Literature DB >> 12066884

Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter.

Luo Gang1, Opas Chutatape, Shankar M Krishnan.   

Abstract

In this paper, the fitness of estimating vessel profiles with Gaussian function is evaluated and an amplitude-modified second-order Gaussian filter is proposed for the detection and measurement of vessels. Mathematical analysis is given and supported by a simulation and experiments to demonstrate that the vessel width can be measured in linear relationship with the "spreading factor" of the matched filter when the magnitude coefficient of the filter is suitably assigned. The absolute value of vessel diameter can be determined simply by using a precalibrated line, which is typically required since images are always system dependent. The experiment shows that the inclusion of the width measurement in the detection process can improve the performance of matched filter and result in a significant increase in success rate of detection.

Mesh:

Year:  2002        PMID: 12066884     DOI: 10.1109/10.979356

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  28 in total

Review 1.  Retinal vascular image analysis as a potential screening tool for cerebrovascular disease: a rationale based on homology between cerebral and retinal microvasculatures.

Authors:  Niall Patton; Tariq Aslam; Thomas Macgillivray; Alison Pattie; Ian J Deary; Baljean Dhillon
Journal:  J Anat       Date:  2005-04       Impact factor: 2.610

2.  Retinal vessel segmentation on SLO image.

Authors:  Juan Xu; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

3.  Recent Advancements in Retinal Vessel Segmentation.

Authors:  Chetan L Srinidhi; P Aparna; Jeny Rajan
Journal:  J Med Syst       Date:  2017-03-11       Impact factor: 4.460

4.  Application of morphological bit planes in retinal blood vessel extraction.

Authors:  M M Fraz; A Basit; S A Barman
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

5.  A multiscale decomposition approach to detect abnormal vasculature in the optic disc.

Authors:  Carla Agurto; Honggang Yu; Victor Murray; Marios S Pattichis; Sheila Nemeth; Simon Barriga; Peter Soliz
Journal:  Comput Med Imaging Graph       Date:  2015-01-20       Impact factor: 4.790

6.  Vessel boundary delineation on fundus images using graph-based approach.

Authors:  Xiayu Xu; Meindert Niemeijer; Qi Song; Milan Sonka; Mona K Garvin; Joseph M Reinhardt; Michael D Abràmoff
Journal:  IEEE Trans Med Imaging       Date:  2011-01-06       Impact factor: 10.048

7.  Analysis of Fundus Fluorescein Angiogram Based on the Hessian Matrix of Directional Curvelet Sub-bands and Distance Regularized Level Set Evolution.

Authors:  Asieh Soltanipour; Saeed Sadri; Hossein Rabbani; Mohammad Reza Akhlaghi
Journal:  J Med Signals Sens       Date:  2015 Jul-Sep

Review 8.  Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification.

Authors:  Muhammad Moazam Fraz; Alicja R Rudnicka; Christopher G Owen; Sarah A Barman
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-12-24       Impact factor: 2.924

9.  Automatic labeling of portal and hepatic veins from MR images prior to liver transplantation.

Authors:  Evgin Goceri
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-06-23       Impact factor: 2.924

10.  Combining deep learning with anatomical analysis for segmentation of the portal vein for liver SBRT planning.

Authors:  Bulat Ibragimov; Diego Toesca; Daniel Chang; Albert Koong; Lei Xing
Journal:  Phys Med Biol       Date:  2017-11-10       Impact factor: 3.609

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