Ultrafast multidimensional MRI data acquisition with genetic algorithm
2021 IEEE International Conference on Medical Imaging Physics and Engineering (ICMIPE)(2021)
Abstract
A new strategy for accelerating multidimensional MRI data acquisition was introduced in this paper. It is based on the Genetic Algorithm (GA) to optimize the sparse data sampling strategy by maximizing the singular values of the kernel functions. The under-sampled data were then processed using Enhanced Discerning Multidimensional Inverse Laplace Transform (EDMILT) to obtain high-resolution spectroscopic imaging results. An 80 per cent reduction in acquisition time was achieved by applying the proposed framework while retaining image quality. The feasibility of the proposed framework was validated by using a numerical simulation protocol in different brain tissue models. Our results demonstrate the performance of the proposed framework in identifying the fluid contents in brain tissue models, offering a high probability of applying multidimensional MRI techniques in diagnosing neurological diseases.
MoreTranslated text
Key words
multidimensional MRI,data acquisition,genetic algorithm,sparse sampling
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined