医学图像文件格式。
Medical image file formats.
作者信息
Larobina Michele, Murino Loredana
机构信息
Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale delle Ricerche, Via Tommaso De Amicis, 95, 80145, Naples, Italy,
出版信息
J Digit Imaging. 2014 Apr;27(2):200-6. doi: 10.1007/s10278-013-9657-9.
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.
摘要
对于想要处理医学图像的人来说，图像文件格式常常是一个令人困惑的方面。本文对医学成像中目前使用的主要文件格式进行了深入浅出的概述：分析格式（Analyze）、神经成像信息技术倡议格式（Nifti）、Minc格式以及医学数字成像和通信格式（Dicom）。首先介绍了所有文件格式共有的概念，如像素深度、光度解释、元数据和像素数据。然后，讨论了各种格式的特点和优势。本文最后对医学图像文件格式的未来趋势进行了一些预测性思考。
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