글로벌 연구동향
의학물리학
- 2017년 11월호
[Med Phys. ] A parallel MR imaging method using multilayer perceptron.KAIST/ 권기남, 박현욱*
- 출처
- Med Phys.
- 등재일
- 2017 Sep 25
- 저널이슈번호
- doi: 10.1002/mp.12600. [Epub ahead of print]
- 내용
Abstract
PURPOSE:
To reconstruct MR images from subsampled data, we propose a fast reconstruction method using the multilayer perceptron (MLP) algorithm.
METHODS AND MATERIALS:
We applied MLP to reduce aliasing artifacts generated by subsampling in k-space. The MLP is learned from training data to map aliased input images into desired alias-free images. The input of the MLP is all voxels in the aliased lines of multichannel real and imaginary images from the subsampled k-space data, and the desired output is all voxels in the corresponding alias-free line of the root-sum-of-squares of multichannel images from fully sampled k-space data. Aliasing artifacts in an image reconstructed from subsampled data were reduced by line-by-line processing of the learned MLP architecture.
RESULTS:
Reconstructed images from the proposed method are better than those from compared methods in terms of normalized root-mean-square error. The proposed method can be applied to image reconstruction for any k-space subsampling patterns in a phase encoding direction. Moreover, to further reduce the reconstruction time, it is easily implemented by parallel processing.
CONCLUSION:
We have proposed a reconstruction method using machine learning to accelerate imaging time, which reconstructs high-quality images from subsampled k-space data. It shows flexibility in the use of k-space sampling patterns, and can reconstruct images in real time.
Author information
Kwon K1, Kim D2, Park H1.
1Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.2College of Medicine, Gachon University, Incheon, South Korea.
- 키워드
- artificial neural networks (ANN); machine learning; magnetic resonance imaging (MRI); multilayer perceptron (MLP); parallel imaging
- 덧글달기
편집위원
이번에는 MR 영상재구성을 인공지능 알고리즘을 가지고 한 논문입니다. Multilayer Perception이라는 기법을 적용하여 aliasing 허상을 제거하고 실시간으로 빠른 재구성을 했다는데, 인공지능을 이용한 기법이 상당한 수준으로 이미 적용되고 있는 것을 실감할 수 있습니다.
덧글달기닫기2017-11-02 14:28:59
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