Medical Image Analysis in Python_468 x 60 copy 2.png

medical.tar.gz

medical

In this course, you’ll learn the basics of medical image analysis using Python. You will learn to display and interpret X-ray and CT scans. This course uses relevant Python libraries and commands on medical images for format conversion, segmentation, and analyzing metadata. You can successfully complete this course with only a basic understanding of Python and no background in medical imaging.

Medical Image Analysis in Python

# Let’s look at the file reads
As mentioned before, **DICOM** files contain metadata in addition to the image. 

Let’s try to explore our **metadata**.











Patient Metadata 

align-center


Let’s start with what we already know–the file reads. The result will look like this:




The part that says `“X-ray view of the image in relation to the orientation of the object”` represents the view position, that is, **`PA`**=Front and **`AP`**=Back. The chest can take on the values corresponding to the **direct** (front and back) and **lateral** (left or right) projections.
# The metadata of the DICOM file

We’ll look at the metadata of DICOM files.

Attribute	Description
PatientID	It contains the ID of the patient.
PatientAge	It contains the age of the patient.
PatientSex	It contains the gender of the patient.
Modality	It contains the diagnosis technology.
BodyPart	It contains the body part of the patient that is affected.
ViewPosition	It contains an X-ray view of the image in relation to the orientation of the object.

__default

Exploration of Metadata

Let’s look at the file reads

Patient Metadata