B0 simulation in the heart based on thoracic CT images is a powerful tool to investigate cardiac B0 conditions in the general population for the development of an optimized cardiac B0 shimming strategy. Thoracic CT scans typically have a limited field of view posing a challenge to the accuracy of field simulations. Here we present a systematic analysis of errors introduced by B0 computations in the human heart from CT-based susceptibility distributions of limited field of view and present strategies to resemble B0 conditions in the human heart to achieve elevated accuracy with model-based addition of selected anatomical features.
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