Edge Enhancement for Retinal Vasculature Caliber Evaluation in Prediction of Cardiovascular Disease
At the moment, the gold standard in detection of coronary disease is coronary angiography. Recent studies show that retinal arteriolar and venular caliber change is associated with many cardiovascular risk factors. Thus, investigating blood column diameters inside retinal vessels during cardiac cycle (ECG gating) could help cardiologists in the prediction of cardiovascular disease. In this paper, we demonstrated an improved image preprocessing step for computer aided diagnosis algorithms that could be useful in measuring the width of the blood column. The algorithm consists of three main steps. First, higher resolution images at 21 megapixels were captured along with an inbuilt 570nm red-free filter to maximize the blood signal. Second, the image was decomposed using a Gabor filter at four different directions (0, 45, 90 and 135 degree) and maximum responses were obtained over the four directions. Finally, the size of vessels is calculated by performing the sliding linear regression filter (SLRF) on vessels slices. The results suggest the use of edge enhancement with SLRF decrease the variability by 2-3 times and might lead to more deterministic vessel widths with less variation.
Computer Aided Diagnosis(CAD) retinal vascular caliber image enhancement edge detection Gabor wavelet algorithm
Joubin Nasehi Tehrani Chenyu Wang Craig Jin Alistair Lee McEwan Oliver Gibbs Elham Shanehsaz MichaelAnthony(Tony) Barry Aravinda Thaigalingam
School of Electrical and Information Engineering The University of Sydney, NSW, Australia, 2006 The Department of Cardiology, Westmead Hospital, Sydney NSW Australia, 2145 The Department ofCardiology,WestmeadHospital,SydneyNSWAustralia,2145 The Department of Cardiology, WestmeadHospital,SydneyNSWAustralia,2145 The Department of Cardiology, Westmead Hospital, SydneyNSWAustralia,2145
国际会议
上海
英文
207-210
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）