Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - From Iron to Intelligence: Quantitative Imaging and AI in Brain Disorders

From Iron to Intelligence: Quantitative Imaging and AI in Brain Disorders

Digital Poster

Neuro A

Monday, 11 May 2026

Digital Posters Row D

14:45 - 15:40

Session Number: 363-04

No CME/CE Credit

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This digital poster session highlights innovative applications of quantitative neuroimaging and computational methods across a broad spectrum of neurological, psychiatric, and systemic conditions. Presentations feature advanced MRI and PET techniques (e.g., QSM, ultra-high-field imaging, morphometry, metabolic imaging), studies of iron, tau, amyloid, and cortical organization, and emerging AI approaches for anomaly detection and prognosis prediction. Together, the digital posters demonstrate how cutting-edge imaging biomarkers and data-driven tools are expanding our understanding of brain structure, function, and vulnerability across health and disease.

		363-04-001. Improving QSM sensitivity in Wilson's disease patients using the DECOMPOSE algorithm in 7 Tesla MRI Izaely Prates, Nicholas Sousa, Fábio Otsuka, Igor Brum, Jacy Parmera, Chunlei Liu, Maria Garcia Otaduy, Leandro Lucato University of Sao Paulo, Ribeirao Preto, Brazil Impact: This study indicates that the DECOMPOSE-QSM technique can improve the sensitivity of brain iron detection in Wilson's disease. This technique shows potential as a tool for enhancing early diagnosis and treatment monitoring, offering a promising new tool for clinical assessment.
		363-04-002. Heterogeneous Iron Dysregulation in Subcortical Nuclei of Obstructive Sleep Apnea Patients: A 7.0 Tesla QSM Study Qiao Wen, Jing Zhou, Huilou Liang, Fei Zhu, Tengfei Ma, Haiyang Wang, Jian Zou, Su Lui, Peilin Lu West China Hospital, Sichuan University, China Impact: This study establishes 7.0T QSM as a sensitive biomarker for heterogeneous OSA-related brain injury, enabling longitudinal studies to monitor progression and assess whether therapies such as CPAP can reverse region-specific iron abnormalities.
		363-04-003. Longitudinal Neurometabolic Mapping Reveals Brain Regional Vulnerability in Young Rats with Chronic Liver Disease Gianna Nossa, Brayan Alves, Thanh Phong Lê, Dario Sessa, Tan Toi Phan, Thi Ngoc Anh Dinh, Estelle Gerossier, Bernard Lanz, Valerie McLin, Cristina Cudalbu CIBM Center for BioMedical Imaging, Lausanne, Switzerland, Switzerland Impact: Our study provides new insights into how chronic liver disease alters brain metabolism during development, revealing region- and sex-specific vulnerabilities that advance understanding and potential diagnosis of type C hepatic encephalopathy.
		363-04-004. Quantitative susceptibility mapping and phase imaging for the study of multiple sclerosis in the spinal cord at 7T Aurelien Destruel, Sarah Demortière, Maxime Guye, Jean Pelletier, Virginie Callot Aix Marseille Univ, Marseille, France Impact: This study demonstrates the feasibility of spinal cord QSM at 7T and identifies reconstruction methods best suited to spinal anatomy and acquisition strategies. The proposed framework provides improved tissue visualization and lesion visibility compared with conventional phase imaging.
		363-04-005. Altered Cortical Morphometric Similarity and Network Topology in Methamphetamine Dependence: Evidence from the MIND Network hao wang, Jia Liu, Qingqing Wen, Huifen Liu, Wenhua Zhou, Yadi Li Impact: MIND-based morphometric analysis revealed cortical dedifferentiation and disrupted topology in MA dependence. These alterations suggested diminished segregation and efficiency, highlighting the potential of MIND-based morphometric networks as imaging biomarkers for addiction-related cortical reorganization.
		363-04-006. Amyloid Detection-Derived Analysis (ADDA): A QSM Framework for Quantification of Early Alzheimer’s Disease in Mice Jie Chen, Zhuoheng Liu, Xinyue Han, Hongbo Wu, Nataliya Tod, Juan Liu, Nian Wang University of Texas Southwestern Medical Center, Dallas, United States of America Impact: Our results highlight that the QSM-based ADDA framework provides a powerful imaging and analysis tool to visualize and quantify amyloid accumulation, offering interpretable biomarkers for early detection of AD.
