{"id":15370,"date":"2024-02-17T20:02:58","date_gmt":"2024-02-17T19:02:58","guid":{"rendered":"https:\/\/sano.science\/?p=15370"},"modified":"2024-06-12T18:30:51","modified_gmt":"2024-06-12T16:30:51","slug":"federated-image-to-image-mri-translation-from-heterogeneous-multiple-sites-data-at-2024-ismrm-ismrt-annual-meeting-exhibition","status":"publish","type":"post","link":"https:\/\/sano.science\/federated-image-to-image-mri-translation-from-heterogeneous-multiple-sites-data-at-2024-ismrm-ismrt-annual-meeting-exhibition\/","title":{"rendered":"&#8220;Federated image-to-image MRI translation from heterogeneous multiple-sites data\u201d at 2024 ISMRM &amp; ISMRT Annual Meeting &amp; Exhibition\u00a0\u00a0\u00a0\u00a0"},"content":{"rendered":"\n<p class=\" eplus-wrapper\">There are unlikely to be many adults who have never had an MRI examination in their life. Magnetic resonance imaging or MRI is widely known as one of the most common and effective medical imaging techniques employed in medical diagnosis and treatment. Nevertheless, this technology has some shortcomings: the acquisition time of MRI data can be long, especially when multiple modalities are involved (such as T1-weighted, T2-weighted, and FLAIR). Moreover, along with multi-parameter acquisitions often come problems of missing or contradictory data.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The <strong>Translation<\/strong> is now regarded as a perspective <strong>Machine Learning<\/strong> technique, that could significantly reduce the acquisition time as we can only collect T1-weighted data and synthesize T2-weighted and FLAIR data from it, automatically solving the problem of missing data for multi-parameter acquisitions. However, <strong>Translation<\/strong> has its constraints, such as the need for the development of large and diverse datasets.&nbsp;&nbsp;<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">In a new research, Sano scientists <strong>Jan Fiszer, Dominika Ciupek<\/strong><strong>, Dr. Maciej Malawski, <\/strong>and<strong> Dr. Tomasz Pieciak<\/strong> from ETSI Telecomunicaci\u00f3n, Universidad de Valladolid, prove that <strong>Federated Learning (FL)<\/strong>, as a method of multi-site data aggregation, is more effective for utilizing deep learning models in MRI image translation. Moreover,<strong> Federated Learning<\/strong> aggregates information about data from various centres without transferring the data between the sources, which lowers concerns about sharing sensitive medical data.&nbsp;<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">We are happy to share that the paper \u201cFederated image-to-image MRI translation from heterogeneous multiple-sites data\u201d was accepted for a poster presentation at The International Society for Magnetic Resonance in Medicine (ISMRM) &amp; The International Society for MR Radiographers &amp; Technologists (<strong>ISMRT) Annual Meeting &amp; Exhibition, on 4-9 May 2024, Singapore<\/strong>&nbsp;<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">More about the conference <a href=\"https:\/\/www.ismrm.org\/24m\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.ismrm.org\/24m\/<\/a>&nbsp;<\/p>\n","protected":false},"excerpt":"There are unlikely to be many adults who have never had an MRI examination in their life. Magnetic resonance imaging or MRI is widely known as one of the most common and effective medical imaging techniques employed in medical diagnosis and treatment. Nevertheless, this technology has some shortcomings: the acquisition time of MRI data can [&hellip;]","author":5,"featured_media":15373,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"editor_plus_post_options":"{}","editor_plus_copied_stylings":"{}","footnotes":""},"categories":[1],"tags":[],"class_list":["post-15370","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>&quot;Federated image-to-image MRI translation from heterogeneous multiple-sites data\u201d at 2024 ISMRM &amp; ISMRT Annual Meeting &amp; Exhibition\u00a0\u00a0\u00a0\u00a0 - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/federated-image-to-image-mri-translation-from-heterogeneous-multiple-sites-data-at-2024-ismrm-ismrt-annual-meeting-exhibition\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"&quot;Federated image-to-image MRI translation from heterogeneous multiple-sites data\u201d at 2024 ISMRM &amp; ISMRT Annual Meeting &amp; Exhibition\u00a0\u00a0\u00a0\u00a0\" \/>\n<meta property=\"og:description\" content=\"There are unlikely to be many adults who have never had an MRI examination in their life. Magnetic resonance imaging or MRI is widely known as one of the most common and effective medical imaging techniques employed in medical diagnosis and treatment. Nevertheless, this technology has some shortcomings: the acquisition time of MRI data can [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/federated-image-to-image-mri-translation-from-heterogeneous-multiple-sites-data-at-2024-ismrm-ismrt-annual-meeting-exhibition\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-02-17T19:02:58+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-06-12T16:30:51+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/02\/ISMRM-ISMRT-Annual-Meeting-Exhibition.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"675\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"sano.science\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"sano.science\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/sano.science\\\/federated-image-to-image-mri-translation-from-heterogeneous-multiple-sites-data-at-2024-ismrm-ismrt-annual-meeting-exhibition\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sano.science\\\/federated-image-to-image-mri-translation-from-heterogeneous-multiple-sites-data-at-2024-ismrm-ismrt-annual-meeting-exhibition\\\/\"},\"author\":{\"name\":\"sano.science\",\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/person\\\/f227b0ab82caaee3d1a4a73ed3b4e83d\"},\"headline\":\"&#8220;Federated image-to-image MRI translation from heterogeneous multiple-sites data\u201d at 2024 ISMRM &amp; 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Magnetic resonance imaging or MRI is widely known as one of the most common and effective medical imaging techniques employed in medical diagnosis and treatment. Nevertheless, this technology has some shortcomings: the acquisition time of MRI data can be long, especially when multiple modalities are involved (such as T1-weighted, T2-weighted, and FLAIR). Moreover, along with multi-parameter acquisitions often come problems of missing or contradictory data.