NDLI: Reconstruction and quantification of neuronal morphology

Content Provider	IEEE Xplore Digital Library
Author	Meijering, E.
Copyright Year	2012
Description	Author affiliation: Biomedical Imaging Group Rotterdam, Erasmus University Medical Center Rotterdam, Departments of Medical Informatics and Radiology, P. O. Box 2040, 3000 CA Rotterdam, The Netherlands (Meijering, E.)
Abstract	The human brain with all its faculties and intricacies has fascinated many generations of researchers [1] and will likely be the final frontier of science. Understanding the principles underlying the brain's higher-order cognitive functions is indeed a major challenge and will profoundly impact our views on what defines a human being. On a more down-to-earth level, knowledge of the structure, function, and development of neuronal cells and networks is of crucial importance in investigating potential causes of neurological and psychiatric disorders and developing effective drugs and therapies for treating them. Research in this area is increasingly relying on imaging and gives rise to large amounts of image data. The need for advanced bioimage informatics [2] and neuroinformatics [3] solutions for analyzing these data is therefore rising rapidly. One of the key challenges here is the development of computational methods and tools for the study of neuronal anatomy [4]. Studying the morphological properties of neuronal arborizations first requires converting the usually large and sparse image data into a more parsimonious representation that captures the essential image information and is easier to archive, exchange, analyze, and compare. In the past decades, quite a number of methods have been developed for this purpose [5, 6, 7], but the quest for more robust, fully automatic, and generally applicable tools continues. The goal of this presentation is to survey the state of the art in the field for anyone interested in taking up the challenge. Relevant aspects addressed in the presentation include common image segmentation approaches for neuronal reconstruction, quantitative measures of neuronal morphology, currently available software tools, and morphology databases.
Starting Page	1787
Ending Page	1787
File Size	40968
Page Count	1
File Format	PDF
ISBN	9781457718571
ISSN	19457928
e-ISBN	9781457718588
DOI	10.1109/ISBI.2012.6235928
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-02
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Morphology Biomedical imaging Informatics Humans Image segmentation neuroinformatics Neuronal reconstruction image segmentation quantitative morphology
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

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