title: Medical image file formats.
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.
authors: Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale delle Ricerche, Via Tommaso De Amicis, 95, 80145, Naples, Italy, michele.larobina@cnr.it.
authors: Michele
authors: M
authors: Larobina
authors: Loredana
authors: L
authors: Murino
mesh_terms: D006801:Humans; D007089:Image Enhancement / Q000592:standards; D007091:Image Processing, Computer-Assisted / Q000592:standards*; D011873:Radiology Information Systems; D012984:Software