We have made advances in conductivity mapping (CM) techniques: New Approaches for Phase-based Quantitative Conductivity Mapping in Noisy Images (A Karsa, U Katscher, B Bachrata, B Dymerska, S Robinson, K Shmueli) presented at the 2021 annual meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). Dr Karsa’s software implementation of these methods (
https://xip.uclb.com/product/MRI_conductivity(se abrirá en una nueva ventana)) has been downloaded several times despite the small international CM community.
We have developed methods to improve susceptibility mapping (SM) including a new phase unwrapping technique and a tilted acquisiton correction technique:
B Dymerska, K Eckstein, B Bachrata, B Siow, S Trattnig, K Shmueli, SD Robinson (2020). Phase unwrapping with a rapid open source minimum spanning tree algorithm (ROMEO). Magn Reson Med,
https://doi.org/10.1002/mrm.28563(se abrirá en una nueva ventana) highlighted here:
https://blog.ismrm.org/2021/03/26/reproducible-research-insights-with-barbara-dymerska-korbinian-eckstein-and-simon-robinson/(se abrirá en una nueva ventana).
O Kiersnowski, A Karsa, S Wastling, J Thornton, K Shmueli. The Effect of Oblique Image Acquisition on the Accuracy of Quantitative Susceptibility Mapping and a Robust Tilt Correction Method
https://doi.org/10.1101/2021.11.30.470544(se abrirá en una nueva ventana).
To achieve our aims, we plan to use an echo-planar imaging (EPI) sequence with Simultaneous Multi-Slice Acceleration and have shown that this has no effect on SM quality and accuracy. This work will be presented at the 2022 ISMRM: O Kiersnowski, P Fuchs, S Wastling, J Thornton, K Shmueli. Simultaneous Multi-Slice Acceleration of Multi-Echo EPI Provides Rapid and Accurate QSM.
We have participated in several inter-disciplinary collaborations, applying some of the SM techniques we have developed to gain insights into different brain diseases and pathologies. For example, our SM techniques, correlated with gene transcription maps have provided new insights into neurodegeneration in Parkinson’s disease i.e. we identified the profile of gene transcription in the healthy brain that underlies increased cortical magnetic susceptibility values in PD patients relative to controls. See, Thomas GEC, Zarkali A, Ryten M, Shmueli K, Gil-Martinez AL, Leyland LA, McColgan P, Acosta-Cabronero J, Lees AJ, Weil RS. Regional brain iron and gene expression provide insights into neurodegeneration in Parkinson's disease. Brain. 2021 Jul 28; 144(6):1787-1798.
https://doi.org/10.1093/brain/awab084(se abrirá en una nueva ventana).