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The Digital Imaging and Communications in Medicine (DICOM) standard was created by the National Electrical Manufacturers Association (NEMA). Its aim is to support the distribution and viewing of medical images from CT, MRI and other medical modalities. The DICOM format is an extension of the older NEMA standard. A DICOM file contains a header and the image data. The header stores information about the patient's name, the type of scan, position and dimension of image and lots of other data. The image data part contains all the image information. The ANALYZE format stores the haeder (*.hdr) and the image data (*.img) in separate files. The DICOM image data can be compressed - in contrast to ANALYZE data - either lossless or lossy in order to reduce disk space. DICOM is the common standard for scans from hospitals.
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DICOM tools
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Links to DICOM introductions, resources, conformance statements, toolkits and testing tools by David Bandon.
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David Clunie's Medical Image Format Site
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This site from David Clunie contains links to DICOM information, books, papers, images, compression information and software.
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MEDTECH links
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Lots of links from Timo Mäkelä for DICOM information and medical image processing.
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Philips DICOM server
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DICOM data from the DICOM ftp server of Philips Medical Systems.
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Create 3D image data by a series of 2D dicom files
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A posting from Jolinda Smith on how to sort 2D DICOM files for a 3D volume using the "IOP" and "IPP" fields.
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DICOM introduction and free software
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This guide by Chris Rorden gives is a brief description of the DICOM standard, which is commonly used for the transfer and storage of medical images. Lots of information and usefull links.
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David Bandon
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David Bandon works at the University Hospital of Geneva, Switzerland. His research interests are medical image processing and DICOM formats.
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David Clunie
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David Clunie works at the Princeton Radiology Pharmaceutical Research at Princeton, United States of America. His interests are DICOM formats and medical imaging.
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Timo Mäkelä
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Timo Mäkelä is working at the Helsinki university of technology, Finland. His is interested in biomedical engineering and image processing.
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Chris Rorden
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Chris Rorden works at the University of Nottingham, United Kingdom. His research interests are links between motor control and perception and medical imaging.
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Jolinda Smith
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Jolinda Smith is working at the Lewis Center for Neuroimaging at the University of Oregon, United States of America. She wrote MRIConvert, a DICOM file converter.
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3D Slicer
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The 3D Slicer is freely available, open-source software for visualization, registration, segmentation, and quantification of medical data, programmed in JAVA. Development of the Slicer is an ongoing collaboration between the MIT Artificial Intelligence Lab and the Surgical Planning Lab at Brigham & Women's Hospital, an affiliate of Harvard Medical School.
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For DICOM datasets look at the "Download" page. There are several samples listed.
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