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Resource:Internet Brain Segmentation Repository

Name: Resource:Internet Brain Segmentation Repository
Description:

The IBSR is a World Wide Web resource providing access to magnetic resonance brain image data and segmentation results contributed and utilized by researchers from all over the world. Its purpose is to encourage the development and evaluation of segmentation methods by providing raw test and image data, human expert segmentation results, and methods for comparing segmentation results.

The field of medical image processing is growing rapidly. Many novel approaches to the segmentation, classification and shape analysis are being developed and reported. This poses a problem in the identification and selection of an optimal methodology once a specific analysis task has been identified. It has become virtually impossible for even a well equipped image processing laboratory to implement all of the methods that are published.

An alternative to local implementation of each method is the establishment of a local repository for image data and the results of any analysis. In this way, new analysis algorithms can be tested on common images, and the results directly compared between various methods and the human expert interpretation of the images. General data description: This repository is meant to contain standard test image data sets which will permit a standardized mechanism for evaluation of the sensitivity of a given analysis method to signal to noise ratio, contrast to noise ratio, shape complexity, degree of partial volume effect, etc.

This capability is felt to be essential to further development in the field since many published algorithms tend to only operate successfully under a narrow range of conditions which may not extend to those experienced under the typical clinical imaging setting. This repository is also meant to describe and discuss methods for the comparison of results. Species: Human
Other Name(s): IBSR
Parent Organization: Harvard Medical School; Massachusetts; USA
Resource Type(s): database, atlas
Keywords: 3d models, anatomy, brainstem, cerebellum, cortex, gray matter, imaging, morphology, MRI, segmentation, volume, white matter
Resource: Resource
URL: http://www.cma.mgh.harvard.edu/ibsr/
Id: nif-0000-00032
Link to OWL / RDF: Download this content as OWL/RDF

Curation status: Uncurated

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Notes

This page uses this default form:Resource

Contributors

Aarnaud, Ccdbuser, Nifbot2



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Facts about Resource:Internet Brain Segmentation RepositoryRDF feed
CurationStatuscurated  +
DefiningCitationhttp://www.cma.mgh.harvard.edu/ibsr/  +
Definition

The IBSR is a World Wide Web resou
The IBSR is a World Wide Web resource providing access to magnetic resonance brain image data and segmentation results contributed and utilized by researchers from all over the world. Its purpose is to encourage the development and evaluation of segmentation methods by providing raw test and image data, human expert segmentation results, and methods for comparing segmentation results.

The field of medical image processing is growing rapidly. Many novel approaches to the segmentation, classification and shape analysis are being developed and reported. This poses a problem in the identification and selection of an optimal methodology once a specific analysis task has been identified. It has become virtually impossible for even a well equipped image processing laboratory to implement all of the methods that are published.

An alternative to local implementation of each method is the establishment of a local repository for image data and the results of any analysis. In this way, new analysis algorithms can be tested on common images, and the results directly compared between various methods and the human expert interpretation of the images. General data description: This repository is meant to contain standard test image data sets which will permit a standardized mechanism for evaluation of the sensitivity of a given analysis method to signal to noise ratio, contrast to noise ratio, shape complexity, degree of partial volume effect, etc.

This capability is felt to be essential to further development in the field since many published algorithms tend to only operate successfully under a narrow range of conditions which may not extend to those experienced under the typical clinical imaging setting. This repository is also meant to describe and discuss methods for the comparison of results. Species: Human
omparison of results. Species: Human
Has default formThis property is a special property in this wiki.Resource  +
Has roleDatabase  +, and Atlas  +
Idnif-0000-00032  +
Is part ofHarvard Medical School; Massachusetts; USA  +
Keywords3d models  +, Anatomy  +, Brainstem  +, Cerebellum  +, Cortex  +, Gray matter  +, Imaging  +, Morphology  +, MRI  +, Segmentation  +, Volume  +, and White matter  +
LabelResource:Internet Brain Segmentation Repository  +
ModifiedDate9 June 2011  +
Page has default formThis property is a special property in this wiki.Resource  +
SuperCategoryResource  +
SynonymIBSR  +