Michael D Abramoff

Summary

Affiliation: University of Iowa
Country: USA

Publications

  1. ncbi Automated analysis of retinal images for detection of referable diabetic retinopathy
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, 11205 PFP, University of Iowa Hospital and Clinics, 200 Hawkins Dr, Iowa City, IA 52242, USA
    JAMA Ophthalmol 131:351-7. 2013
  2. ncbi Web-based screening for diabetic retinopathy in a primary care population: the EyeCheck project
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospital and Clinics, and Department of Veterans Affairs Medical Center, Iowa City, Iowa, USA
    Telemed J E Health 11:668-74. 2005
  3. ncbi Automated detection of diabetic retinopathy: barriers to translation into clinical practice
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa, 11290C PFP UIHC, 200 Hawkins Drive, Iowa City, IA 52242, USA
    Expert Rev Med Devices 7:287-96. 2010
  4. ncbi Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve head
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242, USA
    Invest Ophthalmol Vis Sci 50:5778-84. 2009
  5. ncbi Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes
    Michael D Abramoff
    Retina Service, Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
    Diabetes Care 31:193-8. 2008
  6. ncbi The automatic detection of the optic disc location in retinal images using optic disc location regression
    Michael D Abramoff
    Dept of Ophthalmology and Visual Sci, Iowa Univ, Iowa City 52242, USA
    Conf Proc IEEE Eng Med Biol Soc 1:4432-5. 2006
  7. ncbi Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, Iowa City, IA 52242, USA
    Invest Ophthalmol Vis Sci 48:1665-73. 2007
  8. ncbi Intraretinal layer segmentation of macular optical coherence tomography images using optimal 3-D graph search
    Mona K Garvin
    Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Med Imaging 27:1495-505. 2008
  9. ncbi Three-dimensional analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula
    Gwenole Quellec
    Department of Ophthalmology and Visual Sciences and the Department of Biomedical Engineering, The University of Iowa, Iowa City, IA 52240, USA
    IEEE Trans Med Imaging 29:1321-30. 2010
  10. ncbi Validation of tablet-based evaluation of color fundus images
    Mark Christopher
    Department of Biomedical Engineering, College of Public Health, University of Iowa, Iowa City, Iowa 52242, USA
    Retina 32:1629-35. 2012

