BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Warsaw BEGIN:DAYLIGHT DTSTART:20170326T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20161030T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20170126T195222Z UID:F35F9493-E5B6-11E7-833E-0050568D7F66 DTSTART;TZID=Europe/Warsaw:20161205T120000 DTEND;TZID=Europe/Warsaw:20161205T130000 DESCRIPTION:Retinal pathologies that are detected too late and/or left untr eated can seriously damage eyesight. It is important to monitor the retina and react to any pathological changes. A fast\, accurate\, non-invasive\, and even three-dimensional retina examination is the optical coherence to mography (OCT). We present an approach for modelling changes in retina str ucture during the progression of vitreomacular traction (VMT) pathology. P resented experiments were performed on volumetric data\nacquired from adul t patients with the use of Avanti RTvue device. Advanced digital image pro cessing algorithms were subsequently applied to each OCT cross-section (B- scan) for image denoising and flattening\, as well as retina layers segmen tation. The developed models of VMT stages show a high potential of the pr oposed method to support ophthalmologists in making appropriate clinical d ecisions.\n\nPoznan\, Wielkopolskie\, Poland LOCATION:Poznan\, Wielkopolskie\, Poland ORGANIZER:adam.dabrowski@put.poznan.pl SEQUENCE:0 SUMMARY:[Legacy Report] Automatic Modeling and Classification of Vitreomacu lar Traction Pathology Stages URL;VALUE=URI:https://events.vtools.ieee.org/m/143654 X-ALT-DESC:Description: <br /><p>Retinal pathologies that are detected too late and/or left untreated&nbsp\; can&nbsp\; seriously damage eyesight. It is important&nbsp\; to monitor the retina&nbsp\; and&nbsp\; react&nbsp\; to&nbsp\; any&nbsp\; pathological&nbsp\; changes.&nbsp\; A&nbsp\; fast\,&n bsp\; accurate\,&nbsp\; non-invasive\,&nbsp\; and&nbsp\; even&nbsp\; three -dimensional&nbsp\; retina&nbsp\; examination&nbsp\; is&nbsp\; the&nbsp\; optical coherence tomography (OCT). We&nbsp\; present&nbsp\; an&nbsp\; app roach&nbsp\; for&nbsp\; modelling&nbsp\; changes&nbsp\; in&nbsp\; retina s tructure&nbsp\; during&nbsp\; the&nbsp\; progression&nbsp\; of&nbsp\; vitr eomacular&nbsp\; traction&nbsp\; (VMT) pathology.&nbsp\; Presented&nbsp\; experiments&nbsp\; were&nbsp\; performed&nbsp\; on&nbsp\; volumetric&nbsp\ ; data<br />acquired&nbsp\; from&nbsp\; adult&nbsp\; patients&nbsp\; with& nbsp\; the&nbsp\; use&nbsp\; of&nbsp\; Avanti&nbsp\; RTvue&nbsp\; device. Advanced digital image processing algorithms were subsequently applied to each OCT cross-section (B-scan) for image denoising and flattening\, as we ll&nbsp\; as&nbsp\; retina&nbsp\; layers&nbsp\; segmentation.&nbsp\; The d eveloped models of VMT&nbsp\; stages&nbsp\; show&nbsp\; a&nbsp\; high&nbsp \; potential&nbsp\; of&nbsp\; the&nbsp\; proposed&nbsp\; method&nbsp\; to& nbsp\; support ophthalmologists in making appropriate clinical decisions.< /p> END:VEVENT END:VCALENDAR