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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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711025000408 |
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| Summary: | 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. |
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| ISSN: | 2352-7110 |