Paper Info
Title
Hardware acceleration of retinal blood vasculature segmentation
Abstract
Retinal vessel tree extraction is a complex and computationally intensive task used in several medical and biometric applications. The emergence of portable biometric authentication applications, as well as on-site biomedical diagnostics, raises the need for hardware-accelerated, power-efficient architectures that can satisfy the performance and accuracy requirements of retinal vessel tree extraction. As such, this paper presents a VLSI implementation of a retina vessel segmentation system, in an attempt to illustrate the advantages and performance benefits that result from a dedicated VLSI solution. The proposed design implements an unsupervised, vessel segmentation algorithm, which utilizes match filtering with signed integers to enhance the difference between the blood vessels and the rest of the retina. The design simplifies the process of obtaining a binary map of the vessel tree by using parallel processing and efficient resource sharing, thus offering real-time performance. FPGA-based simulation results indicate significant performance improvements (up to 90x) when compared to existing hardware and software implementations.
Year
DOI
Venue
2013
10.1145/2483028.2483073
ACM Great Lakes Symposium on VLSI
Keywords
Field
DocType
retina vessel segmentation system,retinal blood vasculature segmentation,performance benefit,hardware acceleration,biometric application,significant performance improvement,vessel segmentation algorithm,vessel tree,vlsi implementation,real-time performance,blood vessel,retinal vessel tree extraction
Computer science,Segmentation,Field-programmable gate array,Filter (signal processing),Hardware acceleration,Biometrics,Shared resource,Computer hardware,Very-large-scale integration,Binary number
Conference
Citations 
PageRank 
References 
2
0.38
13
Authors
3
Name
Order
Citations
PageRank
Dimitris Koukounis180.81
Christos Tttofis220.38
Theocharis Theocharides320526.83