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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Fast spin-echo triple-echo dixon (fTED) technique for efficient T2-weighted water and fat imaging
Jingfei Ma1, Jong Bum Son1,2, Yuxiang Zhou1
1Department of Imaging Physics, University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.
Magnetic Resonance in Medicine
|July 31, 2007
Summary
This study introduces a novel fast spin-echo triple-echo Dixon (fTED) technique for rapid water and fat separation in MRI scans. The fTED method achieves this in a single scan, improving efficiency without compromising image quality.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Medical Physics
Background:
- Conventional fast spin-echo (FSE) Dixon methods for water and fat separation require multiple scans, leading to prolonged examination times.
- Increasing echo spacing (esp) in FSE is often necessary for adequate water-fat phase shift, potentially degrading image quality and scan efficiency.
Purpose of the Study:
- To develop and implement a novel FSE triple-echo Dixon (fTED) technique for simultaneous water and fat separation.
- To overcome the limitations of speed and scan parameter compromises in existing FSE Dixon methods.
Main Methods:
- A new fTED technique acquires three raw images within a single FSE scan by modifying frequency-encoding gradients.
- Alternating polarity gradients and adjusted receiver bandwidth (RBW) achieve specific phase shifts (-180°, 0°, 180°) for water and fat signals across the three echoes.
- An automated postprocessing algorithm generates separate water-only and fat-only images.
Main Results:
- The fTED technique enables uniform water and fat separation in a single scan.
- Fast scanning is achieved with uncompromised FSE parameters.
- The method is effective with and without parallel imaging, suitable for applications like T2-weighted abdominal imaging during breath-holding.
Conclusions:
- The novel fTED technique offers a faster and more efficient approach to water and fat separation in MRI.
- This method maintains image quality and scan efficiency, broadening its clinical applicability, particularly for dynamic imaging scenarios.
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