Back to Search
Start Over
Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-Enhanced MRI
- Source :
- IEEE Transactions on Biomedical Engineering. 69:229-243
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a tissue perfusion imaging technique. Some versatile free-breathing DCE-MRI techniques combining compressed sensing (CS) and parallel imaging with golden-angle radial sampling have been developed to improve motion robustness with high spatial and temporal resolution. These methods have demonstrated good diagnostic performance in clinical setting, but the reconstruction quality will degrade at high acceleration rates and overall reconstruction time remains long. In this paper, we proposed a new parallel CS reconstruction model for DCE-MRI that enforces flexible weighted sparse constraint along both spatial and temporal dimensions. Weights were introduced to flexibly adjust the importance of time and space sparsity, and we derived a fast-thresholding algorithm which was proven to be simple and efficient for solving the proposed reconstruction model. Results on both the brain tumor DCE and liver DCE show that, at relatively high acceleration factor of fast sampling, lowest reconstruction error and highest image structural similarity are obtained by the proposed method. Besides, the proposed method achieves faster reconstruction for liver datasets and better physiological measures are also obtained on tumor images.
- Subjects :
- Computer science
Physics::Medical Physics
0206 medical engineering
Biomedical Engineering
Contrast Media
02 engineering and technology
Image (mathematics)
Radial sampling
Motion
Sampling (signal processing)
Robustness (computer science)
Image Interpretation, Computer-Assisted
Image Processing, Computer-Assisted
medicine
medicine.diagnostic_test
business.industry
Magnetic resonance imaging
Pattern recognition
Image Enhancement
Magnetic Resonance Imaging
020601 biomedical engineering
Compressed sensing
Temporal resolution
Dynamic contrast-enhanced MRI
Artificial intelligence
business
Algorithms
Subjects
Details
- ISSN :
- 15582531 and 00189294
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Biomedical Engineering
- Accession number :
- edsair.doi.dedup.....5bdbc0149834c51178f5faf842eb7d40