ISMRM25 - Segmentation Newborn/Fetal Brain

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Segmentation Newborn/Fetal Brain

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Segmentation Newborn/Fetal Brain

Digital Poster

Pediatrics

Tuesday, 13 May 2025

Exhibition Hall

08:15 - 09:15

Session Number: D-187

No CME/CE Credit

		Computer Number: 145 2405. Real-time scanner-based automated fetal weight estimation and volumetry reporting in fetal MRI View Presentation Video S. Neves Silva, A. Uus, S. McElroy, W. Norman, K. St Clair, J. Aviles Verdera, S. Bansal, H. Waheed, J. Matthew, D. Lloyd, J. Hajnal, L. Story, M. Rutherford, J. Hutter King's College London, London, United Kingdom Impact: Real-time fetal weight estimation and volumetry using AI on the scanner enables faster and more individual fetal MRI - hence paving the way for enhanced antenatal diagnosis.
		Computer Number: 146 2406. Integrating 3D distortion correction in 3D deformable slice-to-volume reconstruction of the whole uterus and pelvis for 0.55T T2w fetal MRI View Presentation Video A. Uus, S. McElroy, A. Price, J. Aviles Verdera, S. Neves Silva, S. Bansal, K. St Clair, M. Deprez, V. Kyriakopoulou, L. Story, K. Colford, J. Hutter, M. Rutherford, J. Hajnal King's College London, London, United Kingdom Impact: This pipeline could be potentially useful for various projects working on analysis of 3D large ROI datasets.
		Computer Number: 147 2407. Normative volumetry growth models for the fetus, placenta and amniotic fluid for 3D 3T T2w fetal MRI during 16 – 40 weeks GA range View Presentation Video A. Uus, M. Hall, A. Egloff Collado, C. Avena Zampieri, C. Bradshaw, M. Deprez, J. Matthew, K. Colford, J. Hajnal, M. Rutherford, J. Hutter, L. Story King’s College London, London, United Kingdom Impact: These models and segmentation network could be potentially used in other research studies for normalisation of fetal organ volumetry.
		Computer Number: 148 2408. The hidden link between cerebral white matter development and somatic height growth View Presentation Video J. Chad, C. Lebel Baycrest Academy for Research and Education, Toronto, Canada Impact: This work challenges the interpretation of WM developmental trajectories as reflecting insular monotonic growth. Instead, WM development appears to comprise not only WM growth but also WM pruning that allocates energy for somatic growth.
		Computer Number: 149 2409. Clinically Integrated MRI-QSM Analysis & Reporting System to Establish Brain Tissue Iron Levels in Pediatrics View Presentation Video H. Zamanian, E. Doyle, J. Wood, B. Tamrazi, M. Borzage, S. Erberich Children's Hospital Los Angeles, Los Angeles, United States Impact: We developed an image processing orchestration system that automates the identification, processing, and reporting of QSM MRI data into PACS.
		Computer Number: 150 2410. Improving Basal Ganglia Segmentation in Neonatal Brain for Dilated Perivascular Space Assessment Using Soft Labels View Presentation Video D. Bak, J. Kang, Y. Nam, H. G. Kim Hankuk University of Foreign Studies, Yongin, Korea, Republic of Impact: The proposed soft label-based segmentation method improves basal ganglia segmentation performance in low-contrast neonatal MR images compared to conventional hard label-based methods. The proposed method could be beneficial for perivascular space assessment in neonatal populations.
		Computer Number: 151 2411. Differences in Early Brain Structure Between Infants with Normal and Abnormal Prognosis in External Hydrocephalus View Presentation Video h. zhao, y. sun, y. yin, x. li, m. wang, c. liu, j. yang, c. jin 1.Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi’an, China 2.Shaanxi Engineering Research Center of Computational Imaging and Medical Intelligence, Xi’an, China 3.Xi’an Key Laboratory of Medical Computational Imaging, Xi’an, China, Xi’an, China Impact: Early MRI detection of cortical differences in EH infants can guide interventions to prevent developmental delays.
		Computer Number: 152 2412. Comprehensive Multi-Modal MRI Templates of the Infant Brain: A Foundational Resource for Early Developing Brain Studies View Presentation Video R. Li, R. Lin, S. Mophapatra, F. Wu, W. Wu, T. Zhu, C. E. Li, S. Tan, K. Sindabizera, M. Ouyang, H. Huang Children's Hospital of Philadelphia, Philadelphia, United States Impact: The established foundational resource for infant brain research offers dense and age-specific multi-modal MRI templates. This resource empowers researchers to conduct precise neuroimaging analyses of infants, unlocking insights into brain structure, function, and connectivity in both health and disease.
