NDLI: Segmentation of LSCM Images based on Multi-channel Information Fusion

Content Provider	IEEE Xplore Digital Library
Author	Lei He Su Zhang Chan-Yan Xiao Ya-Zhu Chen
Copyright Year	2005
Description	Author affiliation: Biomed. Instrum. Inst., Shanghai Jiao Tong Univ. (Lei He; Su Zhang; Chan-Yan Xiao; Ya-Zhu Chen)
Abstract	The two channels of LSCM, the fluorescent light channel and the visible light channel, provide us with different modality images that contain special information respectively. In this paper we propose a new and integrated approach to segment images in the fluorescent light channel of LSCM, which have rather low SNR and can not provide sufficiently high intensity gradient at the boundary. Our approach, rather than relying on information of the velocity field alone, also includes statistical information of images in the visible light channel which provide subtle information of vessel structures. Information is described by corresponding image force. The approach is tested on LSCM images and experimental results show that it can segment low SNR vasculature structures automatically. Comparison is made between C-V model and the new approach, we find that the latter has better performance and can provide vasculature delineation with higher quality since information of both channels is utilized
Starting Page	3121
Ending Page	3124
File Size	302815
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1617136
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Level set Fluorescence Solid modeling Evolution (biology) Capacitance-voltage characteristics Optical imaging Biomedical optical imaging Optical microscopy Automatic testing C-V model LSCM Statistical Information Poster Probability Velocity Field Fluorescent Light Channel Visible Light Channel Information Fusion
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in