{"id":4820,"date":"2023-12-28T15:09:18","date_gmt":"2023-12-28T14:09:18","guid":{"rendered":"https:\/\/web.infn.it\/TechTransfer\/portfolio_page\/puma\/"},"modified":"2026-02-09T10:30:45","modified_gmt":"2026-02-09T09:30:45","slug":"puma","status":"publish","type":"portfolio_page","link":"https:\/\/web.infn.it\/TechTransfer\/en\/portfolio_page\/puma\/","title":{"rendered":"PUMA"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column][vc_raw_html]W3dwc2VvX2JyZWFkY3J1bWJd[\/vc_raw_html][vc_empty_space][vc_column_text]<\/p>\n<h1 class=\"p1\">PUMA<\/h1>\n<h1><span style=\"color: #20415c;\"> <\/span><\/h1>\n<p>[\/vc_column_text][vc_empty_space][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;2\/3&#8243;][vc_column_text]<\/p>\n<h2 class=\"p1\">Pattern matching Unit for Medical Application<\/h2>\n<p>[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column width=&#8221;2\/3&#8243;][vc_empty_space][vc_column_text]The project aims to transfer the technologies developed for high-energy physics to Magnetic Resonance Fingerprinting (MRF), a methodology for the quantitative analysis of magnetic resonance images. In MRF, the acquired data are used to create a unique &#8220;fingerprint&#8221; of the properties of the different types of biological tissue. These fingerprints are then compared, through a special recognition algorithm, with a &#8220;dictionary,&#8221; to produce a quantitative map showing the properties of each tissue.[\/vc_column_text][vc_empty_space][vc_single_image image=&#8221;4823&#8243; img_size=&#8221;full&#8221; qode_css_animation=&#8221;&#8221;][vc_empty_space][vc_column_text]The process, therefore, takes place in three steps:<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>data acquisition;<\/li>\n<li>recognition (Pattern Matching);<\/li>\n<li>display of the tissue properties.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>The slow stage is step 2, because the processing time increases exponentially with the size of the dictionary. For each pixel acquired, it is necessary to compare the measured signal with the one recorded in the dictionary; each comparison is performed sequentially on the CPU or GPU, and the complete reconstruction of a typical dataset takes days. <\/p>\n<p>&nbsp;<\/p>\n<p>The proposed technology is instead based on parallel processing, executed through FPGAs and a specially developed Associative Memory, integrated on a dedicated ASIC. This can speed up the process by thousands of times compared to traditional GPU processing.[\/vc_column_text][vc_empty_space][\/vc_column][vc_column width=&#8221;1\/4&#8243; css=&#8221;.vc_custom_1703772967700{margin-bottom: 50px !important;background-color: #042d4c !important;}&#8221; el_class=&#8221;column_details_portfolio&#8221;][vc_column_text]<\/p>\n<h4><span style=\"color: #ffffff;\">INFO<\/span><\/h4>\n<p>[\/vc_column_text][vc_empty_space][vc_column_text css=&#8221;.vc_custom_1703776047406{background-color: #042d4c !important;}&#8221;]<\/p>\n<h5 style=\"color: #4196b4;\"><strong>PROJECT MANAGER<\/strong><\/h5>\n<p style=\"color: #fff; font-weight: bold;\">Alberto Annovi<\/p>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;21px&#8221;][vc_column_text css=&#8221;.vc_custom_1703776057127{background-color: #042d4c !important;}&#8221;]<\/p>\n<h5 style=\"color: #4196b4;\"><strong>YEAR<\/strong><\/h5>\n<p><strong><span style=\"color: #ffffff;\">2020<\/span><\/strong>[\/vc_column_text][vc_empty_space height=&#8221;21px&#8221;][vc_column_text css=&#8221;.vc_custom_1720706824348{background-color: #042d4c !important;}&#8221;]<\/p>\n<h5 style=\"color: #4196b4;\"><strong>FACILITIES INVOLVED<\/strong><\/h5>\n<p><strong><span style=\"color: #ffffff;\"><a style=\"color: #ffffff; text-decoration: underline;\" href=\"https:\/\/www.pi.infn.it\/\" target=\"_blank\" rel=\"noopener\">Sezione di Pisa<\/a><\/span><\/strong>[\/vc_column_text][vc_empty_space height=&#8221;21px&#8221;][vc_column_text css=&#8221;.vc_custom_1714312584419{background-color: #042d4c !important;}&#8221;]<\/p>\n<h5 style=\"color: #4196b4;\"><strong>TECHNOLOGY SECTORS<\/strong><\/h5>\n<p><strong><span style=\"color: #ffffff;\">Development of electronic systems<br \/>\nDiagnostic imaging<\/span><\/strong>[\/vc_column_text][vc_empty_space height=&#8221;21px&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner el_class=&#8221;riga_spazio_progetti&#8221;][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=&#8221;21px&#8221;][vc_column_text css=&#8221;.vc_custom_1720706844608{background-color: #042d4c !important;}&#8221;]<\/p>\n<h5 style=\"color: #4196b4;\"><strong>CONTACTS<\/strong><\/h5>\n<p>For more information about the project, <a href=\"mailto:tto@lists.infn.it\">WRITE TO US <\/a>[\/vc_column_text][vc_empty_space height=&#8221;21px&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column][vc_empty_space height=&#8221;51px&#8221;][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column][vc_raw_html]W3dwc2VvX2JyZWFkY3J1bWJd[\/vc_raw_html][vc_empty_space][vc_column_text] PUMA [\/vc_column_text][vc_empty_space][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;2\/3&#8243;][vc_column_text] Pattern matching Unit for Medical Application [\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column width=&#8221;2\/3&#8243;][vc_empty_space][vc_column_text]The project aims to transfer the technologies developed for high-energy physics to Magnetic&#8230;<\/p>\n","protected":false},"author":1,"featured_media":4821,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","portfolio_category":[299,295,319,318,294],"portfolio_tag":[],"class_list":["post-4820","portfolio_page","type-portfolio_page","status-publish","has-post-thumbnail","hentry","portfolio_category-development-of-electronics-systems","portfolio_category-electronics-2","portfolio_category-imaging-3","portfolio_category-life-sciences-3","portfolio_category-r4i"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>PUMA - TechTransfer INFN<\/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:\/\/web.infn.it\/TechTransfer\/en\/portfolio_page\/puma\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PUMA - TechTransfer INFN\" \/>\n<meta property=\"og:description\" content=\"[vc_row css_animation=&#8221;&#8221; 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