- Poster presentation
- Open Access
Image-based 3D non-rigid respiratory motion correction for free-breathing thoracic MR angiography
© Han et al. 2016
- Published: 27 January 2016
- Motion Vector
- Motion Vector Field
- Respiratory Motion Correction
- Respiratory Motion Compensation
Respiratory motion compensation is usually required in free-breathing thoracic MR imaging applications to remove the motion induced blur and ghosting artifacts. Most respiratory motion compensation techniques are based on gating in which data is acquired only at one respiratory state (RS) and therefore suffer from extended yet unpredictable scan time. Other techniques compensate for motion by correcting the phase of motion corrupted k-space data so that data acquired in multiple respiratory states can be used in reconstruction for improved scan efficiency. However, these methods are often limited to correcting rigid-body motion and thus not suitable for thoracic imaging with large field-of-view. In this work, we propose a technical strategy of correcting 3D non-rigid motion and apply it to ferumoxytol enhanced free-breathing thoracic MRA.
The proposed method was applied on a ferumoxytol-enhanced free-breathing thoracic MRA dataset acquired on a 1 year old patient under general anesthesia with mechanical ventilation. The data was retrospectively binned into 2 RS using airway pressure signal. The kspace under-sampling rate of each bin was 12X. Other scan parameters includes: matrix = 500 × 240 × 120; 1mm3 resolution; 6 cardiac phases; TA = 6 min. Image registration was performed using Elastix toolbox. Images were reconstructed using ESPIRiT.
The motion corrected image has higher SNR (blood pool: 25.4 vs 14.5) than the ones reconstructed from single RS because double amount of kspace data was used. When compared with the images from uncorrected 2 RS, vascular and cardiac structures in the chest and abdomen are better defined in the motion corrected images. (Fig. 1)
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