NDLI: Fully-automatic tool for morphometric analysis of myelinated fibers

Content Provider	IEEE Xplore Digital Library
Author	Bourget Novas, R. Sassoni Fazan, V.P. Cezar Felipe, J.
Copyright Year	2013
Description	Author affiliation: Dept. of Surg. & Anatomy, Univ. of Sao Paulo, Sao Paulo, Brazil (Sassoni Fazan, V.P.) \|\| Dept. of Comput. & Math., Sci. & Languages of Ribeirao Preto, Ribeirao, Brazil (Bourget Novas, R.; Cezar Felipe, J.)
Abstract	The morphometric analysis of myelinated fibers is known to produce relevant information for the evaluation of several phenomena, which range from nerve demyelization/remyelization to the aging process. This analysis can be achieved manually or using computer-based image analysis systems which vary to a certain degree of automation. However, systems which are manual or semi-automated are extremely laborious, highly tedious and time-consuming. Therefore, the aim of this paper is the proposal, implementation and evaluation of a computational tool capable of automatically performing the morphometry of myelinated fibers. We have implemented and tested various methods for the segmentation of images from different types of nerve, which present differences in form, color and size. Then, we implemented an algorithm capable of extracting the required morphometric features. The developed tool has shown maximum area overlap accuracy of 83.1% and sensitivity of 90.7% for our database. The tool has widespread potential in experimental and clinical applications eliminating many of the tedious and time-consuming tasks associated with nerve morphometry.
Starting Page	161
Ending Page	166
File Size	834122
Page Count	6
File Format	PDF
ISBN	9781479910533
DOI	10.1109/CBMS.2013.6627782
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-20
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Pipelines Image color analysis Optical fiber theory Manuals Feature extraction Nerve fibers
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