TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images
Magnetic Resonance Imaging (MRI) plays a pivotal role in medical diagnostics and research as a non-invasive imaging tool. The accuracy and reliability of clinical evaluations depend heavily on the quality of MRI images, making high-quality imaging indispensable. Unfortunately, many MRI scans are com...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | SoftwareX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711025000408 |
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| author | Igor Stępień |
| author_facet | Igor Stępień |
| author_sort | Igor Stępień |
| collection | DOAJ |
| description | Magnetic Resonance Imaging (MRI) plays a pivotal role in medical diagnostics and research as a non-invasive imaging tool. The accuracy and reliability of clinical evaluations depend heavily on the quality of MRI images, making high-quality imaging indispensable. Unfortunately, many MRI scans are compromised by noise, artifacts, or distortions, highlighting the need for no-reference Image Quality Assessment (IQA) methods to evaluate MR image quality. The proposed Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images (TIQA-MRI) addresses this issue by offering a dedicated platform for assessing MR image quality. TIQA-MRI supports the development, testing, and evaluation of MR-IQA techniques through a collection of objective IQA methods and a curated dataset of MR images with subjective scores, facilitating comprehensive quality assessment. The toolbox allows users to evaluate the quality of their images and compare their MR-IQA techniques with existing methods. Implemented in MATLAB and available on GitHub, TIQA-MRI offers a standardized and accessible framework to advance research in MR image quality assessment. |
| format | Article |
| id | doaj-art-e377e5255c5a470385cf712a8132158e |
| institution | Kabale University |
| issn | 2352-7110 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj-art-e377e5255c5a470385cf712a8132158e2025-02-05T04:32:13ZengElsevierSoftwareX2352-71102025-02-0129102073TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance ImagesIgor Stępień0Doctoral School of Engineering and Technical Sciences at the Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, PolandMagnetic Resonance Imaging (MRI) plays a pivotal role in medical diagnostics and research as a non-invasive imaging tool. The accuracy and reliability of clinical evaluations depend heavily on the quality of MRI images, making high-quality imaging indispensable. Unfortunately, many MRI scans are compromised by noise, artifacts, or distortions, highlighting the need for no-reference Image Quality Assessment (IQA) methods to evaluate MR image quality. The proposed Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images (TIQA-MRI) addresses this issue by offering a dedicated platform for assessing MR image quality. TIQA-MRI supports the development, testing, and evaluation of MR-IQA techniques through a collection of objective IQA methods and a curated dataset of MR images with subjective scores, facilitating comprehensive quality assessment. The toolbox allows users to evaluate the quality of their images and compare their MR-IQA techniques with existing methods. Implemented in MATLAB and available on GitHub, TIQA-MRI offers a standardized and accessible framework to advance research in MR image quality assessment.http://www.sciencedirect.com/science/article/pii/S2352711025000408Image quality assessmentMagnetic resonance imagesPerceptual image qualityToolboxBenchmark |
| spellingShingle | Igor Stępień TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images SoftwareX Image quality assessment Magnetic resonance images Perceptual image quality Toolbox Benchmark |
| title | TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images |
| title_full | TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images |
| title_fullStr | TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images |
| title_full_unstemmed | TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images |
| title_short | TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images |
| title_sort | tiqa mri toolbox for perceptual image quality assessment of magnetic resonance images |
| topic | Image quality assessment Magnetic resonance images Perceptual image quality Toolbox Benchmark |
| url | http://www.sciencedirect.com/science/article/pii/S2352711025000408 |
| work_keys_str_mv | AT igorstepien tiqamritoolboxforperceptualimagequalityassessmentofmagneticresonanceimages |