{"id":6343,"date":"2026-10-19T09:48:47","date_gmt":"2026-10-19T09:48:47","guid":{"rendered":"https:\/\/phd.hi.is\/doktorsvorn\/doktorsvorn-i-lif-og-laeknavisindum-robert-arnar-karlsson\/"},"modified":"2026-10-19T09:48:47","modified_gmt":"2026-10-19T09:48:47","slug":"doktorsvorn-i-lif-og-laeknavisindum-robert-arnar-karlsson","status":"publish","type":"phd_defence","link":"https:\/\/phd.hi.is\/en\/doktorsvorn\/doktorsvorn-i-lif-og-laeknavisindum-robert-arnar-karlsson\/","title":{"rendered":"Doktorsv\u00f6rn \u00ed l\u00edf- og l\u00e6knav\u00edsindum &#8211; R\u00f3bert Arnar Karlsson"},"content":{"rendered":"<div class=\"field-items\">\n<div class=\"field-item even\" property=\"content:encoded\">\n<p>F\u00f6studaginn 24. n\u00f3vember 2023 ver R\u00f3bert Arnar Karlsson doktorsritger\u00f0 s\u00edna \u00ed l\u00edf- og l\u00e6knav\u00edsindum vi\u00f0 L\u00e6knadeild H\u00e1sk\u00f3la \u00cdslands . Ritger\u00f0in ber heiti\u00f0 \u00der\u00f3un sj\u00e1lfvirkra a\u00f0fer\u00f0a \u00ed s\u00farefnism\u00e6lingum \u00ed augnbotnum. Automation of retinal oximetry. Doktorsgr\u00e1\u00f0an er sameiginleg me\u00f0 L\u00e6knadeild og Rafmagns- og t\u00f6lvuverkfr\u00e6\u00f0ideild.<\/p>\n<p>Andm\u00e6lendur eru dr. Giovanni Ometto, v\u00edsindama\u00f0ur vi\u00f0 City University of London, School of Health and Psychological Sciences, og dr. Goran Petrovski, pr\u00f3fessor vi\u00f0 augnl\u00e6kningadeild R\u00edkissp\u00edtalans og H\u00e1sk\u00f3lann \u00ed \u00d3sl\u00f3.<\/p>\n<p>Umsj\u00f3narkennari og lei\u00f0beinandi var Sveinn H\u00e1kon Har\u00f0arson, d\u00f3sent, lei\u00f0beinandi var J\u00f3n Atli Benediktsson, pr\u00f3fessor og rektor H\u00e1sk\u00f3la \u00cdslands, og me\u00f0lei\u00f0beinandi var Einar Stef\u00e1nsson, pr\u00f3fessor. Auk \u00feeirra s\u00e1tu \u00ed doktorsnefnd Lotta Mar\u00eda Ellingsen, d\u00f3sent,og Toke Bek, pr\u00f3fessor.<\/p>\n<p>\u00de\u00f3rarinn Gu\u00f0j\u00f3nsson, pr\u00f3fessor og deildarforseti L\u00e6knadeildar, stj\u00f3rnar ath\u00f6fninni sem fer fram \u00ed H\u00e1t\u00ed\u00f0asal H\u00e1sk\u00f3la \u00cdslands og hefst kl. 9.00.<\/p>\n<p><strong>\u00c1grip<\/strong><\/p>\n<p>Augnbotnamyndataka er notu\u00f0 til a\u00f0 greina og fylgjast me\u00f0 augnsj\u00fakd\u00f3mum svo sem \u00e6\u00f0alokunum, augnbotnahr\u00f6rnun \u00ed sykurs\u00fdki, gl\u00e1ku og aldurstengdri hr\u00f6rnun \u00ed augnbotnum.\u00a0S\u00farefnism\u00e6ling \u00ed augnbotnum, sem er tegund af augnbotnamyndat\u00f6ku, veitir n\u00fdja inns\u00fdn \u00ed meinger\u00f0 augans og g\u00e6ti gert kleift a\u00f0 greina margv\u00edslega sj\u00fakd\u00f3ma fyrr og n\u00e1kv\u00e6mar en er m\u00f6gulegt me\u00f0 n\u00faverandi kl\u00edn\u00edskri t\u00e6kni.\u00a0Handvirk greining augnbotnamynda er t\u00edmafrek og ni\u00f0urst\u00f6\u00f0urnar geta veri\u00f0 hugl\u00e6gar.