		Computer Number: 153 2413. MRI brain volumetric analysis of type II GM1 gangliosidosis patients treated with gene therapy View Presentation Video M. S. Shazeeb, C. Zoppo, J. Kolstad, J. Johnston, P. D'Souza, A. Kuhn, Z. Vardar, A. Peker, A. Hader, R. King, H. Celik, C. Lewis, C. Lindsay, Z. Rentiya, C. Lebel, S. Vedantham, B. Vachha, M. Acosta, H. GrayEdwards, C. Tifft University of Massachusetts Chan Medical School, Worcester, United States Impact: Our study addressed the need for quantitative neural biomarkers in type II GM1 gangliosidosis which correlated with clinical markers. Through longitudinal brain volumetric analysis using MRI, we demonstrated the efficacy of gene therapy in monitoring disease progression/regression in GM1 patients.
		Computer Number: 154 2414. Automatic Lateral Ventricle and Choroid Plexus Segmentation method in infant brain MR images View Presentation Video J. Kang, H. G. Kim, Y. Nam Hankuk university of Foreign Studies, Yongin-si, Korea, Republic of Impact: Our CP and LV segmentation method provides improved performance in infant MRI , demonstrating the potential for more robust quantitative analysis in the infant population. This could help to explore the relationship between glymphatic functions and the early stage of neurodevelopment.
		Computer Number: 155 2415. Investigating cortical thickness in children on ultra-low-field and high-field MRI View Presentation Video C. Wedderburn, N. Bourke, L. Bradford, J. Ringshaw, T. Malaba, H. Theunissen, S. Williams, L. Davel, J. Read, H. Reynolds, N. He, A. Colbers, D. Wang, S. Khoo, L. Myer, K. Donald University of Cape Town, Cape Town, South Africa Impact: Paediatric cortical thickness measurements may be obtained using ultra-low-field MRI that correspond with high-field MRI and improve with scan quality. Further work is needed to advance ultra-low-field acquisition and processing pipelines to optimise cortical thickness and assess other cortical metrics.
		Computer Number: 156 2416. Hippocampal morphometry is altered in children with congenital heart disease View Presentation Video B. Gal-Er, A. Bonthrone, M. van der Meijden, A. Chew, C. Casella, Y. Brackenier, M. Cleri, P. Di Cio, A. Elgoff, K. Pushparajah, J. Simpson, M. Rutherford, A. D. Edwards, S. Malik, L. Cordero-Grande, J. Hajnal, C. Nosarti, J. O’Muircheartaigh, S. Counsell King's College London, London, United Kingdom Impact: This study extends previous work showing reduced hippocampal volume in this population by identifying reduced hippocampal gyrification and subfield volume in children with CHD. Altered hippocampal development may be a key determinant of neurodevelopmental impairments observed in children with CHD.
		Computer Number: 157 2417. Diagnostic value of accurately MRI adenohypophyseal volume in evaluation of HPG axis activation in pre- and at-puberty children L. Qin, W. Liu, L. Dong Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China Impact: aPV and aPH demonstrated potential diagnostic value in assessing HPG-axis initiation status. The multiple linear regression equations incorporating age, weight and adenohypophysis volume showed promise for predicting LH peak and LH/FSH ratio, providing insights into non-invasive methods for assessing precocity.
		Computer Number: 158 2418. Impact of AI Acceleration on Image Quality and Diagnostic Quality in Clinical Paediatric Neuroimaging View Presentation Video T. McGeown, J. Cleary, S. Kafiabadi, N. Adroja, N. Mellor, T. Moon, C. O'Brien, S. Shah King's College Hospital NHS Foundation Trust, London, United Kingdom Impact: Accelerated imaging techniques can be used to significantly reduce scan times in paediatric brain imaging whilst maintaining image quality, supporting confident clinical deployment.
		Computer Number: 159 2419. Association of T1WI Abnormality with the Interval between MRI and Measurement of Bilirubin Level Peak on Hyperbilirubinemia Neonates View Presentation Video R. Wang, H. Tian, Z. Ren, K. Zhang, X. Li, X. Zheng, X. Li Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China Impact: Abnormal T1WI signal changes in basal ganglia nuclei of hyperbilirubinemic neonates vary with MRI timing. This insight aids clinicians to avoid performing MRI scans on subjects when the time is suboptimal, which may lead to false negative results on T1WI.
		Computer Number: 160 2420. MiniMORPH: A Morphometry Pipeline for Low-Field MRI in Infants View Presentation Video C. Casella, N. Bourke, A. Leknes, A. Zahra, D. Scheiene, R. Macleod, J. Cole, F. Biondo, M. Zabihi, V. Nankabirwa, K. Donald, M. Bruchhage, J. O'Muircheartaigh King's College London, London, United Kingdom Impact: We provide a scalable, open-source solution for segmentation of ULF MRI infant data, unlocking new possibilities for assessing neurodevelopment in diverse settings.

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