Title :
Extraction of flow information in choriocapillaris in human eyes from ICG dye angiography images
Author :
Zhu, L. ; Huang, F. ; von Kerczek, C.H. ; Topoleski, L.D.T. ; Flower, R.W.
Author_Institution :
Dept. of Mech. Eng., Maryland Univ., Baltimore, MD, USA
Abstract :
Indocyanine green (ICG) dye angiography has been used by ophthalmologists as a useful tool for routine examination of the vasculature of the choroid in human eyes. ICG dye angiography is performed by venous injecting of ICG dye, which is delivered to different vascular structures in the eyes at different times. A multispectral fundus camera is-used to take the dye intensity images of the eye at a speed of thirty images per second. In this study, a new approach is developed to extract useful velocity distribution in the choriocapillaris and its feeding blood vessels from the ICG dye angiography. The ICG dye intensity rise and decay curves are constructed from the ICG dye images at each location in the choroid. It is shown that the magnitude of the local velocity in the choroid is proportional to the transient of the ICG dye intensity curve. The approach allows the determination of the absolute value of the velocity in the choroid which is calibrated by the image data at two axial locations of a straight blood vessel of uniform cross-section area. The velocity image of the entire choriocapillaris and its feeding vessels can then be constructed. This approach could be used in clinical applications for diagnostic purposes since it provides detailed quantified flow information in human eyes
Keywords :
bio-optics; blood flow measurement; blood vessels; eye; image colour analysis; medical image processing; blood velocity distribution; choriocapillaris; choroid vasculature; color brightness; dye intensity images; feeding blood vessels; flow information; high gray-level value; human eyes; indocyanine green dye angiography; multispectral fundus camera; ophthalmology; point-to-point velocity distribution; velocity distribution; venous injection; Angiography; Biomedical imaging; Blood flow; Blood vessels; Cameras; Data mining; Eyes; Humans; Retina; Visualization;
Conference_Titel :
Bioengineering Conference, 2002. Proceedings of the IEEE 28th Annual Northeast
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-7419-3
DOI :
10.1109/NEBC.2002.999436