A Comprehensive Evaluation of Radiomic Features in Normal Brain Magnetic Resonance Imaging: Investigating Robustness and Region Variations
Background: Despite extensive research on various brain diseases, a few studies have focused on radiomic feature distribution in healthy brain images. The present study applied a novel radiomic framework to investigate the robustness and baseline values of radiomic features in normal brain magnetic...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2024-12-01
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| Series: | Journal of Medical Physics |
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| Online Access: | https://journals.lww.com/10.4103/jmp.jmp_149_24 |
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| author | Mahsa Shakeri Ahmad Mostaar Arash Zare Sadeghi Seyyed Mohammad Hosseini Ali Yaghobi Joybari Hossein Ghadiri |
| author_facet | Mahsa Shakeri Ahmad Mostaar Arash Zare Sadeghi Seyyed Mohammad Hosseini Ali Yaghobi Joybari Hossein Ghadiri |
| author_sort | Mahsa Shakeri |
| collection | DOAJ |
| description | Background:
Despite extensive research on various brain diseases, a few studies have focused on radiomic feature distribution in healthy brain images. The present study applied a novel radiomic framework to investigate the robustness and baseline values of radiomic features in normal brain magnetic resonance imaging (MRIs) regions.
Materials and Methods:
Analyses were performed on T1 and T2 images including 276 normal brains and 14 healthy volunteers were scanned with three scanners using the same protocols. The images were divided into 1024 three-dimensional nonoverlap patches with the same pixel size. Seven patches located in the thalamus, putamen, hippocampus and brain stem were selected as volume of interest (VOI). Eighty-five radiomic features were generated. To investigate the variation of features across VOIs, the analysis of variance was performed and coefficient of variation (COV) and intraclass correlation coefficient (ICC) were explored to examine the features repeatability.
Results:
Thalamus (right and left) and hippocampus (left) resulted in more stable features (COV ≤ 6%) in T1 and T2 images, respectively. The inter-scanner ICC analysis demonstrated the features of T2 sequences represented more repeatable results and the brain stem and thalamus (both T1 and T2) showed particularly high repeatability (higher ICC values). Robust results (ICC ≥ 0.9) were identified for energy and range features of the first order class and several textures features across different brain regions.
Conclusion:
Our results indicated the baselines of the repeatable texture features in healthy brain structural MRI highlighting inter-scanner stability. According to the findings, MRI sequencing and VOI location impact feature robustness and should be considered in brain radiomic studies. |
| format | Article |
| id | doaj-art-d831c9ff8c2a48f4b574df919f092d0c |
| institution | Kabale University |
| issn | 0971-6203 1998-3913 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Medical Physics |
| spelling | doaj-art-d831c9ff8c2a48f4b574df919f092d0c2025-01-07T07:19:03ZengWolters Kluwer Medknow PublicationsJournal of Medical Physics0971-62031998-39132024-12-0149460862210.4103/jmp.jmp_149_24A Comprehensive Evaluation of Radiomic Features in Normal Brain Magnetic Resonance Imaging: Investigating Robustness and Region VariationsMahsa ShakeriAhmad MostaarArash Zare SadeghiSeyyed Mohammad HosseiniAli Yaghobi JoybariHossein GhadiriBackground: Despite extensive research on various brain diseases, a few studies have focused on radiomic feature distribution in healthy brain images. The present study applied a novel radiomic framework to investigate the robustness and baseline values of radiomic features in normal brain magnetic resonance imaging (MRIs) regions. Materials and Methods: Analyses were performed on T1 and T2 images including 276 normal brains and 14 healthy volunteers were scanned with three scanners using the same protocols. The images were divided into 1024 three-dimensional nonoverlap patches with the same pixel size. Seven patches located in the thalamus, putamen, hippocampus and brain stem were selected as volume of interest (VOI). Eighty-five radiomic features were generated. To investigate the variation of features across VOIs, the analysis of variance was performed and coefficient of variation (COV) and intraclass correlation coefficient (ICC) were explored to examine the features repeatability. Results: Thalamus (right and left) and hippocampus (left) resulted in more stable features (COV ≤ 6%) in T1 and T2 images, respectively. The inter-scanner ICC analysis demonstrated the features of T2 sequences represented more repeatable results and the brain stem and thalamus (both T1 and T2) showed particularly high repeatability (higher ICC values). Robust results (ICC ≥ 0.9) were identified for energy and range features of the first order class and several textures features across different brain regions. Conclusion: Our results indicated the baselines of the repeatable texture features in healthy brain structural MRI highlighting inter-scanner stability. According to the findings, MRI sequencing and VOI location impact feature robustness and should be considered in brain radiomic studies.https://journals.lww.com/10.4103/jmp.jmp_149_24brainmagnetic resonance imagingradiomic featuresrepeatablerobust |
| spellingShingle | Mahsa Shakeri Ahmad Mostaar Arash Zare Sadeghi Seyyed Mohammad Hosseini Ali Yaghobi Joybari Hossein Ghadiri A Comprehensive Evaluation of Radiomic Features in Normal Brain Magnetic Resonance Imaging: Investigating Robustness and Region Variations Journal of Medical Physics brain magnetic resonance imaging radiomic features repeatable robust |
| title | A Comprehensive Evaluation of Radiomic Features in Normal Brain Magnetic Resonance Imaging: Investigating Robustness and Region Variations |
| title_full | A Comprehensive Evaluation of Radiomic Features in Normal Brain Magnetic Resonance Imaging: Investigating Robustness and Region Variations |
| title_fullStr | A Comprehensive Evaluation of Radiomic Features in Normal Brain Magnetic Resonance Imaging: Investigating Robustness and Region Variations |
| title_full_unstemmed | A Comprehensive Evaluation of Radiomic Features in Normal Brain Magnetic Resonance Imaging: Investigating Robustness and Region Variations |
| title_short | A Comprehensive Evaluation of Radiomic Features in Normal Brain Magnetic Resonance Imaging: Investigating Robustness and Region Variations |
| title_sort | comprehensive evaluation of radiomic features in normal brain magnetic resonance imaging investigating robustness and region variations |
| topic | brain magnetic resonance imaging radiomic features repeatable robust |
| url | https://journals.lww.com/10.4103/jmp.jmp_149_24 |
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