Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
470-03-096 ISMRM Abstract

Validating Automatic Arcuate Fasciculus Segmentation in Routine Clinical Data for Neurosurgery Planning

Primary: Diffusion - Tractography
Secondary: Diffusion - Diffusion Analysis & Visualization
470-03-096 · Diffusion: Tractography Methods · Tuesday, 12 May, 9:15 AM–10:10 AM · Traditional Posters | Exhibition Hall
Keywords: Tractography Automated segmentation Diffusion Tensor Imaging (DTI) Arcuate Fasciculus Neurosurgical Planning
Accepted
Hohana G Konell 1, Maria F Martins1, Antonio C dos Santos2, Carlos Salmon1,2
1Inbrain lab, Faculty of Philosophy, Sciences and Letters of Ribeirao Preto, University of Sao Paulo, Ribeirão Preto, Brazil, Brazil
2Department of Medical Imaging, Hematology and Clinical Oncology – FMRP – USP, Sao Paolo, Brazil
Presenting Author: Hohana G Konell

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References

1. Shao ZD, Gong YJ, Ren J, Wang J. Exploring the arcuate fasciculus from a clinical perspective. Front Neurosci. 2023;17:1307834. doi:10.3389/fnins.2023.1307834. [doi]
2. Dionísio FCF, Oliveira LS, Hernandes MA, Engel EE, Mazzoncini de Azevedo-Marques P, Nogueira-Barbosa MH. Manual versus semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging: evaluation of similarity and comparison of segmentation times. Radiol Bras. 2021;54(3):155-164. doi:10.1590/0100-3984.2020.0028. [doi]
3. Andica C, Kamagata K, Aoki S. Automated three-dimensional major white matter bundle segmentation using diffusion magnetic resonance imaging. Anat Sci Int. 2023 Apr;98(3):318–36. doi: 10.1007/s12565-023-00715-9 [doi]
4. Tournier JD, Smith RE, Raffelt D, Tabbara R, Dhollander T, Pietsch M, Christiaens D, Jeurissen B, Yeh C-H, Connelly A. MRtrix3: a fast, flexible and open software framework for medical image processing and visualization. NeuroImage. 2019;202:116137. doi:10.1016/j.neuroimage.2019.116137. [doi]
5. Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. FSL. NeuroImage. 2012;62:782-790. doi: 10.1016/j.neuroimage.2011.09.015 [doi]
6. Tustison NJ, Avants BB, Cook PA, Zheng Y, Egan A, Yushkevich PA, Gee JC. N4ITK: improved N3 bias correction. IEEE Trans Med Imaging. 2010 Jun;29(6):1310-1320. doi:10.1109/TMI.2010.2046908. [doi]
7. Wasserthal J, Neher P, Maier-Hein KH. TractSeg – Fast and accurate white matter tract segmentation. NeuroImage. 2018;183:239-253. https://doi.org/10.1016/j.neuroimage.2018.07.070 [doi]

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http://echo.ismrm.org/p/ISMRM2026/470-03-096