Retinopathy of Prematurity: Fractal Analysis of Images in Different Stages of the Disease

Retinopathy of prematurity is a potentially blinding proliferative disease of the retinal vasculature that affects premature infants with low birth weights. This paper explores the possibility of applying fractal analysis to images of blood vessels in the human retinae with three types of retinopathy. Although the fractal analysis suggests that the retinal images with different grade of retinopathy are more complex than those without retinopathy, this technique cannot completely distinguish retinal vessels in a patient with inactive and active retinopathy. Furthermore, the fractal dimension of retinal images in children with diagnosed aggressive retinopathy is higher than the fractal dimensions of the same images after laser surgery. Our results lead to the conclusion that the blood vessels in the retinae with aggressive retinopathy are more complex, irregular in shape and have a higher degree of vessel aberration than those vessels with ‘typical’ retinopathy.

[1]  G. Landini Quantitative analysis of the epithelial lining architecture in radicular cysts and odontogenic keratocysts , 2006, Head & face medicine.

[2]  Roberto Marcondes Cesar Junior,et al.  Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification , 2005, IEEE Transactions on Medical Imaging.

[3]  A. Guyton,et al.  Textbook of Medical Physiology , 1961 .

[4]  H F Jelinek,et al.  Use of fractal theory in neuroscience: methods, advantages, and potential problems. , 2001, Methods.

[5]  David Cornforth,et al.  Fractop: a tool for automated biological image clas sification , 2002 .

[6]  M. Khokha,et al.  Fractal Geometry in Biological Systems: An Analytical Approach , 1996 .

[7]  E. Keshet,et al.  Survival mechanisms of VEGF and PlGF during microvascular remodeling. , 2002, Cold Spring Harbor symposia on quantitative biology.

[8]  Herbert F Jelinek,et al.  Neurons and fractals: how reliable and useful are calculations of fractal dimensions? , 1998, Journal of Neuroscience Methods.

[9]  B. Masters,et al.  Fractal analysis of the vascular tree in the human retina. , 2004, Annual review of biomedical engineering.

[10]  B. Masters,et al.  Fractal pattern formation in human retinal vessels , 1989 .

[11]  Barry R. Masters,et al.  Fractal analysis of human retinal vessels , 1990, Other Conferences.

[12]  A. Daxer,et al.  Fractals and retinal vessels , 1992, The Lancet.

[13]  Ying Sun,et al.  Back-propagation network and its configuration for blood vessel detection in angiograms , 1995, IEEE Trans. Neural Networks.

[14]  A. Patz,et al.  The new international classification of retinopathy of prematurity. , 1984, Archives of ophthalmology.

[15]  A. Fielder,et al.  Preliminary results of treatment of eyes with high-risk prethreshold retinopathy of prematurity in the early treatment for retinopathy of prematurity randomized trial. , 2003, Archives of ophthalmology.

[16]  G Landini,et al.  Fractal analysis of the normal human retinal fluorescein angiogram. , 1993, Current eye research.

[17]  Dušan Ristanović,et al.  Morphology and classification of large neurons in the adult human dentate nucleus: A qualitative and quantitative analysis of 2D images , 2010, Neuroscience Research.

[18]  R. Boniello,et al.  Fanconi anemia manifesting as a squamous cell carcinoma of the hard palate: a case report , 2006, Head & face medicine.

[19]  H. Jelinek,et al.  The Morphology of Alpha Ganglion Cells in Mammalian Species: a Fractal Analysis Study , 2010 .

[20]  Andrew Hunter,et al.  Measurement of retinal vessel widths from fundus images based on 2-D modeling , 2004, IEEE Transactions on Medical Imaging.

[21]  Xiaohong W. Gao,et al.  Quantification and characterisation of arteries in retinal images , 2000, Comput. Methods Programs Biomed..

[22]  S. Nishina,et al.  Early vitreous surgery for aggressive posterior retinopathy of prematurity. , 2006, American journal of ophthalmology.

[23]  Anna L. Ells,et al.  The International Classification of Retinopathy of Prematurity revisited. , 2005, Archives of ophthalmology.

[24]  Roberto Marcondes Cesar Junior,et al.  Retinal Vessel Segmentation Using the 2-D Morlet Wavelet and Supervised Classification , 2005, ArXiv.

[25]  Multicenter trial of Cryotherapy for Retinopathy of Prematurity: Ophthalmological outcomes at 10 years , 2001 .

[26]  Herbert F Jelinek,et al.  Automated detection of proliferative retinopathy in clinical practice , 2008, Clinical ophthalmology.

[27]  Herbert F. Jelinek,et al.  Segmentation of retinal fundus vasculature in nonmydriatic camera images using wavelets: Advanced Segmentation Techniques , 2003 .

[28]  Max A. Viergever,et al.  Ridge-based vessel segmentation in color images of the retina , 2004, IEEE Transactions on Medical Imaging.

[29]  J. B. Stankovic,et al.  FRACTAL ANALYSIS OF DENDRITIC ARBORISATION PATTERNS OF STALKED AND ISLET NEURONS IN SUBSTANTIA GELATINOSA OF DIFFERENT SPECIES , 2007 .

[30]  E. Keshet Preventing pathological regression of blood vessels. , 2003, The Journal of clinical investigation.

[31]  W. B. Marks,et al.  Fractal methods and results in cellular morphology — dimensions, lacunarity and multifractals , 1996, Journal of Neuroscience Methods.