{"id":6370,"date":"2023-10-12T11:09:32","date_gmt":"2023-10-12T11:09:32","guid":{"rendered":"https:\/\/dailyai.com\/?p=6370"},"modified":"2023-10-12T11:09:32","modified_gmt":"2023-10-12T11:09:32","slug":"mindeye-retrieves-and-reconstructs-images-from-brain-scans","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/10\/mindeye-retrieves-and-reconstructs-images-from-brain-scans\/","title":{"rendered":"MindEye henter og rekonstruerer bilder fra hjerneskanninger"},"content":{"rendered":"

MedARC utvikler grunnleggende AI-modeller for medisin, og deres nyeste modell, MindEye, kan fortelle hva du har sett p\u00e5.<\/strong><\/p>\n

MindEye er en fMRI-til-bilde AI-modell som kan tilordne funksjonell magnetisk resonansavbildning (fMRI) av hjerneaktivitet til OpenAIs CLIP-bilderom.<\/p>\n

De brukte fMRI-skanninger fra Natural Scenes Dataset (NSD). NSD best\u00e5r av h\u00f8yoppl\u00f8selige fMRI-skanninger av hele hjernen til \u00e5tte friske voksne fors\u00f8kspersoner mens de s\u00e5 p\u00e5 tusenvis av naturlige fargescener i l\u00f8pet av 30-40 skannings\u00f8kter.<\/p>\n

MindEye kan analysere en fMRI-skanning og deretter hente frem det n\u00f8yaktige originalbildet personen s\u00e5 p\u00e5 fra listen over testbilder. Selv om bildene er sv\u00e6rt like, for eksempel ulike bilder av sebraer, identifiserer MindEye likevel det riktige bildet i 93,2% av tilfellene.<\/p>\n

Den kan til og med identifisere lignende bilder fra en enorm bildedatabase med milliarder av bilder, som LAION-5B-databasen.<\/p>\n

\"bildegjenfinning
Bildeidentifikasjon basert p\u00e5 fMRI-hjerneskanninger. Kilde: MedARC<\/a><\/figcaption><\/figure>\n

N\u00e5r MindEye har oversatt fMRI-skanningene til CLIP-bilderommet, kan disse mates inn i en forh\u00e5ndstrenet bildegenereringsmodell som Stable Diffusion eller lignende modeller. MedARC brukte Versatile Diffusion til \u00e5 fors\u00f8ke \u00e5 gjenskape det opprinnelige bildet som fors\u00f8kspersonen s\u00e5 p\u00e5.<\/p>\n

MindEye f\u00e5r ikke denne delen 100% riktig, men det er likevel veldig imponerende. Her er resultatene sammenlignet med resultatene fra tidligere studier.<\/p>\n

\"bilderekonstruksjon
Rekonstruksjoner side om side med resultater fra andre fMRI-til-bilde-rekonstruksjonsmodeller. Kilde: MedARC<\/a><\/figcaption><\/figure>\n

Potensial og sp\u00f8rsm\u00e5l<\/h2>\n

\u00c5 si at MindEye kan vite hva du har sett p\u00e5, er litt av en forenkling. For \u00e5 f\u00e5 fMRI-dataene m\u00e5tte fors\u00f8kspersonene tilbringe rundt 40 timer i en MR-maskin, og bildene modellen ble trent p\u00e5, var begrenset.<\/p>\n

Likevel vil det v\u00e6re av stor interesse for hjerneforskere \u00e5 f\u00e5 et innblikk i hvordan en person oppfatter visuell stimulering.<\/p>\n

\u00c5 vise et bilde til en pasient, skanne hjernen deres og deretter gjenskape deres oppfatning av bildet kan bidra til klinisk diagnostisering. I forskningsrapporten forklares det at \"pasienter som lider av alvorlig depressiv lidelse, kan produsere rekonstruksjoner der f\u00f8lelsesmessig negative aspekter ved bilder er mer fremtredende.\"<\/p>\n

Forskningen kan ogs\u00e5 bidra til \u00e5 kommunisere med pasienter som lider av locked-in-syndrom (pseudokoma).<\/p>\n

For \u00e5 f\u00e5 fullt utbytte av disse bruksomr\u00e5dene m\u00e5 vi vente p\u00e5 bedre grensesnitt mellom hjerne og datamaskin eller wearables som ikke krever at en person m\u00e5 ligge i en MR-maskin i timevis.<\/p>\n

MedARC erkjenner at forskningen deres ogs\u00e5 gir grunn til forsiktighet. \"Evnen til \u00e5 rekonstruere persepsjon n\u00f8yaktig ut fra hjerneaktivitet reiser sp\u00f8rsm\u00e5l om bredere samfunnsmessige konsekvenser\", heter det i forskningsartikkelen.<\/p>\n

Hvis det etter hvert ble utviklet effektive, ikke-invasive metoder, kunne man potensielt lese tankene til en person og vite hva vedkommende s\u00e5 p\u00e5.<\/p>\n

Fremskrittet i bruken av Kunstig intelligens innen nevrovitenskap<\/a> er fascinerende og vil utvilsomt hjelpe klinikere innen psykisk helse<\/a>. Men det reiser ogs\u00e5 en rekke etiske og personvernmessige sp\u00f8rsm\u00e5l om hvordan vi kan fortsette \u00e5 holde tankene v\u00e5re for oss selv.<\/p>","protected":false},"excerpt":{"rendered":"

MedARC utvikler grunnleggende AI-modeller for medisin, og deres nyeste modell, MindEye, kan fortelle hva du har sett p\u00e5. MindEye er en fMRI-til-bilde AI-modell som kan kartlegge funksjonell magnetisk resonansavbildning (fMRI) av hjerneaktivitet til OpenAIs CLIP-bilderom. fMRI-skanningene de brukte, kom fra Natural Scenes Dataset (NSD). NSD best\u00e5r av h\u00f8yoppl\u00f8selige fMRI-skanninger av hele hjernen til \u00e5tte friske voksne fors\u00f8kspersoner mens de s\u00e5 p\u00e5 tusenvis av naturlige fargescener i l\u00f8pet av 30-40 skannings\u00f8kter. MindEye kan analysere en fMRI-skanning og deretter hente ut det n\u00f8yaktige originalbildet personen s\u00e5 p\u00e5<\/p>","protected":false},"author":6,"featured_media":6375,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[203,107,165],"class_list":["post-6370","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-biotech","tag-generative-ai","tag-image-generation"],"yoast_head":"\nMindEye retrieves and reconstructs images from brain scans | DailyAI<\/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:\/\/dailyai.com\/nb\/2023\/10\/mindeye-retrieves-and-reconstructs-images-from-brain-scans\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MindEye retrieves and reconstructs images from brain scans | DailyAI\" \/>\n<meta property=\"og:description\" content=\"MedARC develops foundational AI models for medicine and their latest model, MindEye, can tell what you\u2019ve been looking at. 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