Massachusetts General Hospital, Center for Morphometric Analysis
Internet Brain Segmentation Repository
Introduction
The IBSR is supported by the NIH under Grant
number 1 R01 NS34189-01 from the National Institute of Neurological Disorders
and Stroke (NINDS). This grant
funds research in MR brain segmentation by researchers at Boston University,
Draper Laboratory, Northeastern University, Massachusetts Institute of Technology,
and Massachusetts General Hospital / Harvard Medical School.
Definition
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.
Purpose
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.
Justification
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.
Thanks to all those who have used and contributed to the IBSR!
The IBSR was initially created in April 1996 and is maintained by
Andrew
Worth at the CMA
.
Michael Farmer converted scan
788_6 into 8-bit TGA format and modified the program overlap.c to read 8-bit
TGA image files in a Windows 32-bit environment.
YOU are encouraged to contribute and participate in this resource. If
you would like, please see the list of things to do.
Full credit for anything you do will appear here.
Go to [IBSR Main Page]. Questions about this page should
be directed to Andy.