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논문 기본정보
Image reconstruction of compressed sensing MRI using graph-based redundant wavelet transform
논문 개요
| 기관명 | NDSL |
|---|---|
| 저널명 | Medical image analysis |
| ISSN | 1361-8415,1361-8423 |
| ISBN |
논문저자 및 소속기관 정보
| 저자(한글) | Lai, Z.,Qu, X.,Liu, Y.,Guo, D.,Ye, J.,Zhan, Z.,Chen, Z. |
|---|---|
| 저자(영문) | |
| 소속기관 | |
| 소속기관(영문) | |
| 출판인 | |
| 간행물 번호 | |
| 발행연도 | 2016-01-01 |
| 초록 | Compressed sensing magnetic resonance imaging has shown great capacity for accelerating magnetic resonance imaging if an image can be sparsely represented. How the image is sparsified seriously affects its reconstruction quality. In the present study, a graph-based redundant wavelet transform is introduced to sparsely represent magnetic resonance images in iterative image reconstructions. With this transform, image patches is viewed as vertices and their differences as edges, and the shortest path on the graph minimizes the total difference of all image patches. Using the l 1 norm regularized formulation of the problem solved by an alternating-direction minimization with continuation algorithm, the experimental results demonstrate that the proposed method outperforms several state-of-the-art reconstruction methods in removing artifacts and achieves fewer reconstruction errors on the tested datasets. |
| 원문URL | http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=NART73407021 |
| 첨부파일 |
추가정보
| 과학기술표준분류 | |
|---|---|
| ICT 기술분류 | |
| DDC 분류 | |
| 주제어 (키워드) | Compressed sensing,Graph,Wavelet,MRI,Image reconstruction |