Impact of Distortion on Local Radiomic Analysis of Quadriceps Based on Quantitative Magnetic Resonance Imaging Data
Hoai-Thu Nguyen1, Sylvain Grange1,2, Benjamin Leporq1, Magalie Viallon1,2,
Pierre Croisille 1,2, and
Thomas Grenier1
1.Univ Lyon, UJM-Saint Etienne, INSA-Lyon, UCB Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1206, France
2.Department of Radiology, Centre Hospitalier Universitaire de Saint-Etienne, UJM-Saint Etienne, Saint-Etienne, France
2.Department of Radiology, Centre Hospitalier Universitaire de Saint-Etienne, UJM-Saint Etienne, Saint-Etienne, France
Abstract—This study investigates the impact of the MRI distortion that appears between 3D T1 Dixon Water-only images and both spoiled gradient echo and multi-echos T2 weighted spin-echo images when sequentially acquired. Recent studies focusing on radiomic features locally computed on muscle heads or bone marrow segmentations require precise corrections of the bias field and the distortion. Our results suggest that classically used rigid registration are not optimal for such fine study and that deformable registration should be preferred to limit significant error in radiomic feature extraction. However, from our experiments on our data, no significant change in radiomic statistic is observed whatever segmentation correction approach was applied. This indicates that radiomic features are not sensitive to segmentation refinement when considering large 3D regions.
Index Terms—radiomics, quantitative maps, registration, magnetic resonance imaging
Cite: Hoai-Thu Nguyen, Sylvain Grange, Benjamin Leporq, Magalie Viallon, Pierre Croisille, and Thomas Grenier, "Impact of Distortion on Local Radiomic Analysis of Quadriceps Based on Quantitative Magnetic Resonance Imaging Data," International Journal of Pharma Medicine and Biological Sciences, Vol. 10, No. 2, pp. 49-54, April 2021. doi: 10.18178/ijpmbs.10.2.49-54
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
Cite: Hoai-Thu Nguyen, Sylvain Grange, Benjamin Leporq, Magalie Viallon, Pierre Croisille, and Thomas Grenier, "Impact of Distortion on Local Radiomic Analysis of Quadriceps Based on Quantitative Magnetic Resonance Imaging Data," International Journal of Pharma Medicine and Biological Sciences, Vol. 10, No. 2, pp. 49-54, April 2021. doi: 10.18178/ijpmbs.10.2.49-54
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.