667-01-012 ISMRM Abstract

An atlas-based age-dependent brain anomaly detector for NeuroMix patient data

Primary: Analysis Methods - Classification and Prediction

Secondary: Analysis Methods - Segmentation and Detection

667-01-012 · Innovations in Diffusion MRI: Systems, Sequences, and Protocol Design · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row H

Keywords: MRI Workflow optimzation MRI atlases Multimodal-MRI atlases Anomaly Detection Ultra-fast MRI

Accepted

Stefan Skare ^1,2, Sophie Schauman², Henric Rydén^1,2, Tim Sprenger³, Enrico Avventi^1,2, Adam van Niekerk², Ola Norbeck^1,2, Annika Kits¹, Anna Falk Delgado^1,2

¹Neuroradiology, Karolinska University Hospital, Stockholm, Sweden

²Clinical Neuroscience, Karolinska Institutet, Solna, Sweden

³GE Healthcare, Munich, Germany

Presenting Author: Stefan Skare

Synopsis

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References

1. Sprenger, T. et al. NeuroMix—A single‐scan brain exam. Magn. Reson. Med. (2021) doi:10.1002/mrm.29120 [doi]

2. Kits, A. et al. 2.5-minute fast brain MRI with multiple contrasts in acute ischemic stroke. Neuroradiology 66, 737–747 (2024) doi:10.1007/s00234-024-03331-0 [doi]

3. Bowles, C. et al. Brain lesion segmentation through image synthesis and outlier detection. NeuroImage Clin. 16, 643–658 (2017) doi:10.1016/j.nicl.2017.09.003 [doi]

4. Statistical Parametric Mapping. https://www.fil.ion.ucl.ac.uk/spm/ (2023)

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/667-01-012