Research Grants

  1. Low-cost, portable, computer assisted imaging for diabe*
    Michael Abramoff; Fiscal Year: 2007

Detail Information

Publications48

  1. ncbi Automated analysis of retinal images for detection of referable diabetic retinopathy
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, 11205 PFP, University of Iowa Hospital and Clinics, 200 Hawkins Dr, Iowa City, IA 52242, USA
    JAMA Ophthalmol 131:351-7. 2013
    ....
  2. ncbi Web-based screening for diabetic retinopathy in a primary care population: the EyeCheck project
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospital and Clinics, and Department of Veterans Affairs Medical Center, Iowa City, Iowa, USA
    Telemed J E Health 11:668-74. 2005
    ....
  3. ncbi Automated detection of diabetic retinopathy: barriers to translation into clinical practice
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa, 11290C PFP UIHC, 200 Hawkins Drive, Iowa City, IA 52242, USA
    Expert Rev Med Devices 7:287-96. 2010
    ....
  4. ncbi Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve head
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242, USA
    Invest Ophthalmol Vis Sci 50:5778-84. 2009
    ....
  5. ncbi Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes
    Michael D Abramoff
    Retina Service, Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
    Diabetes Care 31:193-8. 2008
    ..To evaluate the performance of a system for automated detection of diabetic retinopathy in digital retinal photographs, built from published algorithms, in a large, representative, screening population...
  6. ncbi The automatic detection of the optic disc location in retinal images using optic disc location regression
    Michael D Abramoff
    Dept of Ophthalmology and Visual Sci, Iowa Univ, Iowa City 52242, USA
    Conf Proc IEEE Eng Med Biol Soc 1:4432-5. 2006
    ..The regression output is blurred to handle noise. The point which is closest to the middle of the optic disc is chosen. The method was tested on 1000 screening images and was able to find the correct position in 99.9% of all cases...
  7. ncbi Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, Iowa City, IA 52242, USA
    Invest Ophthalmol Vis Sci 48:1665-73. 2007
    ..To evaluate a novel automated segmentation algorithm for cup-to-disc segmentation from stereo color photographs of patients with glaucoma for the measurement of glaucoma progression...
  8. ncbi Intraretinal layer segmentation of macular optical coherence tomography images using optimal 3-D graph search
    Mona K Garvin
    Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Med Imaging 27:1495-505. 2008
    ..1 microm (21%) smaller on average than for the unaffected eye (p < 0.001), supporting the need for segmenting the layers separately...
  9. ncbi Three-dimensional analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula
    Gwenole Quellec
    Department of Ophthalmology and Visual Sciences and the Department of Biomedical Engineering, The University of Iowa, Iowa City, IA 52240, USA
    IEEE Trans Med Imaging 29:1321-30. 2010
    ..This work demonstrates that useful 3-D textural information can be extracted from SD-OCT scans and--together with an anatomical atlas of normal retinas--can be used for clinically important applications...
  10. ncbi Validation of tablet-based evaluation of color fundus images
    Mark Christopher
    Department of Biomedical Engineering, College of Public Health, University of Iowa, Iowa City, Iowa 52242, USA
    Retina 32:1629-35. 2012
    ..To compare diabetic retinopathy (DR) referral recommendations made by viewing fundus images using a tablet computer with those made using a standard desktop display...
  11. ncbi Automated early detection of diabetic retinopathy
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242, USA
    Ophthalmology 117:1147-54. 2010
    ....
  12. ncbi Automated measurement of the arteriolar-to-venular width ratio in digital color fundus photographs
    Meindert Niemeijer
    University of Iowa Hospitals and Clinics, Iowa City, USA
    IEEE Trans Med Imaging 30:1941-50. 2011
    ..06 (SD 0.05) on the set of images with a mean AVR of 0.66. The testing data and reference standard used in this study has been made publicly available...
  13. ncbi Teaching and assessing competency in retinal lasers in ophthalmology residency
    Michael D Abramoff
    Department of Ophthalmology, University of Iowa Hospital and Clinics, Iowa City, Iowa, USA
    Ophthalmic Surg Lasers Imaging 39:270-80. 2008
    ..To the authors' knowledge, there is no standardized and widely used curriculum for teaching and assessing resident competencies in retinal lasers...
  14. ncbi Quantification of external limiting membrane disruption caused by diabetic macular edema from SD-OCT
    Xinjian Chen
    Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA
    Invest Ophthalmol Vis Sci 53:8042-8. 2012
    ..However, no automated methods to detect ELM and/or determine its integrity from SD-OCT exist...
  15. ncbi Distribution of damage to the entire retinal ganglion cell pathway: quantified using spectral-domain optical coherence tomography analysis in patients with glaucoma
    Kyungmoo Lee
    Departments of Electrical and Computer Engineering, University of Iowa, IA, USA
    Arch Ophthalmol 130:1118-26. 2012
    ..Our findings should contribute to better detection and improved management of glaucoma...
  16. ncbi Fast detection of the optic disc and fovea in color fundus photographs
    Meindert Niemeijer
    Department of Ophthalmology, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, Iowa City, IA 52242, USA
    Med Image Anal 13:859-70. 2009
    ..The method found the optic disc in 99.4% and the fovea in 96.8% of regular screening images and for the images with abnormalities these numbers were 93.0% and 89.0% respectively...
  17. ncbi Segmentation of the optic disc in 3-D OCT scans of the optic nerve head
    Kyungmoo Lee
    Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Med Imaging 29:159-68. 2010
    ..076+/-0.031 mm for the optic disc cup and 2.14+/-0.80 pixels (0.064+/-0.024 mm for the neuroretinal rim. The unsigned error of the best performing method was not significantly different (p > 0.2) from the interobserver variability...
