From NeuroLex
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. |
| 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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| CurationStatus | curated + |
| DefiningCitation | http://www.cma.mgh.harvard.edu/ibsr/ + |
| Definition | The IBSR is a World Wide Web resou … 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. omparison of results. Species: Human |
| Has default formThis property is a special property in this wiki. | Resource + |
| Has role | Database +, and Atlas + |
| Id | nif-0000-00032 + |
| Is part of | Harvard Medical School; Massachusetts; USA + |
| Keywords | 3d models +, Anatomy +, Brainstem +, Cerebellum +, Cortex +, Gray matter +, Imaging +, Morphology +, MRI +, Segmentation +, Volume +, and White matter + |
| Label | Resource:Internet Brain Segmentation Repository + |
| ModifiedDate | 9 June 2011 + |
| Page has default formThis property is a special property in this wiki. | Resource + |
| SuperCategory | Resource + |
| Synonym | IBSR + |



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