Parallel imaging with wave encoded k-space trajectory can use most of the existing reconstruction methods such as SENSE, ESPIRiT and SPIRiT. However, these reconstruction methods are not suitable to reduced field-of-view (FOV) imaging scenario, where the imaging FOV is smaller than the object size, and severe aliasing artifacts remain in the reconstructed images. This work proposes to extend the existing reconstruction methods to treat the reduced FOV case, by accurately modeling and resolving the aliased components. Without increasing scan time, the artifact-free and full FOV images can be reconstructed by the proposed methods.
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