{"id":57,"date":"2018-09-30T16:28:14","date_gmt":"2018-09-30T16:28:14","guid":{"rendered":"http:\/\/easi-cil.compute.dtu.dk\/?page_id=57"},"modified":"2018-09-30T16:28:14","modified_gmt":"2018-09-30T16:28:14","slug":"mect-reconstruction","status":"publish","type":"page","link":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/research\/mect-reconstruction\/","title":{"rendered":"Multi-Energy Computed Tomography (MECT) Reconstruction"},"content":{"rendered":"<p>Computed tomography is necessarily when estimating fluid material properties that are imaged via radiography. Application-specific constraints, such as processing speed, construction constraints and automated data processing policies, require the reconstruction of volumetric MECT from compressed-sensing radiographic projections. We address this challenge via iterative reconstruction and deep neural networks.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Computed tomography is necessarily when estimating fluid material properties that are imaged via radiography. Application-specific constraints, such as processing speed, construction constraints and automated data processing policies, require the reconstruction of volumetric MECT from compressed-sensing radiographic projections. We address this challenge via iterative reconstruction and deep neural networks.<\/p>\n","protected":false},"author":1,"featured_media":58,"parent":5,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-57","page","type-page","status-publish","has-post-thumbnail","hentry","clear"],"_links":{"self":[{"href":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/wp-json\/wp\/v2\/pages\/57","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/wp-json\/wp\/v2\/comments?post=57"}],"version-history":[{"count":1,"href":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/wp-json\/wp\/v2\/pages\/57\/revisions"}],"predecessor-version":[{"id":59,"href":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/wp-json\/wp\/v2\/pages\/57\/revisions\/59"}],"up":[{"embeddable":true,"href":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/wp-json\/wp\/v2\/pages\/5"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/wp-json\/wp\/v2\/media\/58"}],"wp:attachment":[{"href":"http:\/\/easi-cil.compute.dtu.dk\/index.php\/wp-json\/wp\/v2\/media?parent=57"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}