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Virtual Colonoscopy Image Database
The NCI, in collaboration with Walter Reed Army Medical Center Virtual
Colonoscopy Center and National Library of Medicine, offers a Virtual
Colonoscopy image database complete with associated findings as a network
downloadable resource to benefit computer-aided
diagnosis CAD) researchers and developers. This database provides 52 complete cases (26 with polyps) consisting of
DICOM-compliant 3D CT data, several 2D images, the pathology reports, the
virtual colonoscopy reports, and the optical colonoscopy reports along with the
optical colonoscopy video. The database is available on the NCIA web site.
National Cancer Imaging Archive
The NCI, in collaboration with medical researchers in a number of imaging fields, is offering the
National Cancer Imaging Archive (NCIA) as an image repository to oster rapid dissemination of information to the scientific community and the public. You may browse, download, and use the data for non-commercial, scientific and educational purposes. However, you may encounter documents or portions of documents contributed by private institutions or organizations. Other parties may retain all rights to publish or produce these documents. Commercial use of the documents on this site may be protected under United States and foreign copyright laws. In addition, some of the data may be the subject of patent applications or issued patents, and you may need to seek a license for its commercial use. NCI does not warrant or assume any legal liability or responsibility for the accuracy, completeness or usefulness of any information in this archive.
National Digital Medical Archive
(NDMA)
i3 Archive is the commercial continuation of an effort started as the National Digital Mammography Archive
(NDMA) which was a collaborative effort between the University of Pennsylvania Medical Center (including the
National Scalable Cluster Project - NSCP, the University of
Chicago Department of Radiology, the University of North Carolina - Chapel Hill
School of Medicine, the Department of Radiology - Breast Imaging - Sunnybrook
and Women's College Health Sciences Centre of the University of Toronto, and
Advanced Computing Technologies Division of BWXT Y-12 L.L.C. in Oak Ridge
Tennessee. This was a
Next Generation Internet (NGI) Initiative project
sponsored by the National Library of Medicine. NDMA developed a test bed
to demonstrate the feasibility of a national breast imaging archive and network infrastructure [PDF File] to support digital mammography using Next Generation Internet (NGI) technologies.
Virtual
Cancer Image Data Warehouse
At the National Cancer Center (Tokyo, Japan), more than 100 virtual cancer
images from CT or MR data of individual patients with cancer (Cancer
Edutainment Virtual Reality Theater: CEVRT). These images can be used to help
explain procedures, findings, etc. to the patient, to obtain informed consent,
to simulate surgery, and to estimate cancer invasion to surrounding organs. A
web-based object-oriented database was created to access these cancer images
and to register medical images at international research sites via the
Internet. [from Abstract]
Mammographic Image
Analysis Society - Mammographic Database
The original MIAS Database (digitized at 50 micron pixel edge) has been reduced
to 200 micron pixel edge and clipped/padded so that every image is 1024 pixels
x 1024 pixels. There are 322 cases. Reference: J Suckling et al (1994) "The
Mammographic Image Analysis Society Digital Mammogram Database" Exerpta Medica.
International Congress Series 1069, pp 375-378.
USF Digital
Database for Screening Mammography (DDSM)
The Digital Database for Screening Mammography (DDSM) is a resource for use by
the mammographic image analysis research community. The primary purpose of the
database is to facilitate sound research in the development of computer
algorithms to aid in screening. Secondary purposes of the database may include
the development of algorithms to aid in the diagnosis and the development of
teaching or training aids. The database contains approximately 2,500 studies.
Each study includes two images of each breast, along with some associated
patient information (age at time of study, ACR breast density rating, subtlety
rating for abnormalities, ACR keyword description of abnormalities) and image
information (scanner, spatial resolution...). Images containing suspicious
areas have associated pixel-level "ground truth" information about the
locations and types of suspicious regions. Also provided is software both for
accessing the mammogram and truth images and for calculating performance
figures for automated image analysis algorithms.
UCSF Neuroimaging
Data Warehouse
An image data warehouse infrastructure containing a broad array of biomedical
imaging and clinical data is built on top of a picture archiving and
communication system (PACS) environment and applies an iterative
object-oriented analysis and design (OOAD) approach and recognized data
interface and design standards. The implementation is based on a Java CORBA
(Common Object Request Broker Architecture) and Web-based architecture that
separates the graphical user interface presentation, data warehouse business
services, data staging area, and backend source systems into distinct software
layers. [from Abstract]
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