Junior-supervisors within the doctoral studies at the MUV
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1 Junior-supervisors within the doctoral studies at the MUV Name of supervisor (LAST NAME, first name): Dr. Gerendas, Bianca, MSc Organizational unit and subunit: Department of Ophthalmology Studies (N090, N094, N790): N094 Thematic Program: Medical Imaging Designated senior-supervisor: Prof. Dr. Ursula Schmidt-Erfurth Funding source for students to be supervised: 1. CD Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA) 2. FA746A0249 WWTF-Fonds Aug Uni Wien : Computational harmonic analysis of high-dimensional biomedical data Third-party funding (select a max. of 5 starting with the most recent) Period Organization (eg. FWF) Short title /year Christian Doppler Society Christian Doppler Laboratory for Ophthalmic ~ Image Analysis (OPTIMA) WWTF WWTF Aug Uni Wien ~ Local, national and international co-operations (select a max. of 5 starting with the most recent) Name (Last-, Firstname) Title of project Prünte, Christian Prevalence of different stages of diabetic retinopathy and diabetic macular edema among type 1 diabetic patients Ehler, Martin Computational harmonic analysis of high-dimensional biomedical data Hülsmann, Martin PONTIAC II Study Sonka, Milan Christian Doppler Laboratory of Ophthalmic Image Analysis Langs, Georg Christian Doppler Laboratory of Ophthalmic Image Analysis Section XXV 1/5
2 Former diploma students (select a max. of 5 starting with the most recent) Name (Last-, Firstname) Title of the diploma thesis Hecht, Alexander Choroidal changes in OCT in uveitis Personally supervised employees associated (e.g. physicians-in-training; select max. of 5 starting with the most recent) Name (LAST NAME, first name) Art der Supervision Seeböck, Philipp Clinical supervision for medical physics PhD Vogl, Wolf-Dieter Clinical supervision for medical physics PhD Wu, Jing Shahrian, Ehsan Montuoro, Alessio Publications with trained and personally supervised individuals as listed above as firstauthors (reference all authors and provide the exact citation; the name of the applicant in bold letters; corresponding author underlined; e.g.: O'Connor V, El Far O, Bofill-Cardona E, Nanoff C, Freissmuth M, Karschin A, Airas JM, Betz H, Boehm S. Science Nov 5;286(5442): ) Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices Wu J, Gerendas BS, Waldstein SM, Simader C, Schmidt-Erfurth U Proc. SPIE 9034, Medical Imaging 2014: Image Processing, ; doi: / Stable registration of pathological 3D SD-OCT scans using retinal vessels Wu J, Gerendas BS, Waldstein SM, Langs G, Simader C, and Schmidt-Erfurth U: In: Chen X, Garvin MK, Liu JJ editors. Proceedings of the Ophthalmic Medical Image Analysis First International Workshop, OMIA 2014, Held in Conjunction with MICCAI 2014, Boston, Massachusetts, September 14, Iowa Research Online; 2014, p. 1-8 Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry Montuoro A, Wu J, Waldstein SM, Gerendas B, Langs G, Simader C, Schmidt-Erfurth U Medical Image Computing and Computer-Assisted Intervention MICCAI 2014, Spatio-temporal signatures to predict retinal disease recurrence Vogl W-D, Waldstein SM, Gerendas BS, Wu J, Montuoro A, Simader C, Glodan A-M, Schmidt-Erfurth U, Langs G. Proceedings of PMI 2015 (accepted) Section XXV 2/5
3 Headline and description of the planned project: Identification of relevant imaging biomarkers for retinal changes and therapy response in patients with diabetic macular edema Diabetic macular edema is one of the leading causes of visual impairment in the working-age population in developed countries. Anti-VEGF has been identified in the past years to be an effective drug for the treatment of DME but treatment strategies are heterogenous and no treatment scheme could be identified to be effective for every patient and every pathomorphological appearance. The next step in the era of anti-vegf DME treatment now must therefore be the individualization of treatment for every patient with respect to individual morphological changes in the retina. Optical coherence tomography is the major imaging modality used for evaluation of retinal diseases like diabetic macular edema. The novel OCT generations are able to provide 3D raster images of high resolution. This produces a level of detailed pathomorphological insight close to histopathology. Central retinal thickness had been the major criterion for retinal image evaluation in large clinical trials up to today. Scientists to date agree that a detailed and reproducible analysis of the microstructural parameters detectable with SD-OCT will provide the necessary realistic guidance for flexible patient monitoring and anti-vegf treatment. But clinical trials to date have not included SD-OCT technology into their treatment paradigms; moreover, morphologic features were not classified, nor were the specific alterations quantified and correlated with their functional impact. OPTIMA Ophthalmic Image Analysis aims at substantially advancing image analysis and computational modelling in retinal disease, based on clinical data at unprecedented