Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - MR-Based Quantitative Image and Image Processing

MR-Based Quantitative Image and Image Processing

Digital Poster

Analysis Methods

Tuesday, 12 May 2026

Digital Posters Row E

16:00 - 16:55

Session Number: 464-05

No CME/CE Credit

Similar Sessions

This session covers general image processing and analysis topics related to Quantitative Imaging.

Skill Level: Basic

		464-05-001. Real-World Evidence from 80,000+ Whole-Body MRIs: Application of a Clinically Significant Diagnosis Scale Madhurima Datta, Yosef Chodakiewitz, Rodrigo Solis Pompa, Pratik Shingru, Vikash Modi, Amar Patel, Giuliana Zaccardelli, Daniel Durand, Alex Exuzides Prenuvo, Inc, San Francisco, United States of America Impact: We present a novel structured framework for interpreting screening whole-body MRI, showing that only 5% of findings directly warrant further diagnostic work-up, reducing unnecessary follow-up and enabling efficient, evidence-based use of MRI in preventive health assessment.
		464-05-002. Assessment of Regional Lung Function in Patients with Localized Nodules Using PREFUL MRI and Histogram Analysis Qing Fu, Ting Yin, Yan-ling Ma, Robert Grimm, Xiang-chuang Kong Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China Impact: Mean PREFUL-derived parameters exhibited limited correlation with global pulmonary function tests (PFTs) metrics, but regional heterogeneity, as quantified by histogram metrics, may serve as a sensitive imaging biomarker of early or localized functional abnormalities that traditional PFTs fail to detect.
		464-05-003. Brain segmentation in alcohol-exposed neonates: a comparison of BabySeg to Infant FreeSurfer and manual tracing Fleur Warton, Frances Robertson, R Carter, Andre van der Kouwe, Lilla Zöllei, Neil Dodge, Joseph Jacobson, Sandra Jacobson, Ernesta Meintjes Biomedical Engineering Research Centre, Division of Biomedical Engineering, Department of Human Biology, University of Cape Town, Cape Town, South Africa Impact: This work shows that BabySeg improves on IFS for segmentation of subcortical brain structures in neonates, approaching the reliability of manual tracing, and supports its use in large-scale studies of neonatal brain morphometry.
		464-05-004. Generating cervical cancer probability maps with restriction spectrum imaging and machine learning Cassandra Stoffer, Lance Moore, Sheida Ebrahimi, Cora Chun, Jacqueline Loh, Allison Bang, Tyler Seibert, Elise Roeca, Jyoti Mayadev, Michael McHale, Jingjing Zou, Ana Rodríguez-Soto, Rebecca Rakow-Penner University of California, San Diego, La Jolla, CA, United States of America, United States of America Impact: Restriction spectrum imaging (RSI) offers a quantitative metric for evaluating cancer location and stage. RSI-based cervical cancer probability maps offer a clinically feasible method of integrating the biophysical information of cancer provided by RSI into radiologists’ workflow.
		464-05-005. MR imaging-based comparative study on four methods of the classification of anal fistulae Xiaoyan Li, Baoping Zhao, Xiuxiu Yan, Chenchen Han, Zhao Wang, Lu Gao, Pang Du Xi'an Daxing Hospital affiliated to Yan'an University, Xi'An, China Impact: This study transforms advanced MRI technology into actionable clinical intelligence. It guides doctors to select the classification that best reveals the complexity of the fistula based on its characteristics, in order to tailor the best surgical plan for each patient.
		464-05-006. Attention-Enhanced Few-Shot 3D U-Net for Infant Brain MRI Segmentation Zaheer Abbas, Faizan ULLAH, Sergo Gegechkori, N. Jon Shah INM-4, Forschungszentrum Jülich, Jülich, Germany Impact: This work introduces a few-shot 3D segmentation framework tailored for infant brain MRI, combining attention mechanisms with episodic training. It delivers accurate tissue delineation from minimal annotations, lowering labelling burden and supporting early diagnosis in paediatric neuroimaging.
		464-05-007. Hemodynamic 4D flow MRI atlas identifies regional flow changes in ischemic heart disease Federica Viola, Merih Cibis, Carl-Johan Carlhäll, Ann Bolger, Jan Engvall, Tino Ebbers Linköping University, Linköping, Sweden Impact: Hemodynamic 4D flow MRI atlases may promote broader understanding of cardiovascular diseases by allowing automated regional, time-resolved comparisons.
		464-05-008. Evaluating Region- and Age-Dependent Performance of Frangi Vesselness Filtering for Perivascular Space Segmentation Ho-Ching Yang, Aibo Wang, Steven Broglio, Michael McCrea, Thomas McAllister, Yu-Chien Wu Indiana University School of Medicine, Indianapolis, United States of America Impact: PVS intrinsic morphology may modulate the performance of Frangi-derived segmentation.
