562-04-013 ISMRM Abstract

Automated Segmentation of Pediatric Hippocampal and Basal Ganglia Structures in Ultra-Low-Field Magnetic Resonance Images

Primary: Analysis Methods - Segmentation and Detection

Secondary: Pediatrics - Neuro

562-04-013 · AI/DL in Pediatrics · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row C

Keywords: Segmentation Ultra-Low-Field MRI Pediatric brain MRI

Accepted

Toufiq Musah ¹, Philip E Nkwam², Ajay Sharma³

¹Department of Computer Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

²College Of Medicine University of Lagos, Nigeria

³Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, United States of America

Presenting Author: Toufiq Musah

Synopsis

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References

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4. Jacob, F.D., Habas, P.A., Kim, K., Corbett-Detig, J., Xu, D., Studholme, C., Glenn, O.A.: Fetal hippocampal development: analysis by magnetic resonance imaging volumetry. Pediatric research 69(5), 425–429 (2011)

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6. Kim, H., Seo, J., Ryu, S., Park, J.h., On, S., Choi, J.: Axis-guided quality assessment and multi-label hippocampal and ventricular segmentation in low-resolution pediatric brain mri. In: MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, pp. 53–62. Springer Nature Switzerland Cham (2024)

7. Lin, T.Y., Goyal, P., Girshick, R., He, K., Dollár, P.: Focal loss for dense object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 42(2), 318–327 (2020)

8. Roy, S., Koehler, G., Ulrich, C., Baumgartner, M., Petersen, J., Isensee, F., Jaeger, P.F., Maier-Hein, K.H.: Mednext: transformer-driven scaling of convnets for medical image segmentation. In:International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 405–415. Springer (2023)

9. Tapp, A., Zhao, C., Roth, H.R., Tanedo, J., Anwar, S.M., Bourke, N.J., Hajnal, J., Nankabirwa, V., Deoni, S., Lepore, N., et al.: Super-field mri synthesis for infant brains enhanced by dual channel latent diffusion. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 444–454. Springer (2024)

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/562-04-013