A medical image is a portrayal of the inward design or capacity of an anatomic locale. It has a variety of picture components called pixels (2 dimensional) or voxels (3 dimensional). The quantity of pixels used to portray the field-of-perspective on a specific securing methodology is an outflow of the detail with which the life structures or capacity can be portrayed. The communication of the pixel data relies upon the imaging methodology, the obtaining convention, the remaking, and at last, the post-processing. This paper presents a demystifying outline of major file formats right now utilized in clinical imaging: Neuroimaging Informatics Technology Initiative (Nifti) and Digital Imaging and Communications in Medicine (Dicom). Concepts which is common to all document designs, like pixel profundity, photograph metric understanding, metadata, and pixel information, are first considered. Then, at this point, the attributes and qualities of the different formats are examined.

Keywords : Medical Imaging. Image Processing, File Formats, DICOM, Nifti