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">There are unlikely to be many adults who have never had an MRI examination in their life. Magnetic resonance imaging or MRI is widely known as one of the most common and effective medical imaging techniques employed in medical diagnosis and treatment. Nevertheless, this technology has some shortcomings: the acquisition time of MRI data can be long, especially when multiple modalities are involved (such as T1-weighted, T2-weighted, and FLAIR). Moreover, along with multi-parameter acquisitions often come problems of missing or contradictory data.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-PTlLck","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-aMyz8V","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The <strong>Translation<\/strong> is now regarded as a perspective <strong>Machine Learning<\/strong> technique, that could significantly reduce the acquisition time as we can only collect T1-weighted data and synthesize T2-weighted and FLAIR data from it, automatically solving the problem of missing data for multi-parameter acquisitions. However, <strong>Translation<\/strong> has its constraints, such as the need for the development of large and diverse datasets.&nbsp;&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The <strong>Translation<\/strong> is now regarded as a perspective <strong>Machine Learning<\/strong> technique, that could significantly reduce the acquisition time as we can only collect T1-weighted data and synthesize T2-weighted and FLAIR data from it, automatically solving the problem of missing data for multi-parameter acquisitions. However, <strong>Translation<\/strong> has its constraints, such as the need for the development of large and diverse datasets.&nbsp;&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-PTlLck","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Cjxk3r","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">In a new research, Sano scientists <strong>Jan Fiszer, Dominika Ciupek<\/strong><strong>, Dr. Maciej Malawski, <\/strong>and<strong> Dr. Tomasz Pieciak<\/strong> from ETSI Telecomunicaci\u00f3n, Universidad de Valladolid, prove that <strong>Federated Learning (FL)<\/strong>, as a method of multi-site data aggregation, is more effective for utilizing deep learning models in MRI image translation. Moreover,<strong> Federated Learning<\/strong> aggregates information about data from various centres without transferring the data between the sources, which lowers concerns about sharing sensitive medical data.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">In a new research, Sano scientists <strong>Jan Fiszer, Dominika Ciupek<\/strong><strong>, Dr. Maciej Malawski, <\/strong>and<strong> Dr. Tomasz Pieciak<\/strong> from ETSI Telecomunicaci\u00f3n, Universidad de Valladolid, prove that <strong>Federated Learning (FL)<\/strong>, as a method of multi-site data aggregation, is more effective for utilizing deep learning models in MRI image translation. Moreover,<strong> Federated Learning<\/strong> aggregates information about data from various centres without transferring the data between the sources, which lowers concerns about sharing sensitive medical data.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"10px","epAnimationGeneratedClass":"edplus_anim-PTlLck","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-qczqS2","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">We are happy to share that the paper \u201cFederated image-to-image MRI translation from heterogeneous multiple-sites data\u201d was accepted for a poster presentation at The International Society for Magnetic Resonance in Medicine (ISMRM) &amp; The International Society for MR Radiographers &amp; Technologists (<strong>ISMRT) Annual Meeting &amp; Exhibition, on 4-9 May 2024, Singapore<\/strong>&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">We are happy to share that the paper \u201cFederated image-to-image MRI translation from heterogeneous multiple-sites data\u201d was accepted for a poster presentation at The International Society for Magnetic Resonance in Medicine (ISMRM) &amp; The International Society for MR Radiographers &amp; Technologists (<strong>ISMRT) Annual Meeting &amp; Exhibition, on 4-9 May 2024, Singapore<\/strong>&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-PTlLck","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-ynaJxz","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">More about the conference <a href=\"https:\/\/www.ismrm.org\/24m\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.ismrm.org\/24m\/<\/a>&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">More about the conference <a href=\"https:\/\/www.ismrm.org\/24m\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.ismrm.org\/24m\/<\/a>&nbsp;<\/p>\n"]}],"meta_data":{"has_thumbnail_pattern":false,"share_on_social_media":{"has_social_media":false}},"featured_image":{"url":"https:\/\/sano.science\/wp-content\/uploads\/2024\/02\/ISMRM-ISMRT-Annual-Meeting-Exhibition-1024x576.png"},"main_category":{"name":"Uncategorized"},"prev_page":{"slug":"sano-scientists-visited-solaris-national-synchrotron-radiation-centre"},"next_page":{"slug":"the-craft-of-scientific-modelling-how-do-we-know-the-foundation-of-decision-making-a-lecture-by-marco-viceconti-unibo"},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/15370","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/comments?post=15370"}],"version-history":[{"count":3,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/15370\/revisions"}],"predecessor-version":[{"id":17172,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/15370\/revisions\/17172"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/15373"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=15370"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/categories?post=15370"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/tags?post=15370"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}