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Simulating Liver Deformation during Respiration Using Sparse Local Features
Sept.-Oct. 2012 (vol. 32 no. 5)
pp. 29-38
| ASCII Text | x | ||
| Nahyup Kang, Min Woo Lee, Taehyun Rhee, "Simulating Liver Deformation during Respiration Using Sparse Local Features," IEEE Computer Graphics and Applications, vol. 32, no. 5, pp. 29-38, Sept.-Oct., 2012. | |||
| BibTex | x | ||
| @article{ 10.1109/MCG.2012.65, author = {Nahyup Kang and Min Woo Lee and Taehyun Rhee}, title = {Simulating Liver Deformation during Respiration Using Sparse Local Features}, journal ={IEEE Computer Graphics and Applications}, volume = {32}, number = {5}, issn = {0272-1716}, year = {2012}, pages = {29-38}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCG.2012.65}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Computer Graphics and Applications TI - Simulating Liver Deformation during Respiration Using Sparse Local Features IS - 5 SN - 0272-1716 SP29 EP38 EPD - 29-38 A1 - Nahyup Kang, A1 - Min Woo Lee, A1 - Taehyun Rhee, PY - 2012 KW - Liver KW - Three dimensional displays KW - Magnetic resonance imaging KW - Biomedical image processing KW - Tumors KW - Computational modeling KW - Mesh generation KW - geometric systems KW - Liver KW - Three dimensional displays KW - Magnetic resonance imaging KW - Biomedical image processing KW - Tumors KW - Computational modeling KW - Mesh generation KW - computer graphics KW - computational geometry KW - object modeling KW - geometric algorithms VL - 32 JA - IEEE Computer Graphics and Applications ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2012.65
A new method deforms a 3D liver mesh in an arbitrary phase of respiration. During preprocessing, the method step defines a patient-specific deformation space using two polar shapes of the liver during respiration. 3D magnetic resonance imaging captures patient livers during exhaling and inhaling. Next, using a fully automated nonrigid mesh registration, this method creates the two phases' corresponding surface meshes. Then, it defines the respiration's deformation space by extracting deformation gradients between the exhalation and inhalation meshes. At runtime, the method uses sparse local features suitably obtained from 2D ultrasound imaging to solve the constraint optimization problem that minimizes dissimilarity of deformation gradients between the target deformation and the patient-specific deformation space. Researchers used real patient data to evaluate this method, which could be applicable to image-guided tumor ablations.
Index Terms:
Liver,Three dimensional displays,Magnetic resonance imaging,Biomedical image processing,Tumors,Computational modeling,Mesh generation,geometric systems,Liver,Three dimensional displays,Magnetic resonance imaging,Biomedical image processing,Tumors,Computational modeling,Mesh generation,computer graphics,computational geometry,object modeling,geometric algorithms
Citation:
Nahyup Kang, Min Woo Lee, Taehyun Rhee, "Simulating Liver Deformation during Respiration Using Sparse Local Features," IEEE Computer Graphics and Applications, vol. 32, no. 5, pp. 29-38, Sept.-Oct. 2012, doi:10.1109/MCG.2012.65
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