Biosciences Graduate Program

Michael D. Abramoff, MD, PhD

Portrait

Professor of Ophthalmology and Visual Sciences
Professor of Electrical & Computer Engineering, Biomedical Engineering

Contact Information

Primary Office: 11205  PFP
Iowa City, IA 52242
Primary Office Phone: 319-384-5833

Email: michael-abramoff@uiowa.edu
Web: More About Dr. Abramoff - RELATED WEB SITES & RESOURCES
Web: NARCIS Netherlands Academic Research Network
Web: Researcher ID

Education

MS, Medicine, University of Amsterdam
MS, Biomedical Informatics, University of Amsterdam
MD, Medicine, University of Amsterdam
PhD, Biomedical Imaging, University of Utrecht

Post Doctoral, Research Fellowship, RIKEN Neural Networks Research Laboratory, Wako-shi, Saitama Prefecture, Japan
Residency, Surgery, University Hospital of Maastricht, Netherlands
Residency, Ophthalmology, University Hospital of Utrecht
Fellowship, Medical Retina, Vrije Universiteit University Hospital, Amsterdam
Clinical Epidemiology Postgraduate Degree, Vrije Universiteit, Amsterdam, Netherlands
Fellowship, Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics

Licensure and Certifications

State of Iowa Medical License, Iowa Board of Medicine
Netherlands Ophthalmology Certification, Netherlands Ophthalmologic Society (Netherlands Board of Ophthalmology)
USMLE I and II, ECFMG certification
Medical License, Netherlands

Education/Training Program Affiliations

Biosciences Graduate Program
Interdisciplinary Graduate Program in Translational Biomedicine
Medical Scientist Training Program

Research Summary

The long range goal of Dr. Abramoff's research is to make computer aided diagnosis and digital retinal imaging for the screening, diagnosis and measurement of diabetic retinopathy, age related macular degeneration and glaucoma, patient friendly, low-cost and effective. These diseases are the big three causes of blindness in the US and most of the developing world, and screening and timely treatment is known to be effective or even cost-effective. Dr. Abramoff and his students and coworkers are developing novel methods for computer aided diagnosis and image analysis, retinal imaging at ultra wide field and ultra high resolution, image guided laser therapy of the retina. His research combines clinical ophthalmology, visual neuroscience and bioinformatics to study the phenotypes and genotypes of these diseases. Dr. Abramoff and coworkers have established large retinal imaging networks in the Midwest of the US and the Netherlands, with wide spread networks of retinal cameras connected through the internet to the University of Iowa, for screening of diabetic retinopathy. The tens of thousands of patients that are being image this way form the 'laboratory' for their research. Previously they have shown that computer aided diagnosis of diabetic retinopathy and glaucoma compares to retinal experts in small studies of hundreds of patients. They have developed image analysis algorithms that simulate the visual processing by the human brain to improve existing image analysis techniques, using for example computer simulations of simple and complex cell phase shifted gabor wavelet receptive fields. They are now starting to test the image processing algorithms on larger groups of patients collected through the network. Because computer aided diagnosis allows quantification of a retinal phenotype, preliminary studies are being performed to study the association of quantitative phenotype and genotype (SNP analysis) in age related macular degeneration and other retinal diseases in collaboration with the Carver Family Center for Macular Degeneration at the UI. An essential part of Dr. Abramoff's research is thus formed by an effective large scale network of high quality retinal imaging. Dr. Abramoff and coworkers have recently developed a patient-friendly, low cost camera, supported by an R01 from the NIH to build the network even more rapidly.

Center, Program and Institute Affiliations

Carver Family Center for Macular Degeneration
Fraternal Order of Eagles Diabetes Research Center
Iowa Institute for Biomedical Imaging

Selected Publications

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Abràmoff M, Folk J, Han D, Walker J, Williams D, Russell S, Massin P, Cochener B, Gain P, Tang L, Lamard M, Moga D, Quellec G, Niemeijer M.  Automated analysis of retinal images for detection of referable diabetic retinopathy.  JAMA Ophthalmol.  2013 March 1. 131(3):351-7.
[PubMed]

Wahle A, Lee K, Harding A, Garvin M, Niemeijer M, Sonka M, Abràmoff M.  Extending the XNAT archive tool for image and analysis management in ophthalmology research.  Proc SPIE Med Imag.  2013 February 14. 8674:86740M.

Christopher M, Tang L, Fingert J, Scheetz T, Abràmoff M.  Changes in quantitative 3D shape features of the optic nerve head associated with age.  Proceedinsg SPIE Medical Imaging 2013: Computer-Aided Diagnosis .  2013 February 13. 8670:86700O.

Tang L, Niemeijer M, Reinhardy J, Garvin M, Abràmoff M.  Splat feature classification with application to retinal hemorrhage detection in fundus images.  IEEE Trans Med Imaging.  2013 February. 32(2):364-75.
[PubMed]

Joshi V, Garvin M, Reinhardt J, Abràmoff M.  Automated artery-venous classification of retinal blood vessels based on structural mapping method.  Proc SPIE Progr Biomed Optics Imaging.  2013. 8315:83151C.

Kafieh R, Rabbani H, Abràmoff M, Sonka M.  Curvature correction of retinal OCTs using graph-based geometry detection.  Phys Med Biol.  2013. 58(9):2925-2938.
[PubMed]

Springelkamp H, Lee K, Ramdas W, Vingerling J, Hofman A, Klaver C, Sonka M, Abràmoff M, Jansonius N.  Optimizing the information yield of 3-D OCT in glaucoma.  Invest Ophthalmol Vis Sci.  2012 December 13. 53(13):8162-71.
[Link]

Chen X, Zhang L, Sohn E, Lee K, Niemeijer M, Chen J, Sonka M, Abràmoff M.  Quantification of external limiting membrane disruption caused by diabetic macular edema from SD-OCT.  Invest Ophthalmol Vis Sci.  2012 December 7. 53(13):8042-8.
[Link]

Xu X, Reinhardt J, Hu Q, Bakall B, Tlucek P, Bertelsen G, Abràmoff M.  Retinal vessel width measurement at branchings using an improved electric field theory-based graph approach.  PLoS One.  2012 November 27. 7(11):e49668.
[Link]

Zhang L, Lee K, Niemeijer M, Mullins R, Sonka M, Abràmoff M.  Automated segmentation of the choroid from clinical SD-OCT.  Invest Ophthalmol Vis Sci.  2012 November 1. 53(12):7510-9.
[Link]

Date Last Modified: 06/07/2014 - 21:56:23