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Journal of Imaging Informatics in Medicine

Erschienen in:

01.04.2014

Medical Image File Formats

verfasst von: Michele Larobina, Loredana Murino

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 2/2014

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Abstract

Image file format is often a confusing aspect for someone wishing to process medical images. This article presents a demystifying overview of the major file formats currently used in medical imaging: Analyze, Neuroimaging Informatics Technology Initiative (Nifti), Minc, and Digital Imaging and Communications in Medicine (Dicom). Concepts common to all file formats, such as pixel depth, photometric interpretation, metadata, and pixel data, are first presented. Then, the characteristics and strengths of the various formats are discussed. The review concludes with some predictive considerations about the future trends in medical image file formats.

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Titel: Medical Image File Formats
verfasst von: Michele Larobina
Loredana Murino
Publikationsdatum: 01.04.2014
Verlag: Springer US
Erschienen in: Journal of Imaging Informatics in Medicine / Ausgabe 2/2014
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-013-9657-9

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