Curvature Based Biomarkers for Diabetic Retinopathy via Exponential Curve Fits in SE(2)

Bekkers, EJ Erik; Zhang, Jiong; Duits, Remco; Romeny, BM Bart ter Haar

doi:10.17077/omia.1034

Cited by 26 publications

(32 citation statements)

References 15 publications

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“…Right Orientation score model with orientation on the vertical axis, and cortical columns with horizontal contextual (association field) connections. From [66] local vessel curvature analysis [11], and enhancement methods [31,66] …”

Section: Multi-orientation Analysismentioning

confidence: 99%

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Brain-inspired algorithms for retinal image analysis

Romeny

Bekkers

Zhang

et al. 2016

Machine Vision and Applications

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Retinal image analysis is a challenging problem due to the precise quantification required and the huge numbers of images produced in screening programs. This paper describes a series of innovative brain-inspired algorithms for automated retinal image analysis, recently developed for the B Bart M. ter Haar Romeny B.M.terHaarRomeny@tue.nl 123 B. M. ter Haar Romeny et al.optic nerve head detection, crossing-preserving enhancement and segmentation of retinal vasculature, arterio-venous ratio, fractal dimension, and vessel tortuosity and bifurcations. Many of these algorithms outperform state-of-the-art techniques. The methods are currently validated in collaborating hospitals, with a rich accompanying base of metadata, to phenotype and validate the quantitative algorithms for optimal classification power.

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Section: Multi-orientation Analysismentioning

confidence: 99%

“…Most methods require pre-segmentation and center line extraction, but our brain-inspired orientation score method [11] works directly on the image data by fitting so-called exponential curves in the orientation score. An exponential curve is a curve whose spatial projection has a constant curvature (Fig.…”

Section: Curvature/tortuositymentioning

confidence: 99%

Brain-inspired algorithms for retinal image analysis

Romeny

Bekkers

Zhang

et al. 2016

Machine Vision and Applications

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“…By finding the vascular skeleton, splitting the skeleton at junction positions, fitting a curve to each segment and parameterization of these curves, the local curvatures of these segments are obtained. To avoid propagation of errors in each step of such pipelines, a new alternative local curvature extraction method was proposed in [3]. The method relies on the theory of exponential curve fits in orientation scores [7].…”

Section: Curvature Measurementmentioning

confidence: 99%

Infrastructure for Retinal Image Analysis

Dashtbozorg

Abbasi-Sureshjani

Zhang

et al. 2016

Proceedings of the Ophthalmic Medical Image Analysis Third International Workshop

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Abstract. This paper introduces a retinal image analysis infrastructure for the automatic assessment of biomarkers related to early signs of diabetes, hypertension and other systemic diseases. The developed application provides several tools, namely normalization, vessel enhancement and segmentation, optic disc and fovea detection, junction detection, bifurcation/crossing discrimination, artery/vein classification and red lesion detection. The pipeline of these methods allows the assessment of important biomarkers characterizing dynamic properties of retinal vessels, such as tortuosity, width, fractal dimension and bifurcation geometry features.

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“…Retinal vascular tortuosity is measured by a novel robust and fully automatic quantitative method developed by E. Bekkers et al [14]. This brain-inspired method is based on the theory of best-fit exponential curves in the roto-translation group SE (2) developed by Duits, Franken and Janssen [15]- [17], and, importantly, does not rely on explicit segmentation of the blood vessels.…”

Section: Measurement Of Retinal Vascular Tortuositymentioning

confidence: 99%

Retinal Vascular Tortuosity in Hospitalized Patients with Type 2 Diabetes and Diabetic Retinopathy in China

Zhu¹,

Triest²,

Tong³

et al. 2016

JBiSE

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Context: Diabetic patients are at high risk for microvascular complications of disease such as diabetic retinopathy (DR) and diabetic neuropathy. Imaging the retinal microvasculature offers a chance to measure quantitatively the microvascular changes in diabetic patients' onset and progression. However, the relation between retinal biomarkers and diabetic risk factors is unclear in Chinese hospitalized type 2 diabetic patients. Aims: To examine the associations of retinal vascular tortuosity with risk factors of type 2 diabetes and diabetic retinopathy in Chinese hospitalized patients. Patients and Methods: Our cross-sectional study includes 504 participants with type 2 diabetes hospitalized in the department of endocrinology in Shengjing hospital, Shenyang, China. Patients' socio-demographic, clinical and biological information was retrieved from their ID card, the interview, and the local hospital information system. Retinal photographs were taken by laser-scanning ophthalmoscopy of both eyes and checked if gradable for analysis. The weighted mean and standard deviation of tortuosity were calculated from the retinal photographs using a novel robust and fully automatic quantitative method. DR was assessed from the retinal photographs by the ophthalmologist according to the modified Airlie House classification into No DR and Any DR in our current study. Data were analyzed by SPSS Version 22 with Student's t test, Mann-Whitney U test, Chi-square test, and linear regression. Results:For the total participants (504) in this study, the weighted mean and standard deviation (SD) of tortuosity was 12.05 × 10 −3 (SD: 1.66 × 10 −3 ) and 24.31 × 10 −3 (SD: 3.69 × 10 −3 ), respectively. 386 (76.6%) patients were diagnosed with DR who had older age, long duration of diabetes, higher brachial ankle pulse wave velocity (baPWV), higher systolic blood pressure (SBP), higher diastolic blood pressure (DBP), and higher reHow to cite this paper: Zhu, S., van Triest, M., Tong, M., Lamers, T., Han, P., Qian, W. 144tinal vascular tortuosity values. In univariable linear regression analyses, older age, longer duration, higher baPWV, higher urine microalbuminuria, higher urine albumin/creatinine ratio, diagnosed with high blood pressure, thrombosis or Any DR, were significantly associated with both higher tortuosity measures (all P values < 0.05). In multivariable-adjusted linear regression analyses, age and diabetes duration (all P values < 0.05) were independently and positively associated with both tortuosity measures, after adjustment for low-density lipoprotein (LDL), high-density lipoprotein (HDL) and high blood pressure. Furthermore, after adding some kidney failure factors, the urine albumin/creatinine ratio was also an independent risk factor of vascular tortuosity. These associations remained even after including or excluding the factor of DR. Conclusions: Retinal vascular tortuosity is independently associated with older age, longer duration, and higher urine albumin/creatinine ratio in Chinese hospitalized type 2 di...

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Curvature Based Biomarkers for Diabetic Retinopathy via Exponential Curve Fits in SE(2)

Cited by 26 publications

References 15 publications

Brain-inspired algorithms for retinal image analysis

Brain-inspired algorithms for retinal image analysis

Infrastructure for Retinal Image Analysis

Retinal Vascular Tortuosity in Hospitalized Patients with Type 2 Diabetes and Diabetic Retinopathy in China

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