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ImagemagickAn introduction to the DICOM single-file format

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The Digital Imaging and Communications in Medicine (DICOM) standard was created by the National Electrical Manufacturers Association (NEMA) to aid the distribution and viewing of medical images, such as CT scans, MRIs, and ultrasound. Part 10 of the standard describes a file format for the distribution of images. This format is an extension of the older NEMA standard. Most people refer to image files which are compliant with Part 10 of the DICOM standard as DICOM format files. A complete copy of the standard (in PDF format) is avaiable for download (drafts of the standard are organized by year).

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A single DICOM file contains both a header (which stores information about the patient's name, the type of scan, image dimensions, etc), as well as all of the image data (which can contain information in three dimensions). This is different from the popular Analyze format, which stores the image data in one file (*.img) and the header data in another file (*.hdr). Another difference between DICOM and Analyze is that the DICOM image data can be compressed (encapsulated) to reduce the image size. Files can be compressed using lossy or lossless variants of the JPEG format, as well as a lossless Run-Length Encoding format (which is identical to the packed-bits compression found in some TIFF format images).

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DICOM is the most common standard for receiving scans from a hospital. Neuroimagers and neuropsychologists who wish to use SPM to normalize scans to stereotaxic space will need to convert these files to Analyze format. My freeware MRIcro software will directly convert most DICOM images to and from Analyze format. Eric Nolf's freeMedcon and XMedconsoftware can also convert between Analyze and DICOM.

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Applescript AppleScript macos-mouse-acceleration Mouse Acceleration osx OS X Node.js nodejs-assert assert nodejs-fs fs nodejs-path Node.js path API nodejs-process process nodejs-stream Node.js streams nodejs Node.js API package-json package.json PHP wip/php PHP Python python Python Rails. Congratulations, you have a working ImageMagick distribution under Mac OS X and you are ready to use ImageMagick to convert, compose, or edit your images or perhaps you'll want to use one of the Application Program Interfaces for C, C, Perl, and others.