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/ABNxo09RSFY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\">Publication and resources<\/h4>\n\n\n\n<ul>\n<li><strong>Registration-based interpolation real-time volume visualization<\/strong><br>Lasse Farnung Laursen, Hildur \u00d3lafsd\u00f3ttir, Jakob Andreas B\u00e6rentzen, Michael Sass Hansen, Bjarne Kj\u00e6r Ersb\u00f8ll, in SCCG \u201912: Proceedings of the 28th Spring Conference on Computer Graphics, pp. 15-21<br><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/2448531.2448533?cid=81554950756\">Published PDF<\/a><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\">Quick Facts<\/h4>\n\n\n\n<ul>\n<li>Possibly first ever implementation of registration-based interpolation executing on a GPU.<\/li>\n\n\n\n<li>Implemented from scratch in C++ and C for Graphics.<\/li>\n\n\n\n<li>Integral part of <a href=\"http:\/\/www.lasselaursen.com\/project\/virtualcuts\">Virtual Cuts<\/a> project.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\">Method<\/h4>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-2 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p>Interpolation can roughly be categorized into two types; <a>Feature-Aware, and Not Feature-Aware.<\/a> We use a registration method based on B-splines to determine feature correspondence in all of the data slices we work with.<\/p>\n\n\n\n<p>With the help of texture offsets generated from feature correspondence, <a>the steps to performing registration-based interpolation<\/a> is straight-forward. In brief, the registration proceeds just as with trilinear interpolation, except we now apply an offset vector to the interpolation along the axis we have calculated feature correspondences for.<\/p>\n\n\n\n<p><a>A more detailed illustration is available in the third image on the right.<\/a><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interp-types.png\" data-rel=\"lightbox-gallery-1wet8cbQ\" data-magnific_type=\"image\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"541\" src=\"https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interp-types-1024x541.png\" alt=\"\" class=\"wp-image-389\" srcset=\"https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interp-types-1024x541.png 1024w, https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interp-types-300x158.png 300w, https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interp-types-768x406.png 768w, https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interp-types.png 1185w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption class=\"wp-element-caption\">Interpolation types<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interpolation_steps.jpg\" data-rel=\"lightbox-gallery-1wet8cbQ\" data-magnific_type=\"image\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"344\" src=\"https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interpolation_steps-1024x344.jpg\" alt=\"\" class=\"wp-image-387\" srcset=\"https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interpolation_steps-1024x344.jpg 1024w, https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interpolation_steps-300x101.jpg 300w, https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interpolation_steps-768x258.jpg 768w, https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interpolation_steps.jpg 1168w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption class=\"wp-element-caption\">Interpolation steps<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interpolation-zoom.jpg\" data-rel=\"lightbox-gallery-1wet8cbQ\" data-magnific_type=\"image\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img loading=\"lazy\" decoding=\"async\" width=\"588\" height=\"722\" src=\"https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interpolation-zoom.jpg\" alt=\"\" class=\"wp-image-388\" srcset=\"https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interpolation-zoom.jpg 588w, https:\/\/www.lasselaursen.com\/wp-content\/uploads\/2023\/05\/interpolation-zoom-244x300.jpg 244w\" sizes=\"(max-width: 588px) 100vw, 588px\" \/><\/a><figcaption class=\"wp-element-caption\">Detailed interpolation<\/figcaption><\/figure>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Volumetric rendering has come a long way since its first appearance decades ago. Graphics cards have been subject to massive technological advancements and are still evolving to push more and more raw data across ever increasing data paths. Even so, there are considerable advantages to re-producing accurate and original data from sparse data. Overall, less [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":555,"parent":142,"menu_order":8,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_FSMCFIC_featured_image_caption":"","_FSMCFIC_featured_image_nocaption":"","_FSMCFIC_featured_image_hide":"","footnotes":""},"_links":{"self":[{"href":"https:\/\/www.lasselaursen.com\/wp-json\/wp\/v2\/pages\/272"}],"collection":[{"href":"https:\/\/www.lasselaursen.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.lasselaursen.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.lasselaursen.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lasselaursen.com\/wp-json\/wp\/v2\/comments?post=272"}],"version-history":[{"count":8,"href":"https:\/\/www.lasselaursen.com\/wp-json\/wp\/v2\/pages\/272\/revisions"}],"predecessor-version":[{"id":404,"href":"https:\/\/www.lasselaursen.com\/wp-json\/wp\/v2\/pages\/272\/revisions\/404"}],"up":[{"embeddable":true,"href":"https:\/\/www.lasselaursen.com\/wp-json\/wp\/v2\/pages\/142"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.lasselaursen.com\/wp-json\/wp\/v2\/media\/555"}],"wp:attachment":[{"href":"https:\/\/www.lasselaursen.com\/wp-json\/wp\/v2\/media?parent=272"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}