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in this article well discuss the conversion of image formats using suns java image i/o (imageio) and the nih imagej apis. the image formats of interest are dicom, jpeg 2000, png, and tiff. these formats are widely used in medical applications; however, most of the disciplines in medicine are standardizing on dicom. a single api, imageio or imagej, supports the reading and writing of limited image formats. well describe the use of these two apis to support the reading and writing of a larger number of image formats as well as the process of extracting rich metadata from dicom files.
in general, medical image files contain the following information:
image data, which may be in three dimensions and may be raw/unmodified or compressed.
header data, which contains metadata such as patient information, image information, and equipment information. this information may be stored in different formats using a variety of standards - dicom and jpeg 2000 standards are described below. the digital imaging and communications in medicine (dicom) standard was created by the national electrical manufacturers association (nema) to standardize the imaging and communication format across multiple manufacturers to aid the distribution and viewing of medical images, such as ct scans, mris, and ultrasound. dicom is an industry standard supported by most of the major medical imaging equipment manufacturers. it is a complex standard consisting of many parts, which are specified in the nema documents and can be found at medical.nema.org/dicom/200... 下一页