363-05-012 ISMRM Abstract

Exploring Brain Iron Deposition in Thalassemia Using Sub-voxel QSM and Machine Learning Models for Accurate Diagnosis

Primary: Neuro - Other Neurodegeneration

Secondary: Acquisition & Reconstruction - Quantitative Imaging: head and neck

363-05-012 · Classification and Analysis in the Brain · Monday, 11 May, 4:10 PM–5:05 PM · Digital Posters Row D

Keywords: Machine learning Thalassemia Brain Iron Deposition Sub-voxel QSM SHAP Analysis

Accepted

Mingrui Yang^1,2, Peng Peng ^1,3, Huang Yugui¹, Chunxia Zhu¹, Jiatong Liang¹, Guowei Chen¹, Kong Rong¹, Cheng Tang^1,3, Hui Zhang⁴

¹The First Affiliated Hospital of Guangxi Medical University,, Nanning, China

²The First School of Clinical Medicine of Binzhou Medical University, Binzhou, China

³NHC Key Laboratory of Thalassemia Medicine., Nanning, China

⁴MR Research Collaboration Team, Shanghai, China

Presenting Author: Peng Peng

Synopsis

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References

1. Taher, A.T. and A.N. Saliba, Iron overload in thalassemia: different organs at different rates. Hematology Am Soc Hematol Educ Program, 2017. 2017(1): p. 265-271.

2. Bizri, M., et al., Quality of life, mood disorders, and cognitive impairment in adults with beta-thalassemia. Blood Rev, 2024. 65: p. 101181.

3. Zachariou, V., et al., Ironsmith: An automated pipeline for QSM-based data analyses. Neuroimage, 2022. 249: p. 118835.

4. Lao, G., et al., Sub-voxel quantitative susceptibility mapping for assessing whole-brain magnetic susceptibility from ages 4 to 80. Hum Brain Mapp, 2023. 44(17): p. 5953-5971.

5. Li, Z., et al., APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an iterative data fitting method. Neuroimage, 2023. 274: p. 120148.

6. Saleem, M., et al., Predicting Thalassemia Using Feature Selection Techniques: A Comparative Analysis. Diagnostics (Basel), 2023. 13(22).

7. Sylvester, S., et al., SHAP value-based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methods. Behav Res Methods, 2024. 56(6): p. 6067-6081.

8. Shin, H.G., et al., chi-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain. Neuroimage, 2021. 240: p. 118371.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/363-05-012