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Clinically Feasible White Matter Fiber Tractography in Peritumoral Zones With Cerebral Vasogenic Edema.

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Title: Clinically Feasible White Matter Fiber Tractography in Peritumoral Zones With Cerebral Vasogenic Edema.
Authors: Filipiak, Patryk1 (AUTHOR) patryk.filipiak@nyulangone.org, Shepherd, Timothy M.1 (AUTHOR), Clarke, Kamri1 (AUTHOR), Ressa, Gaia1,2 (AUTHOR), Placantonakis, Dimitris G.3 (AUTHOR), Boada, Fernando E.4 (AUTHOR), Baete, Steven H.1 (AUTHOR)
Source: Magnetic Resonance in Medicine. Jul2026, Vol. 96 Issue 1, p287-301. 15p.
Subjects: Edema, Gliomas, Neurosurgery, Diffusion magnetic resonance imaging, Functional magnetic resonance imaging, Diffusion tensor imaging
Abstract: Purpose: In diffusion MRI, vasogenic edema manifests as a major fraction of isotropic water that dilutes the anisotropic intra‐axonal portion of the signal. Many tractography algorithms mistake vasogenic edema for the white matter boundary and terminate tracking to prevent producing spurious streamlines. As a result, visual representations of fascicles traversing edema are often compromised, limiting the clinical utility of tractography. Methods: We address this hurdle with ODF‐Fingerprinting (ODF‐FP)—a dictionary‐based fiber reconstruction algorithm that accommodates variability of neural tissue. By adding a regularization term to the ODF‐FP matching formula, we counterbalance the drop of diffusion anisotropy in edematous regions to improve white matter fiber identification. In 19 glioma cases with significant peritumoral vasogenic edema, we quantify the volume of the reconstructed white matter tracts immersed in edema, then we use the cortical regions activated during task‐based functional MRI as validation for tractography. To assess the potential for clinical translation, we additionally test the performance of ODF‐FP on subsampled single‐shell diffusion‐weighted images, which contemporary clinical scanners can acquire within a few minutes. Results: Our approach produces high volumes of streamlines traversing vasogenic edema and reaches high overlap with the cortical regions activated at task‐based fMRI, significantly outperforming common fiber reconstruction methods in the clinically feasible data set. Conclusion: ODF‐FP proves effective on research and clinical quality dMRI, which offers an opportunity for application in neurosurgery. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:Purpose: In diffusion MRI, vasogenic edema manifests as a major fraction of isotropic water that dilutes the anisotropic intra‐axonal portion of the signal. Many tractography algorithms mistake vasogenic edema for the white matter boundary and terminate tracking to prevent producing spurious streamlines. As a result, visual representations of fascicles traversing edema are often compromised, limiting the clinical utility of tractography. Methods: We address this hurdle with ODF‐Fingerprinting (ODF‐FP)—a dictionary‐based fiber reconstruction algorithm that accommodates variability of neural tissue. By adding a regularization term to the ODF‐FP matching formula, we counterbalance the drop of diffusion anisotropy in edematous regions to improve white matter fiber identification. In 19 glioma cases with significant peritumoral vasogenic edema, we quantify the volume of the reconstructed white matter tracts immersed in edema, then we use the cortical regions activated during task‐based functional MRI as validation for tractography. To assess the potential for clinical translation, we additionally test the performance of ODF‐FP on subsampled single‐shell diffusion‐weighted images, which contemporary clinical scanners can acquire within a few minutes. Results: Our approach produces high volumes of streamlines traversing vasogenic edema and reaches high overlap with the cortical regions activated at task‐based fMRI, significantly outperforming common fiber reconstruction methods in the clinically feasible data set. Conclusion: ODF‐FP proves effective on research and clinical quality dMRI, which offers an opportunity for application in neurosurgery. [ABSTRACT FROM AUTHOR]
ISSN:07403194
DOI:10.1002/mrm.70314