An atlas-based multimodal registration method for 2D images with discrepancy structures.
An atlas-based multimodal registration method for 2-dimension images with discrepancy structures was proposed in this paper. Atlas was utilized for complementing the discrepancy structure information in multimodal medical images. The scheme includes three steps: floating image to atlas registration,...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 11; pp. 2151 - 2162 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2018
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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=132461113&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 132461113 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2018 vid: 56 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 132461113 132461113 NLM29862470 10.1007/s11517-018-1808-1 NLM29862470 132461113 ppf: 2151 ppct: 11 formats: fmt: @attributes: type: P tig: atl: An atlas-based multimodal registration method for 2D images with discrepancy structures. aug: au: Lv, Wenchao Chen, Houjin Peng, Yahui Li, Yanfeng Li, Jupeng affil: Beijing Jiaotong Unversity, Beijing, China sug: subj: Brain Physiology Diagnostic Imaging Methods Magnetic Resonance Imaging Methods Image Processing, Computer Assisted Methods Algorithms Scales ab: An atlas-based multimodal registration method for 2-dimension images with discrepancy structures was proposed in this paper. Atlas was utilized for complementing the discrepancy structure information in multimodal medical images. The scheme includes three steps: floating image to atlas registration, atlas to reference image registration, and field-based deformation. To evaluate the performance, a frame model, a brain model, and clinical images were employed in registration experiments. We measured the registration performance by the squared sum of intensity differences. Results indicate that this method is robust and performs better than the direct registration for multimodal images with discrepancy structures. We conclude that the proposed method is suitable for multimodal images with discrepancy structures. Graphical Abstract An Atlas-based multimodal registration method schematic diagram. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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