Combined Update Using Grouped Isochromats for Fast Bloch Simulation

Motivation: Computational cost of the Bloch simulation was high. Goal(s): This research aims to reduce the computational cost. Approach: A new computation method using grouped isochromats is proposed. The proposed method shared computation of the isochromats whose parameters were same for each part of gradients. The processing time of two sequences were evaluated using a phantom (consisting of approximately 4 million isochromats) with and without the proposed method. Results: The proposed method accelerated the simulation up to 7.7 times. Impact: The proposed method accelerated up to 7.7 times for simulating the Bloch equations. The proposed method shared computation of the isochromats whose parameters were same for each part of gradients.