  18. ncbi Automated segmentation of neural canal opening and optic cup in 3D spectral optical coherence tomography volumes of the optic nerve head
    Zhihong Hu
    Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242, USA
    Invest Ophthalmol Vis Sci 51:5708-17. 2010
    ..To investigate the correspondence and discrepancy between the NCO-based metrics and the clinical disc margin on fundus photographs of glaucoma subjects...
  19. ncbi Variance owing to observer, repeat imaging, and fundus camera type on cup-to-disc ratio estimates by stereo planimetry
    Young H Kwon
    Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA
    J Glaucoma 18:305-10. 2009
    ..To determine and compare variance components in linear cup-to-disc ratio (LCDR) estimates by computer-assisted planimetry by human experts, and automated machine algorithm (digital automated planimetry)...
  20. ncbi Computational quantification of complex fundus phenotypes in age-related macular degeneration and Stargardt disease
    Gwenole Quellec
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
    Invest Ophthalmol Vis Sci 52:2976-81. 2011
    ....
  21. ncbi Intraoperative choroidal detachment during 23-gauge vitrectomy
    Ryan M Tarantola
    Vitreoretinal Service, Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, USA
    Retina 31:893-901. 2011
    ..To review intraoperative choroidal detachments during 23-gauge vitrectomy and examine possible mechanism(s) involved...
  22. ncbi Vessel boundary delineation on fundus images using graph-based approach
    Xiayu Xu
    Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Med Imaging 30:1184-91. 2011
    ..The algorithm is robust and estimates the vessel width with subpixel accuracy. The method is used to explore the relationship between the average vessel width and the distance from the optic disc in 600 subjects...
  23. ncbi Automated detection of malarial retinopathy-associated retinal hemorrhages
    Vinayak S Joshi
    Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA
    Invest Ophthalmol Vis Sci 53:6582-8. 2012
    ..To develop an automated method for the detection of retinal hemorrhages on color fundus images to characterize malarial retinopathy, which may help in the assessment of patients with cerebral malaria...
  24. ncbi Information fusion for diabetic retinopathy CAD in digital color fundus photographs
    Meindert Niemeijer
    Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242 USA
    IEEE Trans Med Imaging 28:775-85. 2009
    ..The best performing fusion method obtained an area under the receiver operator characteristic curve of 0.881. This indicates that automated prescreening could be applied in diabetic retinopathy screening programs...
  25. ncbi Intravitreal bevacizumab for treatment of proliferative and nonproliferative type 2 idiopathic macular telangiectasia
    A Brock Roller
    Vitreoretinal Service, Department of Ophthalmology and Visual Sciences, The University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242, USA
    Retina 31:1848-55. 2011
    ..To determine the effect of treatment with intravitreal bevacizumab on retinal thickness and visual acuity in the nonproliferative and proliferative forms of Type 2 idiopathic macular telangiectasia...
  26. ncbi Robust multiscale stereo matching from fundus images with radiometric differences
    Li Tang
    Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Pattern Anal Mach Intell 33:2245-58. 2011
    ....
  27. ncbi Automated quantification of inherited phenotypes from color images: a twin study of the variability of optic nerve head shape
    Li Tang
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242, USA
    Invest Ophthalmol Vis Sci 51:5870-7. 2010
    ....
  28. ncbi Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs
    Meindert Niemeijer
    Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Med Imaging 29:185-95. 2010
    ..The data associated with the ROC microaneurysm detection competition will remain publicly available and the website will continue accepting submissions...
  29. ncbi Multimodal retinal vessel segmentation from spectral-domain optical coherence tomography and fundus photography
    Zhihong Hu
    Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Med Imaging 31:1900-11. 2012
    ..78 and 0.83, p < 0.05). The multimodal approach overall performs significantly better than the other three approaches (p < 0.05)...
  30. ncbi Retinal imaging and image analysis
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA 52242, USA
    IEEE Rev Biomed Eng 3:169-208. 2010
    ..Throughout the paper, aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships...
  31. ncbi Optimal filter framework for automated, instantaneous detection of lesions in retinal images
    Gwenole Quellec
    Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Med Imaging 30:523-33. 2011
    ..We are studying whether the optimal filter framework also generalizes to the detection of any structure in other domains...
  32. ncbi Objective and expert-independent validation of retinal image registration algorithms by a projective imaging distortion model
    Sangyeol Lee
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospital and Clinics, United States
    Med Image Anal 14:539-49. 2010
    ..We demonstrate the technique by generating test image sets with a variety of overlap conditions and compare the accuracy of several retinal image registration models...
  33. ncbi Use of varying constraints in optimal 3-D graph search for segmentation of macular optical coherence tomography images
    Mona Haeker
    Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, USA
    Med Image Comput Comput Assist Interv 10:244-51. 2007
    ..3 +/- 3.7 microm using varying constraints compared to 8.3 +/- 4.9 microm using constant constraints and 8.2 +/- 3.5 microm for the inter-observer variability)...
  34. ncbi Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: probability constrained graph-search-graph-cut
    Xinjian Chen
    Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Med Imaging 31:1521-31. 2012
    ..01, p < 0.04) and has the potential to improve clinical management of patients with choroidal neovascularization due to exudative age-related macular degeneration...
