Acceleration of MR parameter mapping using annihilating filter-based low rank hankel matrix (ALOHA).
Dongwook Lee1, Kyong Hwan Jin1, Eung Yeop Kim2
1Department of Bio and Brain Engineering, Korea Advanced Institute of Science & Technology (KAIST), 373-1 Guseong-dong Yuseong-gu, Daejon, 305-701, Republic of Korea.
Magnetic Resonance in Medicine
|January 6, 2016
Summary
Accelerated MR parameter mapping using the ALOHA technique significantly reduces scan times. This method improves image quality by minimizing distortions, showing great potential for clinical applications.
Area of Science:
- Magnetic Resonance Imaging
- Medical Imaging Physics
Background:
- MR parameter mapping is clinically valuable but hindered by long scan times.
- Accelerated techniques are crucial for routine clinical adoption.
Purpose of the Study:
- To develop an accelerated MR parameter mapping technique.
- Utilize the annihilating filter based low-rank Hankel matrix approach (ALOHA).
Main Methods:
- Sparsified dynamic MR sequences using spatial wavelet and temporal Fourier transforms.
- Constructed rank-deficient Hankel structured matrices from k-t measurements.
- Employed ALOHA with low-rank matrix completion and multiscale decomposition for k-space reconstruction.
- Redesigned spin-echo sequences for undersampling and reconstructed parameter maps via nonlinear regression.
Main Results:
- ALOHA demonstrated superior performance compared to existing compressed sensing algorithms.
- Reconstruction errors were scattered, avoiding systematic distortions seen in other methods.
- Parameter maps showed improved accuracy and reduced artifacts.
Conclusions:
- ALOHA offers a promising solution for accelerating MR parameter mapping.
- Reduced systematic image distortion enhances diagnostic accuracy.
- The technique holds significant potential for widespread clinical implementation.
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