Nikolai Rakhilin 1,2, Alexandru Korotcov1,2, Emma Wallace3, Gregory Homes-Hampton4, Anwar Ahmed5, Barbara Knollmann-Ritschel6, Maureen Hood1
1Department of Radiology and Bioengineering, Uniformed Services University of the Health Sciences, Bethesda, United States of America
2The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, United States of America
3The Catholic University of America, Washington DC, United States of America
4Armed Forces Radiobiology Research Institute,, Uniformed Services University of the Health Sciences, Bethesda, United States of America
5Department of Preventative Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, United States of America
6Department of Pathology, Uniformed Services University of the Health Sciences, Bethesda, United States of America
Presenting Author: Nikolai Rakhilin
Synopsis
Motivation:
Goals:
Approach:
Results:
Full abstract & presentation
The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.
Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.
To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.
1. Sepulveda MR, Dresselaers T, Vangheluwe P, Everaerts W, Himmelreich U, Mata AM, Wuytack F: Evaluation of manganese uptake and toxicity in mouse brain during continuous MnCl2 administration using osmotic pumps. Contrast Media Mol Imaging 2012, 7(4):426-434. doi:10.1002/cmmi.1469. PMID: 22649049. [doi][pmid]
2. Hood, M. N., Ayompe, E., Holmes-Hampton, G. P., Korotcov, A., Wuddie, K., Aschenake, Z., Ahmed, A. E., Creavalle, M., & Knollmann-Ritschel, B. (2024). Preliminary Promising Findings for Manganese Chloride as a Novel Radiation Countermeasure Against Acute Radiation Syndrome. Military Medicine, 189(Suppl 3), 598–607. doi:10.1093/milmed/usae198. PMID: 39160887. [doi][pmid]
3. Chan RW, et al. NOise Reduction with DIstribution Corrected (NORDIC) principal component analysis improves brain activity detection across rodent and human functional MRI contexts. Imaging Neurosci (Camb). 2024 Oct 24;2:1-18. doi:10.1162/imag_a_00325. PMID: 39463889 [doi][pmid]
4. V. Badrinarayanan, A. Kendall and R. Cipolla, "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 12, pp. 2481-2495, 1 Dec. 2017. doi:10.1109. PMID: 28060704. [pmid]
5. Cardoso, M. J., Li, W., Brown, R., et al. (2022). MONAI: An open-source framework for deep learning in healthcare. arXiv:2211.02701 doi:10.48550/arXiv.2211.02701 [doi]
6. Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973). Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, 3(6), 610–621 doi:10.1109/TSMC.1973.4309314 [doi]