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Partial-FOV reconstruction in dynamic spiral imaging.
H Sedarat1, A B Kerr, J M Pauly
1Department of Electrical Engineering, Stanford University, California, USA. sedarat@lad.stanford.edu
Magnetic Resonance in Medicine
|March 22, 2000
Summary
This study introduces a partial-field-of-view (FOV) reconstruction method for dynamic MR imaging. It enhances temporal resolution by filtering motion artifacts from static image data, improving dynamic MR imaging applications.
Area of Science:
- Medical Imaging
- Magnetic Resonance Imaging (MRI)
- Image Reconstruction
Background:
- Dynamic MR imaging often involves regions with significant temporal changes within a larger field-of-view (FOV).
- Reconstructing only the dynamic regions can reduce data requirements and improve temporal resolution.
- Prior knowledge of static image areas is crucial for accurate partial-FOV reconstruction.
Purpose of the Study:
- To develop and validate a partial-FOV reconstruction technique for dynamic MR imaging.
- To improve temporal resolution in dynamic MR imaging by utilizing prior static image information.
- To effectively remove motion artifacts from static regions in dynamic MR imaging.
Main Methods:
- Utilizing prior knowledge of static image regions for partial-FOV reconstruction.
- Employing temporal low-pass filtering to remove motion artifacts from static data.
- Adapting the reconstruction technique for spiral acquisition, applied to cardiac fluoroscopy.
Main Results:
- Demonstrated higher temporal resolution due to shorter scan times for partial-FOV data.
- Successfully suppressed motion artifacts outside the dynamic section using a bank of low-pass filters.
- Achieved a doubling of temporal resolution in cardiac fluoroscopy applications.
Conclusions:
- Partial-FOV reconstruction is an effective method for enhancing temporal resolution in dynamic MR imaging.
- Accurate prior static image information, free from motion artifacts, is key to the fidelity of this technique.
- The proposed method, particularly with spiral acquisition, shows significant promise for applications like cardiac fluoroscopy.