This document discusses basic medical image processing and analysis techniques. It covers topics such as basic image processing to enhance raw medical data, basic image analysis to supplement qualitative assessment, quality evaluation to assess new hardware and software, statistical analysis and entropy to provide a theoretical framework, coding and decoding of medical images, stable and unstable signal processing, common image transforms, pre-processing to remove artifacts and enhance images, post-processing to derive additional data, and medical image display.

1. Basic Medical Image Processing and
Analysis

2. Basic ImageProcessing
Deals with the development of problem specific approaches to
enhance the raw medical data for the purpose of selective
visualization as well as further analysis.

3. Basic ImageAnalysis
Concentrates on the development of techniques to supplement the
usually qualitative and frequently subjective assessment of medical
image by human experts.

4. QualityEvaluation
Plays an important role in assessing any new hardware, software,
image acquisition techniques, image reconstruction or post-
processing algorithms.

5. StatisticalAnalysisand Entropy
Statistics of medical imaging fills the gap and provides a
theoretical framework for statistical investigation into medical
imaging technologies.

6. Codingand Decoding
Color information in digital images is used for many practical
purpose, mainly in security fields and also with gray scale images
applications.

8. Codingand Decoding
This paper introduces an encoding decoding process for medical
images. This method gives more speed and accuracy in the process
of encryption and decryption, where speed is needed for storing a
large number of medical images from different scanning
departments and these images are characterized by larger sizes than
average.

9. Stableand Unstable Signal Processing
• The system is said to be stable only when the output is bounded
for bounded input. For a bounded input, if the output is
unbounded in the system then it is said to be Unstable.
• A stable system satisfies the BIBO.
• (Bounded input for Bounded Output) means finite in amplitude.

10. Transformation
An image transformation can be applied to an image to convert it
from one domain to another. Viewing an image in domains such as
frequency or hough space enables the identification of features that
may not be easily detected in the spatial domain.

11. CommonImageTransforms include:
• Hough Transform
• Radon Transform
• Discrete Cosine Transform
• Discrete Fourier Transform
• Wavelet Transform

12. Pre-Medical Image Processing
Image pre-processing technique that not only removes unwanted
artifacts from the medical image but also enhances the required
portion.

13. Post Medical Image Processing
Advanced post-processing describes the manipulation of
radiographic images to derive additional qualitative or quantitative
data.

14. Medical Image Display
The adequate and repeatable performance of the image display
system is a key element of information technology platforms in a
modern radiology department.