Handling DICOM X-Ray images

Dr. Rahul Remanan,
CEO, Moad Computer

In this code example using Python3, the pydicom library is used to handle the DICOM X-Ray images

The following features are implemented in this example:

• Monochrome profile correction for the X-Ray images that are stored in DICOM format using the 'MONOCHROME1' photometric interpretation.
• The grayscale Value of Interest (VOI) Look up Table (LUT) image transformations. VOI-LUT applies optimized DICOM image transformations to suit the display of that particular file. The digital displays used by radiologists are specifically calibrated to the DICOM image contrast values. When VOI-LUT is applied to a DICOM image, this transformation outputs an optimized set of gray scale values for a particular imaged organ. These transformed values are best suited for the gray scale calibrated radiology displays.
• Convert the DICOM array to UINT8 type.

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