python--Research on DICOM images

DICOM3.0 images are standard medical imaging images produced by medical imaging equipment. DICOM is widely used in radiological medicine, cardiovascular imaging and radiological diagnosis and treatment diagnostic equipment (X-ray, CT, MRI, ultrasound, etc.), and is used in ophthalmology It is increasingly used in other medical fields such as dentistry and dentistry. With tens of thousands of medical imaging devices in use, DICOM is one of the most widely deployed medical information standards. Currently, there are approximately tens of billions of medical images that comply with DICOM standards for clinical use.

How to read the seemingly mysterious image file? A casual search on the Internet will reveal many methods, but there is a lack of a more systematic method of use. The following article will combine Baidu information and python2.7 to explain how to read and use DICOM images.

Reading DICOM images requires the following libraries: pydicom, CV2, numpy, matplotlib. pydicom is a Python-specific package that specializes in processing dicom images, numpy is a package that efficiently handles scientific calculations, and it is a library for drawing based on data.

Installation:

If not I remember wrongly, when installing pydicom, numpy will also be automatically installed.

1 pip install matplotlib

 pip install opencv-python  #opencv的安装，小度上基本都是要下载包，安装包后把包复制到某个文件夹下，
#后来我在找到这种pip的安装方法，亲测可用

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