# Image-fusion-MRI-CT

**Repository Path**: jia_leilei001/Image-fusion-MRI-CT

## Basic Information

- **Project Name**: Image-fusion-MRI-CT
- **Description**: The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a new image which is more suitable for human and machine perception or further image-processing tasks such as segmentation, feature extraction and object recognition. 
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 1
- **Created**: 2020-12-09
- **Last Updated**: 2023-06-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

In this project we are demonstrating image fusion using wavelet transform with
maximum and average rules. Since the input images are CT (computed
tomography) and MRI (magnetic resonance imaging) scans of the brain
containing a tumor, we are also showing the tumor. In the arena of biomedical
imaging, two widely used modalities, namely the MRI and the CT scan do not
reveal identically every detail of brain structure. While CT scan is especially
suitable for imaging bone structure and hard tissues, the MR images are much
superior in depicting the soft tissues in the brain that play very important roles
in detecting diseases affecting the skull base. When finally fused together can
conclude many things in the medical field.