		464-05-009. Contrast-Free Assessment of Lung Ventilation and Perfusion in Dilated Cardiomyopathy via PREFUL MRI Wenliang Fan, Peng Sun Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China Impact: PREFUL MRI offers a robust and noninvasive method to evaluate pulmonary ventilation and perfusion abnormalities in patients with DCM. This approach enhances our understanding of cardiopulmonary coupling and may serve as a sensitive imaging biomarker for disease severity and therapeutic monitoring.
		464-05-010. Assessing Connective Tissue Disease-Associated Interstitial Lung Disease with Free-Breathing 3T 3D Ultrashort Echo Time MRI Huiqiong Luo, Kai Li, Hao dong Qin, Bernd Kuehn The First Affiliated Hospital of Guangxi Medical University,, Nanning, China Impact: This study supports free-breathing 3T UTE MRI as a potential radiation-free alternative to high-resolution CT for connective tissue disease-associated interstitial lung disease monitoring. This could transform patient follow-up by eliminating cumulative radiation risk, enabling safer long-term and repeatable surveillance.
		464-05-011. Single-subject atlas-based lung and lobe segmentation from 3D low-field MRI Carlos Valle, Javier Castro, Matias Hernández, Rodrigo Salas, Jaime Retamal, Ignacio Celis, Marcelo Andia, Cecilia Besa iHEALTH, Millennium Institute for Intelligent Healthcare Engineering, Chile Impact: Low-field 0.55T MRI combined with single-subject atlas-based segmentation enables radiation-free, scalable lung and lobe analysis from minimal data, facilitating accessible regional pulmonary assessment and longitudinal monitoring in data-scarse settings for clinical research and routine follow-up care globally.
		464-05-012. The role of pelvic magnetic resonance imaging in pretreatment staging of patients with cervical cancer Jonas Masaka, Lilian Salingwa, Anganile Kalinga, Amie Lee, Helena Machibya Muhimbili University of Health and Allied sciences, Dar Es Salaam, Tanzania Impact: Pelvic MRI significantly enhances cervical cancer staging accuracy by detecting tumor extent and nodal involvement, enabling better treatment planning and prognostication. The findings support MRI integration into standard staging protocols and encourage research on cost-effective implementation in low-resource settings
		464-05-013. MRI and Pathology-Based Predictors of Distant Metastasis in Soft Tissue Sarcoma: A Multi-Parameter Assessment Approach Shaobo Fang, Manxia Huang, Meiyun Wang Henan Provincial People's Hospital, Zhengzhou, China Impact: Integrating MRI biomarkers (ADC, Ktrans) with histologic grade enables early, noninvasive prediction of metastasis risk in soft tissue sarcoma. This approach supports individualized therapy, improved surveillance strategies, and future research on imaging-based prognostic models for metastatic potential and treatment response.
		464-05-014. Longitudinal evolution of MR findings following vascularized lymph node transplantation for lymphedema Charissa Kim, Qianhui Dou, Mahmoud Odeh, Madeleine Givant, Alivia Jachimiak, Katja De Paepe, Angie Sohn, Christopher Bridge, Dhruv Singhal, Leo Tsai Beth Israel Deaconess Medical Center, Boston, United States of America Impact: This study uses MRI to visualize how lymphedema longitudinally evolves after VLNT. It elucidates imaging markers that are relevant at longer follow-up time points. Our findings can also be correlated with clinical markers such as Lymphoedema Quality-of-Life scores and bioimpedance.
		464-05-015. MRI-Based Radiomics Model for Predicting Axillary Lymph Node Burden and Disease-Free Survival in Early-Stage Breast Cancer Yulan Tong, Jiejie Zhou, Meihao Wang, Min-Ying Su The First Affiliated Hospital of Wenzhou Medical University, WenZhou, China Impact: ALN burden, defined as the number of metastatic ALNs, constitutes a significant prognostic determinant in BC patient. Accurate preoperative prediction of ALN burden is essential for informed treatment decision-making, which can provide sufficient disease control while avoiding overtreatment.
		464-05-016. Accelerating Capacity for ASL Imaging in Low Resource Settings: Optimizing Multi-PLD ASL For CBF Quantification in Africa Harrison Aduluwa, Channelle Tham, Victor Eze-Chukwuebuka, Rachael Aninwigwe, Danny Wang, Cristian Montalba, Surendra Maharjan, Francis Botwe, Abderrazek Zeraii, Maruf Adewole, Mahmoud Mania, Chinedu Udeh-Momoh, Toyobo Oluyemisi, Fatade Abiodun, Matthias Fridreich, Chinedum Anosike, Anyanwu Benjamin, Udunna Anazodo Montreal Neurological Institute, McGill University, Montreal, Canada Impact: We optimized and implemented Arterial spin labeling (ASL) techniques in Africa that can advance perfusion MRI equity in resource constrained settings (RCSs), enabling non-invasive CBF assessment for neurological diagnostics through scalable skills training and capacity building initiatives.