{"id":311,"date":"2020-10-19T22:25:00","date_gmt":"2020-10-19T22:25:00","guid":{"rendered":"https:\/\/mri.sbollmann.net\/?p=311"},"modified":"2021-01-12T23:29:42","modified_gmt":"2021-01-12T23:29:42","slug":"improving-flair-sar-efficiency-at-7t-by-adaptive-tailoring-of-adiabatic-pulse-power-through-deep-learning-estimation","status":"publish","type":"post","link":"https:\/\/mri.sbollmann.net\/index.php\/2020\/10\/19\/improving-flair-sar-efficiency-at-7t-by-adaptive-tailoring-of-adiabatic-pulse-power-through-deep-learning-estimation\/","title":{"rendered":"Improving FLAIR SAR Efficiency at 7T by Adaptive Tailoring of Adiabatic Pulse Power through Deep Learning Estimation"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large is-style-default\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"559\" src=\"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/01\/image-20-1024x559.png\" alt=\"\" class=\"wp-image-312\" srcset=\"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/01\/image-20-1024x559.png 1024w, https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/01\/image-20-300x164.png 300w, https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/01\/image-20-768x419.png 768w, https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/01\/image-20-1536x838.png 1536w, https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/01\/image-20-2048x1117.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>Our new paper was published in MRM \ud83d\ude42 We predict the required inversion pulse power from a fast 3D localizer scan instead of a B1 map and it works well to reduce the SAR load of the sequence and save time.  <\/figcaption><\/figure>\n\n\n\n<p>The full publication can be found here:  <a href=\"https:\/\/doi.org\/10.1002\/mrm.28590\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1002\/mrm.28590<\/a><\/p>\n\n\n\n<p>The preprint is here: <a href=\"https:\/\/arxiv.org\/abs\/1911.08118\" target=\"_blank\" rel=\"noreferrer noopener\">[1911.08118] Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power using deep convolutional neural networks (arxiv.org)<\/a><\/p>\n\n\n\n<p>The data used to train the model is on OSF: <\/p>\n\n\n\n<p>And we also built a colab notebook (<a rel=\"noreferrer noopener\" href=\"https:\/\/mri.sbollmann.net\/index.php\/2020\/05\/27\/google-colab-osf\/\" data-type=\"post\" data-id=\"1\" target=\"_blank\">described here<\/a>) so you can play with the model and train your own version :): <a rel=\"noreferrer noopener\" href=\"https:\/\/colab.research.google.com\/drive\/1EOg5r30w0NtXJvTFdGhlR0ysGfaEaTpP\" target=\"_blank\">https:\/\/colab.research.google.com\/drive\/1EOg5r30w0NtXJvTFdGhlR0ysGfaEaTpP <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The full publication can be found here: https:\/\/doi.org\/10.1002\/mrm.28590 The preprint is here: [1911.08118] Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power using deep convolutional neural networks (arxiv.org) The data used to train the model is on OSF: And we also built a colab notebook (described [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":312,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,27,13,3,5],"tags":[],"class_list":["post-311","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-deep-learning","category-osf","category-publications","category-reproducibility","category-tensorflow"],"jetpack_featured_media_url":"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2021\/01\/image-20.png","_links":{"self":[{"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts\/311","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=311"}],"version-history":[{"count":1,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts\/311\/revisions"}],"predecessor-version":[{"id":313,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts\/311\/revisions\/313"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/media\/312"}],"wp:attachment":[{"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/media?parent=311"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/categories?post=311"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/tags?post=311"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}