DTI Image Registration under Probabilistic Fiber Bundles Tractography Learning.
Diffusion Tensor Imaging (DTI) image registration is an essential step for diffusion tensor image analysis. Most of the fiber bundle based registration algorithms use deterministic fiber tracking technique to get the white matter fiber bundles, which will be affected by the noise and volume. In orde...
| Publicado en: | BioMed Research International Vol. 2016; pp. 1 - 13 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
9/27/2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118364778&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118364778 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 9/27/2016 vid: 2016 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 118364778 118364778 118364778 10.1155/2016/4674658 118364778 ppf: 1 ppct: 12 formats: fmt: @attributes: type: P tig: atl: DTI Image Registration under Probabilistic Fiber Bundles Tractography Learning. aug: au: Guo, Zhe Wang, Yi Lei, Tao Fan, Yangyu Zhang, Xiuwei affil: School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China sug: subj: Magnetic Resonance Imaging Methods Probability Neural Pathways Analysis Models, Structural Brain Analysis Human Nerve Fibers Analysis Algorithms Random Sample Male Female Middle Age Adult Aged Descriptive Statistics Funding Source Middle Aged: 45-64 years Adult: 19-44 years Aged: 65+ years Male Female ab: Diffusion Tensor Imaging (DTI) image registration is an essential step for diffusion tensor image analysis. Most of the fiber bundle based registration algorithms use deterministic fiber tracking technique to get the white matter fiber bundles, which will be affected by the noise and volume. In order to overcome the above problem, we proposed a Diffusion Tensor Imaging image registration method under probabilistic fiber bundles tractography learning. Probabilistic tractography technique can more reasonably trace to the structure of the nerve fibers. The residual error estimation step in active sample selection learning is improved by modifying the residual error model using finite sample set. The calculated deformation field is then registered on the DTI images. The results of our proposed registration method are compared with 6 state-of-the-art DTI image registration methods under visualization and 3 quantitative evaluation standards. The experimental results show that our proposed method has a good comprehensive performance. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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