NDLI: Automatic design of an effective image filter based on an evolutionary algorithm for venous analysis

Content Provider	Springer Nature Link
Author	Iwase, Masashi Kashihara, Koji
Copyright Year	2015
Abstract	Medical doctors and clinical technologists operate specific, complicated diagnostic systems to assess venous diseases. Instead of using such expensive equipment, low-cost infrared cameras can capture vein images noninvasively and simply. However, the recorded image has a possibility to result in low contrast and a low signal-to-noise (S/N) ratio. An effective image filtering method to estimate venous changes will solve this problem and enable the early detection of disease. For this study, a novel filtering method based on the genetic algorithm (GA) with the expectation–maximization algorithm was proposed for the visualization of vein shapes; its effectiveness was evaluated by images acquired from a near-infrared (780 nm) camera. The novel filter was able to be automatically designed by the GA to improve the worse S/N ratio of vein images, with an unknown correct answer image. If the proposed filtering method is incorporated into e-healthcare applications, it could be widely distributed through smartphones or tablets and facilitate finding abnormal veins at an early stage.
Starting Page	1
Ending Page	14
Page Count	14
File Format	PDF
ISSN	21926662
Journal	Network Modeling Analysis in Health Informatics and Bioinformatics
Volume Number	5
Issue Number	1
e-ISSN	21926670
Language	English
Publisher	Springer Vienna
Publisher Date	2015-12-07
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Computational Biology/Bioinformatics Filters Infrared image sensors Health Informatics Expectation–maximization algorithms Bioinformatics Gaussian mixture model Genetic algorithms Applications of Graph Theory and Complex Networks
Content Type	Text
Resource Type	Article
Subject	Urology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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