Related Experiment Video
Updated: Mar 19, 2026
07:15
Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
Published on: July 11, 2025
3.7K
Contrast enhancement for brain MRI images via genetic algorithm-based dual cut histogram equalization
Iksan Bukhori1, Kok Swee Sim2, Kok Beng Gan3
1Department of Electrical Engineering, Faculty of Engineering, President University, Bekasi, 17550, Indonesia.
Scientific Reports
|March 18, 2026
Summary
This study introduces Genetically Adapted Dual Cut Histogram Equalization (GADCHE), a new method to improve Magnetic Resonance Imaging (MRI) contrast for better brain tumor detection. GADCHE enhances image clarity while preserving essential structural details.
Area of Science:
- Medical Imaging
- Computer Vision
- Artificial Intelligence
Background:
- Low contrast in Magnetic Resonance Imaging (MRI) hinders accurate medical diagnosis, particularly for identifying brain tumors.
- Both visual inspection and automated machine learning algorithms struggle with low-contrast MRI scans.
Purpose of the Study:
- To introduce a novel contrast enhancement technique for brain MRI images called Genetically Adapted Dual Cut Histogram Equalization (GADCHE).
- To enhance image contrast while simultaneously preserving the structural integrity of the MRI images.
Main Methods:
- The proposed GADCHE method optimizes histogram equalization by eliminating extreme values and partitioning the histogram into three groups.
- Asymmetric transformation is applied to these partitions, with a Genetic Algorithm optimizing the histogram's cutting points for superior results.
- The technique was validated across three distinct datasets.
Main Results:
- GADCHE demonstrated significant contrast enhancement, achieving high scores in metrics like Effective Measure of Enhancement (EME) (263.25) and Logarithmic Michelson Contrast Measure (AME) (1.196).
- The method maintained structural integrity, evidenced by a Structural Similarity Index (SSIM) score of 0.74.
- Experimental results indicate GADCHE outperforms other techniques in contrast entropy while maintaining competitive structural preservation.
Conclusions:
- Genetically Adapted Dual Cut Histogram Equalization (GADCHE) offers a promising solution for improving brain MRI quality.
- The technique effectively balances contrast enhancement with the preservation of crucial image structures, aiding in more reliable medical diagnoses.