scale. In our current analysis dataset we have established automatic methods on data from neovascular age-related macular degeneration and retinal vein occlusion. A large dataset on diabetic macular edema, including spectral-domain optical coherence tomography, will be available for a PhD student to complement our data and to extend our analyses on this very important disease. An individualized treatment guideline from imaging data for anti-vegf treatment could be established even for particular agents for individual subgroups by the PhD student. Image based morphologic evaluation in anti-vegf therapy of diabetic macular edema comprising 1. Automatic microstructural feature segmentation 2. Co-registration of multimodal 3D and 2D image data for point-to-point morphologic analyses 3. Population-wide disease models with monitoring of pathomorphological changes over time for identification of subpopulations in disease morphology and treatment response 4. Evaluation for prediction of visual acuity and anatomic outcomes 5. Development of individualized DME anti-vegf treatment guidelines with innovative PRNmanagement strategies Section XXV 3/5
4 Curriculum Vitae Name Dr. Bianca Gerendas, MSc Personal Data Date of Birth: Place of Birth: Hanover, Germany Nationality German Education PhD Medical Physics MSc Healthcare Management, University of Heidelberg MD (Promotion Dr. med. ), University of Heidelberg Medical School, University of Heidelberg Kaiser-Wilhelm- u. Ratsgymnasium Northfield Mount Hermon School, Northfield, MA, USA Grundschule Am Sandberge, Orientierungsstufe Lüerstraße, Kaiser-Wilhelm- und Ratsgymnasium Career History Since 2013 Coordination of WWTF AUG Project Since 2013 Laboratory coordinaton, Christian Doppler Laboratory for Ophthalmic Image Analysis Since 2011 Resident, Department of Ophthalmology, Medical University of Vienna Since 2010 Supervisor, Research & Development, Vienna Reading Center Research Assistant ALL-BFM Study, MH Hanover List of publications: 1. Vogl W-D, Waldstein SM, Gerendas BS, Wu J, Montuoro A, Simader C, Glodan A-M, Schmidt-Erfurth U, Langs G. Spatio-temporal signatures to predict retinal disease recurrence. Proceedings of PMI 2015 (accepted) 2. Waldstein SM, Faatz H, Szimacsek M, Glodan AM, Podkowinski D, Montuoro A, Simader C, Gerendas BS, Schmidt-Erfurth U. Comparison of penetration depth in choroidal imaging using swept source vs spectral domain optical coherence tomography. Eye (Lond) Jan 16. doi: /eye [Epub ahead of print] PubMed PMID: Waldstein SM*, Gerendas BS*, Montuoro A, Simader C, Schmidt-Erfurth U. Quantitative comparison of macular segmentation performance using identical Section XXV 4/5
5 retinal regions across multiple spectral-domain optical coherence tomography instruments. Br J Ophthalmol Jan 6. pii: bjophthalmol doi: /bjophthalmol [Epub ahead of print] PubMed PMID: *corresponding equally 4. Gerendas BS, Waldstein SM, Simader C, Deak G, Hajnajeeb B, Zhang L, Bogunovic H, Abramoff MD, Kundi M, Sonka M, Schmidt-Erfurth U. Three-dimensional automated choroidal volume assessment on standard spectral-domain optical coherence tomography and correlation with the level of diabetic macular edema. Am J Ophthalmol Nov;158(5): Wu J, Gerendas BS, Waldstein SM, Langs G, Simader C, and Schmidt-Erfurth U. Stable registration of pathological 3D SD-OCT scans using retinal vessels. In: Chen X, Garvin MK, Liu JJ editors. Proceedings of the Ophthalmic Medical Image Analysis First International Workshop, OMIA 2014, Held in Conjunction with MICCAI 2014, Boston, Massachusetts, September 14, Iowa Research Online; 2014, p Montuoro A, Wu J, Waldstein S, Gerendas B, Langs G, Simader C, Schmidt-Erfurth U. Motion artefact correction in retinal optical coherence tomography using local symmetry. Med Image Comput Comput Assist Interv. 2014;17(Pt 2): PubMed PMID: Wu J, Gerendas BS, Waldstein SM, Simader C, Schmidt-Erfurth U. Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices. Proc. SPIE 9034, Medical Imaging 2014: Image Processing, ; doi: / Lammer J, Bolz M, Baumann B, Pircher M, Götzinger E, Gerendas B, Roberts P, Hitzenberger CK, Schmidt-Erfurth U, Diabetic Retinopathy Research Group (DRRG) Vienna. Detection and Analysis of Hard Exudates by Polarization Sensitive Optical Coherence Tomography in Patients with Diabetic Maculopathy. Invest Ophthalmol Vis Sci Mar 13;55(3): doi: /iovs Munk M, Kiss C., Ekmekcioglu, Huf, Sulzbacher F, Gerendas B, Simader C, Schmidt- Erfurth U. Influence of orthostasis and daytime on retinal thickness in uveitis-associated cystoid macular edema. Curr Eye Res Apr;39(4): doi: / Epub 2013 Nov Baumann I, Gerendas B, Plinkert PK, Praetorius M. General and disease-specific quality of life in patients with chronic suppurative otitis media a monocentric prospective study Health Qual Life Outcomes Jun 29;9: Baumann I, Kurpiers B, Plinkert PK, Praetorius M. Development and validation of the Chronic Otitis Media Outcome Test 15 (COMOT-15). Measurement of health-related quality of life in patients with chronic otitis media HNO Sep;57(9): Section XXV 5/5
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