The performance of magnetic resonance angiography (MRA) is affected by the acquisition strategies that are required to achieve a high-resolution scan during a short breath hold. Sampling artifacts (e.g., Gibb’s ringing that results from corner cutting in k-space) and parallel imaging artifacts (including reduced signal-to-noise performance) can degrade MRA’s diagnostic quality. Therefore, the purpose of this work is to investigate alternative sampling patterns, specifically the Controlled Aliasing In Parallel Imaging Results IN Higher Acceleration (CAIPIRINHA) sampling strategy. Using this approach, we aim to reduce Gibb’s ringing by eliminating corner cutting in the k-space sampling pattern, reducing parallel imaging artifacts, and improving signal-to-noise performance in MRA.
March 2017 to January 2019
This project led by: Scott K Nagle, MD, PhD