  35. ncbi Automated discovery and quantification of image-based complex phenotypes: a twin study of drusen phenotypes in age-related macular degeneration
    Gwenole Quellec
    Institute for Vision Research, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, Iowa City, IA 52242, USA
    Invest Ophthalmol Vis Sci 52:9195-206. 2011
    ..The hypothesis for this study was that image analysis has the potential to enable formalized discovery of new visible phenotypes. It was tested in twins affected with age-related macular degeneration (AMD)...
  36. ncbi Automated segmentation of the choroid from clinical SD-OCT
    Li Zhang
    Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA
    Invest Ophthalmol Vis Sci 53:7510-9. 2012
    ....
  37. ncbi Quantitative evaluation of papilledema from stereoscopic color fundus photographs
    Li Tang
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242, USA
    Invest Ophthalmol Vis Sci 53:4490-7. 2012
    ..To derive a computerized measurement of optic disc volume from digital stereoscopic fundus photographs for the purpose of diagnosing and managing papilledema...
  38. ncbi 2-D pattern of nerve fiber bundles in glaucoma emerging from spectral-domain optical coherence tomography
    Mona K Garvin
    Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, Iowa, USA
    Invest Ophthalmol Vis Sci 53:483-9. 2012
    ..To correlate the thicknesses of focal regions of the macular ganglion cell layer with those of the peripapillary nerve fiber layer using spectral-domain optical coherence tomography (SD-OCT) in glaucoma subjects...
  39. ncbi Sutureless triplanar sclerotomy for 23-gauge vitrectomy
    Vinit B Mahajan
    Vitreoretinal Service, Department of Ophthalmology, University of Iowa Carver College of Medicine, 200 Hawkins Dr, Iowa City, IA 52242, USA
    Arch Ophthalmol 129:585-90. 2011
    ..To describe and test the intraoperative integrity of triplanar sclerotomies...
  40. ncbi Effects of vitrectomy on age-related macular degeneration
    A Brock Roller
    Vitreoretinal Service, Department of Ophthalmology and Visual Sciences, The University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242, USA
    Ophthalmology 117:1381-6. 2010
    ..To determine whether vitrectomy alters the long-term progression of age-related macular degeneration (AMD)...
  41. ncbi Bilateral intravitreal injection of antivascular endothelial growth factor therapy
    Vinit B Mahajan
    Department of Ophthalmology and Visual Sciences, The University of Iowa Hospitals and Clinics, Iowa City, IA, USA
    Retina 31:31-5. 2011
    ..The purpose of this study was to review adverse events and patient preference after bilateral intravitreal injection of antibodies to vascular endothelial growth factor...
  42. ncbi Splat feature classification with application to retinal hemorrhage detection in fundus images
    Li Tang
    Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA 52242, USA
    IEEE Trans Med Imaging 32:364-75. 2013
    ..96 is achieved at the splat level and 0.87 at the image level. While we are focused on retinal hemorrhage detection, our approach has potential to be applied to other object detection tasks...
  43. ncbi Three-dimensional distribution of the vitelliform lesion, photoreceptors, and retinal pigment epithelium in the macula of patients with best vitelliform macular dystrophy
    Christine N Kay
    Department of Ophthalmology and Visual Sciences, University of Iowa Institute for Vision Research, University of Iowa, Iowa City, IA 52242, USA
    Arch Ophthalmol 130:357-64. 2012
    ..To describe the anatomical phenotypes of Best vitelliform macular dystrophy (BVMD) with spectral-domain optical coherence tomography (SD-OCT) in a large series of patients with confirmed mutations in the BEST1 gene...
  44. ncbi Validation of retinal image registration algorithms by a projective imaging distortion model
    Sangyeol Lee
    Department of Biomedical Engineering, The University of Iowa, Iowa City 52242, USA
    Conf Proc IEEE Eng Med Biol Soc 2007:6472-5. 2007
    ..The quantitative comparison for different registration methods is given in the experiment, so the registration performance is evaluated in an objective manner...
  45. ncbi Retinal vessel width measurement at branchings using an improved electric field theory-based graph approach
    Xiayu Xu
    Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA
    PLoS ONE 7:e49668. 2012
    ..The algorithm was validated on 100 artery branchings and 100 vein branchings selected from 50 fundus images by comparing with vessel width measurements from two human experts...
  46. ncbi Visual stimulus-induced changes in human near-infrared fundus reflectance
    Michael D Abramoff
    Department of Ophthalmology and Visual Sciences, University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242, USA
    Invest Ophthalmol Vis Sci 47:715-21. 2006
    ..In the present study, the spatial and temporal properties of similar changes were characterized in normal, awake humans...
  47. ncbi Re-engineering the resident applicant selection process in ophthalmology: a literature review and recommendations for improvement
    Andrew G Lee
    Department of Ophthalmology, University of Iowa Hospital and Clinics, Iowa City, Iowa 52242, USA
    Surv Ophthalmol 53:164-76. 2008
    ..Ophthalmology should strive to develop applicant selection tools that might be useful for predicting residency performance and that would align with the ACGME competency mandate for tools to predict future performance as a physician...
  48. ncbi Retinal arterial but not venous tortuosity correlates with facioscapulohumeral muscular dystrophy severity
    Susannah Q Longmuir
    Department of Ophthalmology, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
    J AAPOS 14:240-3. 2010
    ..Exudative retinal detachment, retinal vessel irregularities on fluorescein angiography, and retinal vessel tortuosity have been found in association with FSHD...

Research Grants4

  1. Low-cost, portable, computer assisted imaging for diabe*
    Michael Abramoff; Fiscal Year: 2007
    ..Our overall aim is to validate and optimize a low-cost, high quality, patient friendly imaging system for the early diagnosis of diabetic retinopathy. ..