\u00a0S\u00farefnism\u00e6ling \u00ed augnbotnum krefst mynda af n\u00e6gjanlegum g\u00e6\u00f0um ef ni\u00f0urst\u00f6\u00f0urnar eiga a\u00f0 vera \u00e1rei\u00f0anlegar.\u00a0\u00dear a\u00f0 auki byggir s\u00farefnism\u00e6ling \u00ed augnbotnum \u00e1 sta\u00f0setningu m\u00e6lipunkta og vali \u00e1 m\u00e6lisv\u00e6\u00f0i.\u00a0\u00de\u00f3 a\u00f0 s\u00e9rfr\u00e6\u00f0ingar geti meti\u00f0 myndg\u00e6\u00f0i og vali\u00f0 m\u00e6lisv\u00e6\u00f0i er \u00fe\u00f6rf \u00e1 \u00fej\u00e1lfun og verulegur munur \u00e1 milli s\u00e9rfr\u00e6\u00f0inga er til sta\u00f0ar sem g\u00e6ti leitt til \u00f3n\u00e1kv\u00e6mra ni\u00f0ursta\u00f0na.\u00a0N\u00fdlegar framfarir \u00ed myndvinnslu og v\u00e9lan\u00e1mi gera m\u00f6gulega \u00fer\u00f3un \u00e1 sj\u00e1lfvirkum hugb\u00fana\u00f0i til a\u00f0 gera s\u00farefnism\u00e6lingar n\u00e1kv\u00e6mari og flj\u00f3tlegri.\u00a0Ni\u00f0urst\u00f6\u00f0ur okkar benda til \u00feess a\u00f0 sj\u00e1lfvirki hugb\u00fana\u00f0urinn s\u00e9 betri \u00ed a\u00f0 meta myndf\u00f3kus e\u00f0a bl\u00e6brig\u00f0i en s\u00e9rfr\u00e6\u00f0ingar.\u00a0\u00deegar kemur a\u00f0 sta\u00f0setningu og flokkun \u00e6\u00f0a \u00ed augnbotnum eru s\u00e9rfr\u00e6\u00f0ingar enn betri \u00ed a\u00f0 greina milli slag\u00e6\u00f0linga og bl\u00e1\u00e6\u00f0linga eftir a\u00f0 \u00e6\u00f0akerfi\u00f0 hefur veri\u00f0 sta\u00f0sett.\u00a0Sj\u00e1lfvirka a\u00f0fer\u00f0in er betri \u00ed a\u00f0 sta\u00f0setja \u00e6\u00f0akerfi\u00f0 og greina milli slag\u00e6\u00f0linga og bl\u00e1\u00e6\u00f0linga \u00ed einu heildarverkefni.\u00a0Sta\u00f0setning og flokkun \u00e6\u00f0a \u00ed augnbotnum er lei\u00f0inlegt og t\u00edmafrekt verkefni sem er \u00f3m\u00f6gulegt a\u00f0 framkv\u00e6ma handvirkt \u00ed nokkrum m\u00e6li.\u00a0Sj\u00e1lfvirk sta\u00f0setning og flokkun slag\u00e6\u00f0linga\/bl\u00e1\u00e6\u00f0linga b\u00e6tti endurtekningu s\u00farefnism\u00e6linga \u00ed augnbotnum m\u00e6linga mi\u00f0a\u00f0 vi\u00f0 handvirkt val og flokkun \u00e6\u00f0ahluta.\u00a0Sj\u00e1lfvirkni myndgreiningar \u00e1 l\u00e6knisfr\u00e6\u00f0ilegum g\u00f6gnum getur hj\u00e1lpa\u00f0 s\u00e9rfr\u00e6\u00f0ingum a\u00f0 f\u00e1 endurtakanlegar ni\u00f0urst\u00f6\u00f0ur, vinna meira magn af g\u00f6gnum me\u00f0 f\u00e6rri villum\u00a0\u00a0og framkv\u00e6ma ranns\u00f3knir sem annars v\u00e6ru \u00f3h\u00f3flega t\u00edmafrekar.<\/p>\n<p><strong>Abstract<\/strong><\/p>\n<p>Fundus photography is used to diagnose and monitor eye diseases such as vascular occlusions, diabetic retinopathy, glaucoma, and age-related macular degeneration. Retinal oximetry, a form of fundus imaging, provides new insights into the physiology and pathophysiology of the eye and could enable earlier and more accurate diagnosis of many diseases compared to what is possible with current clinical technology. Analysis of fundus images by humans is often time-consuming