xvQSM: An Open-Source Artifact Mitigation Method for ex vivo Quantitative Susceptibility Mapping
Motivation: Ex vivo quantitative susceptibility mapping is motivated by artifacts in phantom or post-mortem reconstructions serving as gold standards for new methods. The nonlocal dipole deconvolution propagates artifacts and introduces error into these reconstructions, impeding the validation process. Goal(s): The presented pipeline is an open-source tool to mitigate artifacts in susceptibility reconstruction and subsequent processing such as source separation and myelin mapping. Approach: A numerical phantom and ex vivo brain tissues are reconstructed with the proposed method. Results: Artifact reduction is observed and high structural similarity is observed. Impact: The presented method mitigates ex vivo artifacts to increase confidence in validation. High structural similarity is observed from whole region of interest filtering and homogeneity regularization. This open-source pipeline improves source separation and potentially myelin mapping, and oxygen extraction fraction.
Authors
- Carly Skudin (ORCID: https://orcid.org/0000-0003-0845-4798)
- Alexandra H. Roberts (ORCID: https://orcid.org/0000-0003-4823-9718)
- İlhami Kovanlıkaya (ORCID: https://orcid.org/0000-0001-6339-9862)
- Hangwei Zhuang
- Kelly M. Gillen (ORCID: https://orcid.org/0000-0003-1319-4900)
- Mert Şişman (ORCID: https://orcid.org/0000-0003-0862-4478)
- Alexey Dimov (ORCID: https://orcid.org/0000-0003-0460-6635)
- Anmei Deng
- Pascal Spincemaille (ORCID: https://orcid.org/0000-0002-8821-1341)
- Yi Wang (ORCID: https://orcid.org/0000-0003-1404-8526)
- Thanh D. Nguyen (ORCID: https://orcid.org/0000-0002-1411-7694)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/3430
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00