Bianka Rumi’s scientific contributions

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Publications (2)


Automatic position and shape optimization of flexible TMS coils to improve coil placement during electric field simulations
  • Article

January 2025

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4 Reads

Brain Stimulation

Bianka Rumi

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Torge Worbs

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Figure 3: A) Coil-scalp distances before and after optimization. The distance is calculated as the mean distance between the pre-defined sets of positions on the coil casings and their nearest scalp position for each subject. B) Maximally occurring intersections of the coil with the head before and after distance optimization. Signed distances are reported, with negative values indicating intersections, and positive values the minimal distance between coil casing and scalp in case of no intersections. Specifically, for each individual optimization result, the minimal value of the signed distances between the scalp and any of the predefined positions on the coil casing is shown. This corresponds to the deepest intersection or, in case no intersection occurred, positive values indicate the minimal distance between coil casing
Figure 5: Results of the optimization of the mean electric field strength in the handknob ROI for the MagVenture Cool-B65 coil. The differences of the mean electric field magnitudes in the ROI obtained by our optimization approach versus a grid search are shown. A) Comparison to results of a "coarse"
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Personalized electric field simulations of deformable large TMS coils based on automatic position and shape optimization
  • Preprint
  • File available

December 2024

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36 Reads

Background: Transcranial Magnetic Stimulation (TMS) therapies use both focal and unfocal coil designs. Unfocal designs often employ bendable windings and moveable parts, making realistic simulations of their electric fields in inter-individually varying head sizes and shapes challenging. This hampers comparisons of the various coil designs and prevents sys-tematic evaluations of their dose-response relationships. Objective: Introduce and validate a novel method for optimizing the position and shape of flexible coils taking individual head anatomies into account. Evaluate the impact of realistic modeling of flexible coils on the electric field simulated in the brain. Methods: Accurate models of four coils (Brainsway H1, H4, H7; MagVenture MST-Twin) were derived from computed tomography data and mechanical measurements. A generic representation of coil deformations by concatenated linear transformations was introduced and validated. This served as basis for a principled approach to optimize the coil positions and shapes, and to optionally maximize the electric field strength in a region of interest (ROI). Results: For all four coil models, the new method achieved configurations that followed the scalp anatomy while robustly preventing coil-scalp intersections on N=1100 head models. In contrast, setting only the coil center positions without shape deformation regularly led to physically impossible configurations. This also affected the electric field calculated in the cortex, with a median peak difference of ~16%. In addition, the new method outperformed grid search-based optimization for maximizing the electric field of a standard figure 8 coil in a ROI with a comparable computational complexity. Conclusion: Our approach alleviates practical hurdles that so far hampered accurate simula-tions of bendable coils. This enables systematic comparison of dose-response relationships across the various coil designs employed in therapy.

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