Detail publikačního výsledku

Automatic multi-contrast spinal nerve rootlets segmentation to study spinal-vertebral level correspondence

KREJČÍ, K.; CHMELÍK, J.; BÉDARD, S.; EIPPERT, F.; HORN, U.; COHEN-ADAD, J., VALOŠEK, J.

Originální název

Automatic multi-contrast spinal nerve rootlets segmentation to study spinal-vertebral level correspondence

Anglický název

Automatic multi-contrast spinal nerve rootlets segmentation to study spinal-vertebral level correspondence

Druh

Abstrakt

Originální abstrakt

MRI images allow identification of spinal nerve rootlets and intervertebral discs (IVDs), which can be used to determine spinal and vertebral levels, respectively [1, 2]. Spinal rootlets are relevant for functional MRI group analyses [3, 4] and neuromodulation therapy [5]; however, their applicability is impacted by considerable variability in spinal and vertebral levels across individuals [2, 6]. A method for automatic rootlet segmentation was proposed [1], but it is limited to a single contrast and dorsal rootlets only. In this work, we developed a model to segment dorsal and ventral C2–T1 rootlets from MP2RAGE and T2w MRI data. Then the model was used to explore the correspondence between spinal and vertebral levels.

Anglický abstrakt

MRI images allow identification of spinal nerve rootlets and intervertebral discs (IVDs), which can be used to determine spinal and vertebral levels, respectively [1, 2]. Spinal rootlets are relevant for functional MRI group analyses [3, 4] and neuromodulation therapy [5]; however, their applicability is impacted by considerable variability in spinal and vertebral levels across individuals [2, 6]. A method for automatic rootlet segmentation was proposed [1], but it is limited to a single contrast and dorsal rootlets only. In this work, we developed a model to segment dorsal and ventral C2–T1 rootlets from MP2RAGE and T2w MRI data. Then the model was used to explore the correspondence between spinal and vertebral levels.

Klíčová slova

Spinal nerve rootlets, Spinal Cord, Segmentation, Deep learning

Klíčová slova v angličtině

Spinal nerve rootlets, Spinal Cord, Segmentation, Deep learning

Autoři

KREJČÍ, K.; CHMELÍK, J.; BÉDARD, S.; EIPPERT, F.; HORN, U.; COHEN-ADAD, J., VALOŠEK, J.

Vydáno

29.09.2025

Nakladatel

Magn Reson Mater Phy

Kniha

Book of Abstracts ESMRMB 2025 Online 41st Annual Scientific Meeting 8–11 October 2025.

Strany od

455

Strany do

457

Strany počet

3

BibTex

@misc{BUT199809,
  author="Kateřina {Krejčí} and Jiří {Chmelík} and  {} and  {} and  {} and  {} and  {}",
  title="Automatic multi-contrast spinal nerve rootlets segmentation to study spinal-vertebral level correspondence",
  booktitle="Book of Abstracts ESMRMB 2025 Online 41st Annual Scientific Meeting 8–11 October 2025.",
  year="2025",
  pages="3",
  publisher="Magn Reson Mater Phy",
  doi="10.1007/s10334-025-01278-8",
  note="Abstract"
}