		363-04-007. Impact of motion correction on detectability of inter-twin concordance in brain MRI Zihan Ning, Liane Dos Santos Canas, Claire Steves, Rebecca Thornley, Marc Modat, Yannick Brackenier, Philippa Bridgen, Pierluigi Di Cio, Inka Granlund, Lucy Billimoria, Jon Cleary, Anthony Price, Jo Hajnal King's College London, London, United Kingdom Impact: This work demonstrates that integrating motion correction into 3D MRI substantially improves image quality and reproducibility, enhancing sensitivity to true biological differences in twin studies. It supports more accurate, artifact-resilient neuroimaging for large-scale population and genetic research.
		363-04-008. Altered Morphometric Similarity and Rich-Club Networks in Parkinson’s Disease with Mild Cognitive Impairment Narayan Chaurasiya, Gaurav Nitin Rathi, Jessica K. Caldwell, Aaron Ritter, Zoltan Mari, Virendra Mishra University of Alabama at Birmingham, Birmingham, United States of America Impact: Our study highlights morphometric similarity and rich-club analysis as powerful tools to detect early structural network disruptions in PD-MCI. Findings may identify early predictive biomarkers for cognitive decline and guide network-targeted interventions in PD progression.
		363-04-009. Morphometric Analysis of the Pediatric Spinal Cord: Cross-Sectional Area, Rootlet anatomy, and Gray Matter Distribution Samuelle St-Onge, Katerina Krejci, Jan Valosek, Zahra Sadeghi Adl, Laura Krisa, Devon Middleton, Feroze Mohamed, Julien Cohen-Adad, Benjamin De Leener NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada Impact: This study establishes normative spinal cord morphometric data in children and adolescents (ages 6−17), providing essential references for age-related changes in the pediatric spinal cord. Our findings will help develop pediatric-specific image processing tools that better capture developmental changes.
		363-04-010. Sub-voxel Quantitative Susceptibility Mapping Differentiates Paramagnetic and Diamagnetic Alterations in PD and PD mimics Peng Liu, Junye Yao, Naying He, Fuhua Yan Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China Impact: This study provides a more sensitive imaging tool for the differentiation of Parkinson's disease from similar diseases, which may help clinicians make early and accurate diagnoses, guide patient treatment, and promote further research on the clinical application of QSM.
		363-04-011. Brain susceptibility mapping and association with brain chemistry in persons with HIV Em Triolo, Reza Abdavies, Lisa Blaskey, Xu Li, Elizabeth Lowenthal, Timothy Roberts, Ahmad Kanaan, William Short, Muhammad Saleh Children's Hospital of Philadelphia, Philadelphia, United States of America Impact: Brain susceptibility can reveal the impact of iron content on tissue integrity. This study found that older people with HIV have higher susceptibility values, and such higher susceptibility values were associated with lower glutamate.
		363-04-012. Longitudinal Assessment of Brain Iron Content after Neoadjuvant Chemotherapy in Breast Cancer using QSM 菁张, Yong Tan, Daihong Liu, Jiuquan Zhang, Yanglei Wu, Ting Yin Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, ChongQing, China Impact: Iron content changes measured by QSM may provide an objective basis for understanding the underlying mechanism of chemotherapy related cognitive impairment (CRCI).
		363-04-013. Altered Cerebral Oxygen Metabolism and Postoperative Recovery in Children with OSAHS: A TRUST MRI Study Yuchuan Fu, Weihao Yan, Lu Han, Zhihan Yan The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China Impact: This study demonstrates that CMRO2 holds promise as a new imaging biomarker for the diagnosis and therapeutic follow-up of OSAHS, offering strong scientific evidence for guiding early clinical intervention.
		363-04-014. Study of brain iron content in neonates with hyperbilirubinemia（NHB） based on Quantitative susceptibility Mapping (QSM). Xing Li, Yi Zhu the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, Shaanxi, Xi'an, China Impact: QSM emerges as a valuable tool for the precise quantification of brain iron content in neonates with NHB. This not only confirms the presence of neurotoxicity but also provides a method for diagnosing brain injuries in neonates affected by NHB.