| Título: | Magnetic Resonance Imaging Fusion by 3D Compactly Supported Shearlet Transform |
| Autores: |
Duan, Chang; University of Electronic Science and Technology Huang, Qihong; Chengdu University of Information Technology Wang, Shuai; University of Electronic Science and Technology Wang, Xuegang; University of Electronic Science and Technology Wang, Hong; University of Electronic Science and Technology |
| Fecha: | 2013-12-29 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: |
Image Processing Medical Volume Fusion; Compactly Supported Shearlet Transform; Quantitative Susceptibility Mapping |
| Descripción: | T2* and Quantitative Susceptibility Mapping (QSM) Magnetic Resonance Imaging (MRI) volume provide different type inner structure information of scanned organs. If they can be properly fused into one volume, the details of the organ can be more clearly revealed. In this paper, a 3D MRI volume fusion method based on 3D Compactly Supported Shearlet Transform (3D-CSST) and 3D Dual Tree Compactly Supported Shearlet Transform (3D-DT-CSST), is proposed, which can overcome the limitation, loss of inter layer correlative information, of conventional 2D image fusion methods. 3D-DT-CSST is our modification of 3D-CSST, which is approximate shift invariant. It can improve the performance of fusion method. The proposed method is evaluated by 4 groups of MRI volumes of human brains. The experiment suggests the proposed method has a better performance than conventional 2D wavelet, 2D DT-CWT and 3D wavelet, 3D DT-CWT based fusion methods, and 3D-DT-CSST based method is better than 3D-CSST based method. |
| Idioma: | No aplica |