{"id":395,"date":"2021-05-07T00:20:00","date_gmt":"2021-05-07T00:20:00","guid":{"rendered":"https:\/\/mri.sbollmann.net\/?p=395"},"modified":"2021-08-05T00:24:43","modified_gmt":"2021-08-05T00:24:43","slug":"qsmxt-preprint","status":"publish","type":"post","link":"https:\/\/mri.sbollmann.net\/index.php\/2021\/05\/07\/qsmxt-preprint\/","title":{"rendered":"QSMxT preprint"},"content":{"rendered":"\n<p>Our latest preprint describes the QSMxT pipeline developed by Ashley Stewart &#8211; a CIBIT PhD student in our team: QSMxT enables robust &amp; automated quantitative susceptibility mapping and extraction of quantitative information from regions of interest.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"498\" src=\"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/08\/image-9-1024x498.png\" alt=\"\" class=\"wp-image-397\" srcset=\"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/08\/image-9-1024x498.png 1024w, https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/08\/image-9-300x146.png 300w, https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/08\/image-9-768x373.png 768w, https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/08\/image-9.png 1276w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>The QSMxT pipeline aims to support all QSM processing steps from the raw Dicom data to the final segmentations. <\/figcaption><\/figure>\n\n\n\n<p>The code can be found here: <a href=\"https:\/\/github.com\/QSMxT\/QSMxT\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/QSMxT\/QSMxT<\/a><\/p>\n\n\n\n<p>The preprint is here: <a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2021.05.05.442850v1\">QSMxT: Robust Masking and Artefact Reduction for Quantitative Susceptibility Mapping | bioRxiv<\/a><\/p>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/08\/Stewart-et-al.-2021-QSMxT-Robust-Masking-and-Artefact-Reduction-for-Q.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Embed of Stewart-et-al.-2021-QSMxT-Robust-Masking-and-Artefact-Reduction-for-Q..\"><\/object><a href=\"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/08\/Stewart-et-al.-2021-QSMxT-Robust-Masking-and-Artefact-Reduction-for-Q.pdf\">Stewart-et-al.-2021-QSMxT-Robust-Masking-and-Artefact-Reduction-for-Q<\/a><a href=\"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/08\/Stewart-et-al.-2021-QSMxT-Robust-Masking-and-Artefact-Reduction-for-Q.pdf\" class=\"wp-block-file__button\" download>Download<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Our latest preprint describes the QSMxT pipeline developed by Ashley Stewart &#8211; a CIBIT PhD student in our team: QSMxT enables robust &amp; automated quantitative susceptibility mapping and extraction of quantitative information from regions of interest. The code can be found here: https:\/\/github.com\/QSMxT\/QSMxT The preprint is here: QSMxT: Robust Masking [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":397,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[25,13,4,14,3],"tags":[],"class_list":["post-395","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-containers","category-publications","category-python","category-quantitative-susceptibility-mapping","category-reproducibility"],"jetpack_featured_media_url":"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/08\/image-9.png","_links":{"self":[{"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts\/395","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/comments?post=395"}],"version-history":[{"count":1,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts\/395\/revisions"}],"predecessor-version":[{"id":398,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts\/395\/revisions\/398"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/media\/397"}],"wp:attachment":[{"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/media?parent=395"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/categories?post=395"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/tags?post=395"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}