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Motion robust 4D-MRI sorting based on anatomic feature matching: A digital phantom simulation study
Zi Yang1, Lei Ren1,2, Fang-Fang Yin1,2
1Medical Physics Graduate Program, Duke University, Durham, NC, USA.
Radiation Medicine and Protection
|October 17, 2022
Summary
This study introduces a new method for sorting 4D-MRI images using diaphragm motion to reduce artifacts. The technique significantly improves image quality in both cine and sequential scans, offering clearer medical imaging.
Area of Science:
- Medical imaging
- Image processing
- Radiology
Background:
- Motion artifacts from breathing are a common issue in 4D-MRI.
- Reducing these artifacts is crucial for accurate diagnosis and treatment planning.
Purpose of the Study:
- To develop a novel, robust 4D-MRI sorting method using anatomic feature matching.
- To reduce motion artifacts in both cine and sequential 4D-MRI acquisition modes.
Main Methods:
- A diaphragm-based anatomic feature matching approach was developed for sorting 4D-MRI images.
- Axial MRI images were sorted into 10 phases by matching diaphragm position to sagittal cine MRI ground truth.
- Reconstructed 4D-MRI accuracy was evaluated using the 4D XCAT digital phantom under regular and irregular breathing conditions.
Main Results:
- The method successfully reduced motion artifacts in reconstructed 4D-MRI images for both scanning modes.
- Averaged Total Relative Error (TRE) was 0.32% for regular breathing and 1.13% for irregular breathing.
- Volume-Percent-Difference (VPD) and Center-of-Mass-Shift (COMS) showed minimal deviations, indicating high accuracy.
Conclusions:
- The developed 4D-MRI sorting method based on anatomic feature matching is feasible and robust.
- This technique enhances image quality by reducing motion artifacts in both cine and sequential 4D-MRI acquisitions.
