563-03-014 ISMRM Abstract

Imaging Microstructural Environment in Patients with Brain Metastasis and Meningioma: Preliminary Findings from SANDI

Primary: Neuro - Tumors

Secondary: Diffusion - Microstructure

563-03-014 · Image Classification for Brain Cancer · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row D

Keywords: Microstructural imaging Brain tumor 3T MRI SANDI model

Accepted

Sang-Young Kim ¹, Eunju Kim¹, Jinwoo Hwang¹, Eung Yeop Kim², Sung Tae Kim², Beomseok Sohn²

¹Clinical Science, Philips Korea, Seoul, Korea, Republic of

²Radiology, Samsung Medical Center, Seoul, Korea, Republic of

Presenting Author: Sang-Young Kim

Synopsis

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References

1. Palombo et al., SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. NeuroImage 2020:215;116835 doi: 10.1016/j.neuroimage.2020.116835 [doi]

2. lanus et al., Soma and Neurite Density Imaging (SANDI) characterizes microscopic differences between two glioma mouse model subtypes. ISMRM 2023 (#0268)

3. Fadnavis et al., Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning. arXiv 2011.01355 https://doi.org/10.48550/arXiv.2011.01355 [doi]

4. Daducci et al., Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data. NeuroImage 2015;105:32-44. doi: 10.1016/j.neuroimage.2014.10.026 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/563-03-014