{"id":13010,"date":"2026-04-30T15:00:00","date_gmt":"2026-04-30T12:00:00","guid":{"rendered":"https:\/\/umram.bilkent.edu.tr\/?p=13010"},"modified":"2026-10-28T16:42:11","modified_gmt":"2026-10-28T13:42:11","slug":"new-publication-in-applied-sciences-integrated-image-enhancement-and-radiomic-analysis-for-ultra-high-field-7t-time-of-flight-mr-angiography","status":"publish","type":"post","link":"https:\/\/umram.bilkent.edu.tr\/index.php\/2026\/04\/30\/new-publication-in-applied-sciences-integrated-image-enhancement-and-radiomic-analysis-for-ultra-high-field-7t-time-of-flight-mr-angiography\/","title":{"rendered":"New publication in Applied Sciences: Integrated Image Enhancement and Radiomic Analysis for Ultra-High-Field 7T Time-of-Flight MR Angiography"},"content":{"rendered":"<p>Oktay Alg\u0131n and colleagues have published \u201cIntegrated Image Enhancement and Radiomic Analysis for Ultra-High-Field 7T Time-of-Flight MR Angiography\u201d in Applied Sciences (April 2026).<\/p>\n<p class=\"paper-summary\">The study presents TOFR-VET, a MATLAB toolkit that brings vessel enhancement, image quality measurement and radiomic feature extraction into one workflow for 7 Tesla time-of-flight MR angiography of brain vessels. Tested on scans from 120 people, it shows how different enhancement methods change image quality and the quantitative features extracted from the images. A standard workflow makes measurements from these detailed vessel images more consistent and comparable.<\/p>\n<p>Authors: Hussain A. Jaber, \u0130lyas \u00c7ankaya, <strong>Oktay Alg\u0131n<\/strong><\/p>\n<p><a href=\"https:\/\/doi.org\/10.3390\/app16094408\" target=\"_blank\" rel=\"noopener\">Read the paper<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Oktay Alg\u0131n and colleagues have published \u201cIntegrated Image Enhancement and Radiomic Analysis for Ultra-High-Field 7T Time-of-Flight MR Angiography\u201d in Applied Sciences (April 2026). The study presents TOFR-VET, a MATLAB toolkit that brings vessel enhancement, image quality measurement and radiomic feature extraction into one workflow for 7 Tesla time-of-flight MR angiography of brain vessels. Tested on\u2026<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[256],"tags":[],"class_list":["post-13010","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/13010","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/comments?post=13010"}],"version-history":[{"count":2,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/13010\/revisions"}],"predecessor-version":[{"id":13226,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/13010\/revisions\/13226"}],"wp:attachment":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/media?parent=13010"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/categories?post=13010"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/tags?post=13010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}