Published 4/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.58 GB | Duration: 3h 36m
A Comprehensive Guide to Dicom File Handling with Python
What you’ll learn
How to process Dicom files using Python
How to read/write dicom files
How to convert dicom files into JPG/PNG
How to convert dicom series to NIFTI
How to convert dicom series to MP4
How to play with the contrast of dicom files
How to create a visualization Tkinter application that has multiple features
Requirements
Basic Python Concepts
No specific hardware is required
Description
This course is designed to provide you with a comprehensive understanding of how to work with DICOM files using Python. You will start by learning how to install the necessary packages to work with DICOM files in Python. Then, you will dive into the fundamental concepts of working with DICOM files, including how to read and extract information from them, how to visualize them using libraries like PIL, and how to anonymize them.The course will also cover various techniques for converting DICOM files to other image and video formats, such as PNG, JPG, and MP4, using libraries like OpenCV, ffmpeg, and dicom2nifti. By the end of this section, you will be able to apply these techniques to your own projects and work with DICOM files in a variety of formats.Finally, the course will cover the backend of a DICOM viewer application built using the Tkinter library in Python. You will learn how to open and display DICOM files, including visualizing them in 2D, as well as how to extract and display information from DICOM files. By the end of the course, you will have a solid foundation in working with DICOM files using Python and will be able to build your own applications and projects that involve DICOM files.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Install the Text Editor (VS Code)
Lecture 3 Installing Conda
Lecture 4 Installing the Packages
Section 2: Read Dicom Files
Lecture 5 Read Dicom Files
Lecture 6 Get Dicom Information
Lecture 7 Visualize Dicom Images: Approach 1
Lecture 8 Visualize Dicom Images: Approach 2
Lecture 9 Visualize Dicom Images: Organize Scripts
Lecture 10 Anonymize Dicom Files
Lecture 11 Change Tags
Lecture 12 Change Pixel Data
Section 3: Transforming DICOM Data: Images and Videos
Lecture 13 Convert Dicom to PNG/JPG
Lecture 14 Convert a Group of Dicoms to PNG/JPG
Lecture 15 Convert a Group of Dicoms to NIFTI
Lecture 16 Convert a Group of Dicoms to MP4 Video
Section 4: Project: Building a DICOM Viewer Application with Tkinter
Lecture 17 Introduction to the Application
Lecture 18 Explaining the Skeleton
Lecture 19 Explaining the Viewer
Lecture 20 Explaining the Anonymization & Patient Information
Lecture 21 Change Contrast
Lecture 22 Save Dicom to PNG & MP4
Lecture 23 Clone the GitHub Repo
This course is ideal for medical professionals, researchers, and developers who want to work with medical imaging data using Python. It is also suitable for individuals who are interested in learning how to handle DICOM files in Python, regardless of their background. Whether you are a beginner or have some experience with Python programming, this course will provide you with a solid foundation in working with DICOM files and enable you to apply your skills in real-world projects involving medical imaging.
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