TY - GEN
T1 - A robust and reliable quantification method for Focal Arteriolar Narrowing in color retinal image
AU - Roy, Pallab Kanti
AU - Hussain, Akter
AU - Bhuiyan, Alauddin
AU - Kawasaki, Ryo
AU - Ramamohanarao, Kotagiri
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/21
Y1 - 2015/7/21
N2 - In this paper a reliable and robust method is presented for the quantification of Focal Arteriolar Narrowing (FAN), a precursor for hypertension, stroke and other cardiovascular diseases. Our contribution in this paper is that we have proposed a novel edge based retinal blood vessel segmentation technique which is very effective in low contrast retinal images. In addition to that we developed a robust and reliable measurement technique to quantify Focal Arteriolar Narrowing. For initial results and quantitative evaluation of the proposed method, we evaluate our proposed method on a dataset of 53 manually graded vessel segments. The experimental results indicate a strong correlation between the computed Focal Arteriolar Narrowing (FAN) values and the expert grading (Spearman coefficient of 0.76, P < 0.0001). In addition, the results also show that the system can detect healthy and FAN affected cases with an accuracy of 93%. This has demonstrated the reliability of the proposed method for automatic focal narrowing assessment. The quantitative measurements provided by the system may help to establish a more reliable link between Focal Arteriolar Narrowing (FAN) and known systemic and eye diseases, which will be investigated further.
AB - In this paper a reliable and robust method is presented for the quantification of Focal Arteriolar Narrowing (FAN), a precursor for hypertension, stroke and other cardiovascular diseases. Our contribution in this paper is that we have proposed a novel edge based retinal blood vessel segmentation technique which is very effective in low contrast retinal images. In addition to that we developed a robust and reliable measurement technique to quantify Focal Arteriolar Narrowing. For initial results and quantitative evaluation of the proposed method, we evaluate our proposed method on a dataset of 53 manually graded vessel segments. The experimental results indicate a strong correlation between the computed Focal Arteriolar Narrowing (FAN) values and the expert grading (Spearman coefficient of 0.76, P < 0.0001). In addition, the results also show that the system can detect healthy and FAN affected cases with an accuracy of 93%. This has demonstrated the reliability of the proposed method for automatic focal narrowing assessment. The quantitative measurements provided by the system may help to establish a more reliable link between Focal Arteriolar Narrowing (FAN) and known systemic and eye diseases, which will be investigated further.
KW - Retinal image
KW - focal arteriolar narrowing assessment
KW - vascular network
KW - vessel width measurement
UR - http://www.scopus.com/inward/record.url?scp=84944325936&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2015.7164164
DO - 10.1109/ISBI.2015.7164164
M3 - Conference contribution
AN - SCOPUS:84944325936
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1510
EP - 1513
BT - 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PB - IEEE Computer Society
T2 - 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Y2 - 16 April 2015 through 19 April 2015
ER -