Optimized S-Curve Transformation and Wavelets-Based Fusion for Contrast Elevation of Breast Tomograms and Mammograms
For the purpose of accuracy in detection and diagnosis, Computer-Aided Diagnosis (CAD) is preferred by radiologists for the analysis of Breast Cancer. However, the presence of noise, artifacts, and poor contrast in breast images during acquisition highlights the need for sophisticated enhancement te...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/13/3/410 |
| _version_ | 1827760226494840832 |
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| author | Vikrant Bhateja Shabana Urooj Anushka Dikshit Ashruti Rai |
| author_facet | Vikrant Bhateja Shabana Urooj Anushka Dikshit Ashruti Rai |
| author_sort | Vikrant Bhateja |
| collection | DOAJ |
| description | For the purpose of accuracy in detection and diagnosis, Computer-Aided Diagnosis (CAD) is preferred by radiologists for the analysis of Breast Cancer. However, the presence of noise, artifacts, and poor contrast in breast images during acquisition highlights the need for sophisticated enhancement techniques for the proper visualization of region-of-interest (ROI). In this work, contrast elevation of breast mammographic and tomographic images is performed with an improved S-Curve transform using the Particle Swarm Optimization (PSO) algorithm. The enhanced images are assessed using dedicated quality metrics such as the Enhancement Measure (EME) and Absolute Mean Brightness Error (AMBE) measurement. Although the enhancement techniques help in attaining better images, certain features relevant for diagnosis purposes are removed during the enhancement process, creating contradictions for radiological interpretation. Hence, to ensure the retention of diagnostic features from original breast tomograms and mammograms, a Discrete Wavelet Transform (DWT)-based fusion approach is incorporated, which fuses the original and contrast-enhanced images (with optimized s-curve transformation function) using the maximum fusion rule. The fusion performance is thereafter measured using the Image Quality Index (IQI), Standard Deviation (SD), and Entropy (E) as fusion metrics. |
| first_indexed | 2024-03-11T09:49:35Z |
| format | Article |
| id | doaj.art-e3a154a039d84fe3b3c5c8029f3a6c87 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-11T09:49:35Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-e3a154a039d84fe3b3c5c8029f3a6c872023-11-16T16:24:21ZengMDPI AGDiagnostics2075-44182023-01-0113341010.3390/diagnostics13030410Optimized S-Curve Transformation and Wavelets-Based Fusion for Contrast Elevation of Breast Tomograms and MammogramsVikrant Bhateja0Shabana Urooj1Anushka Dikshit2Ashruti Rai3Department of Electronics Engineering, Veer Bahadur Singh Purvanchal University, Shahganj Road, Jaunpur 222003, Uttar Pradesh, IndiaDepartment of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaDepartment of Electronics and Communication Engineering, Shri Ramswaroop Memorial College of Engineering and Management, Faizabad Road, Lucknow 226028, Uttar Pradesh, IndiaDepartment of Electronics and Communication Engineering, Shri Ramswaroop Memorial College of Engineering and Management, Faizabad Road, Lucknow 226028, Uttar Pradesh, IndiaFor the purpose of accuracy in detection and diagnosis, Computer-Aided Diagnosis (CAD) is preferred by radiologists for the analysis of Breast Cancer. However, the presence of noise, artifacts, and poor contrast in breast images during acquisition highlights the need for sophisticated enhancement techniques for the proper visualization of region-of-interest (ROI). In this work, contrast elevation of breast mammographic and tomographic images is performed with an improved S-Curve transform using the Particle Swarm Optimization (PSO) algorithm. The enhanced images are assessed using dedicated quality metrics such as the Enhancement Measure (EME) and Absolute Mean Brightness Error (AMBE) measurement. Although the enhancement techniques help in attaining better images, certain features relevant for diagnosis purposes are removed during the enhancement process, creating contradictions for radiological interpretation. Hence, to ensure the retention of diagnostic features from original breast tomograms and mammograms, a Discrete Wavelet Transform (DWT)-based fusion approach is incorporated, which fuses the original and contrast-enhanced images (with optimized s-curve transformation function) using the maximum fusion rule. The fusion performance is thereafter measured using the Image Quality Index (IQI), Standard Deviation (SD), and Entropy (E) as fusion metrics.https://www.mdpi.com/2075-4418/13/3/410Absolute Mean Brightness Error (AMBE)breast tomographic imagescontrast enhancementDWTfusion metricsPSO and S-curve transform |
| spellingShingle | Vikrant Bhateja Shabana Urooj Anushka Dikshit Ashruti Rai Optimized S-Curve Transformation and Wavelets-Based Fusion for Contrast Elevation of Breast Tomograms and Mammograms Diagnostics Absolute Mean Brightness Error (AMBE) breast tomographic images contrast enhancement DWT fusion metrics PSO and S-curve transform |
| title | Optimized S-Curve Transformation and Wavelets-Based Fusion for Contrast Elevation of Breast Tomograms and Mammograms |
| title_full | Optimized S-Curve Transformation and Wavelets-Based Fusion for Contrast Elevation of Breast Tomograms and Mammograms |
| title_fullStr | Optimized S-Curve Transformation and Wavelets-Based Fusion for Contrast Elevation of Breast Tomograms and Mammograms |
| title_full_unstemmed | Optimized S-Curve Transformation and Wavelets-Based Fusion for Contrast Elevation of Breast Tomograms and Mammograms |
| title_short | Optimized S-Curve Transformation and Wavelets-Based Fusion for Contrast Elevation of Breast Tomograms and Mammograms |
| title_sort | optimized s curve transformation and wavelets based fusion for contrast elevation of breast tomograms and mammograms |
| topic | Absolute Mean Brightness Error (AMBE) breast tomographic images contrast enhancement DWT fusion metrics PSO and S-curve transform |
| url | https://www.mdpi.com/2075-4418/13/3/410 |
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