and the results are subjective. Retinal oximetry relies on images of sufficient quality if the results are to be reliable. Furthermore, retinal oximetry relies on the placement of measurement points and the selection of measurement areas. While human experts can evaluate image quality and select measurement areas, training is required and significant inter-operator differences are present, which could lead to inaccurate results. Recent advances in image processing and machine learning enable the development of automated software to make oximetry measurements more accurate and less time-consuming. Our results indicate that automated software is better at evaluating image focus or contrast than human experts. On the task of segmenting and classifying retinal vessels, human experts are still better at differentiating between arterioles and venules after the vasculature has been segmented. The automated method is better at the combined task of segmenting the vasculature and differentiating between arterioles and venules. Segmenting the retinal vasculature is a tedious, time-consuming task that is infeasible to perform manually. Automated vessel segmentation and arteriole\/venule classification improved the repeatability of retinal oximetry measurements compared with manually selecting and classifying vessel segments. Automation of medical image analysis can assist human experts in achieving more repeatable results, allow more data to be processed with fewer mistakes, and perform research that would otherwise be prohibitively time-consuming.<\/p>\n<p><strong>Um doktorsefni\u00f0<\/strong><\/p>\n<p>R\u00f3bert Arnar Karlsson er f\u00e6ddur \u00e1ri\u00f0 1977 \u00e1 Akranesi. Hann lauk BS-pr\u00f3fi \u00ed rafmagns- og t\u00f6lvuverkfr\u00e6\u00f0i fr\u00e1 H\u00e1sk\u00f3la \u00cdslands \u00e1ri\u00f0 2001 og MS-gr\u00e1\u00f0u \u00e1ri\u00f0 2004. R\u00f3bert h\u00f3f doktorsn\u00e1m \u00ed l\u00edf- og l\u00e6knav\u00edsindum vi\u00f0 H\u00e1sk\u00f3la \u00cdslands \u00e1ri\u00f0 2017. Fr\u00e1 2021 hefur hann starfa\u00f0 hj\u00e1 l\u00e6kningat\u00e6kjaframlei\u00f0andanum Intuitive \u00ed Sviss \u00fear sem hann vinnur vi\u00f0 ranns\u00f3knir og \u00fer\u00f3un \u00e1 myndvinnslua\u00f0fer\u00f0um. Samb\u00fdliskona R\u00f3berts er Agn\u00e8s Davy og eiga \u00feau d\u00e6turnar \u00cdrisi Emmu , H\u00e9l\u00e8ne \u00d6sp og Emblu Diane.<\/p>\n<\/div><\/div>","protected":false},"featured_media":5646,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_phd_date_start":"2023-11-24T09:00:00+00:00","_phd_date_end":"2023-11-24T12:00:00+00:00","_phd_location":"A\u00f0albygging H\u00e1t\u00ed\u00f0asalur","_phd_admission":"A\u00f0gangur \u00f3keypis","_phd_thesis_title":"\u00der\u00f3un sj\u00e1lfvirkra a\u00f0fer\u00f0a \u00ed s\u00farefnism\u00e6lingum \u00ed augnbotnum. 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