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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F13%3A43920417%21RIV14-MSM-23520___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
In many biomedical applications, it is often desired to simulate, analyse and visualise the dynamics of a particular patient based on a patient-specific musculoskeletal model. However, reconstructing a patient-specific model directly from medical images is highly labour intensive, and impractical in the clinical context. A more efficient method is to derive it from an atlas musculoskeletal model using patient-specific hints. In this paper, Laplacian mesh processing is introduced to deform an atlas model to a patient-specific model, based on patient-specific landmarks extracted from two orthogonal clinical images and using least-squares error optimization. Muscle attachment landmarks and motion landmarks in the atlas are also transformed as part of the process. Drift and inter-surface penetrations are prevented by supplementary inter-surface landmarks. Mesh simplification and reconstruction are used to avoid out-of-memory failures that may result from trying to deform models at high resolution. In many biomedical applications, it is often desired to simulate, analyse and visualise the dynamics of a particular patient based on a patient-specific musculoskeletal model. However, reconstructing a patient-specific model directly from medical images is highly labour intensive, and impractical in the clinical context. A more efficient method is to derive it from an atlas musculoskeletal model using patient-specific hints. In this paper, Laplacian mesh processing is introduced to deform an atlas model to a patient-specific model, based on patient-specific landmarks extracted from two orthogonal clinical images and using least-squares error optimization. Muscle attachment landmarks and motion landmarks in the atlas are also transformed as part of the process. Drift and inter-surface penetrations are prevented by supplementary inter-surface landmarks. Mesh simplification and reconstruction are used to avoid out-of-memory failures that may result from trying to deform models at high resolution.
dcterms:title
Laplacian Muscoloskeletal Deformation for patient-Specific Simulation and Visualization Laplacian Muscoloskeletal Deformation for patient-Specific Simulation and Visualization
skos:prefLabel
Laplacian Muscoloskeletal Deformation for patient-Specific Simulation and Visualization Laplacian Muscoloskeletal Deformation for patient-Specific Simulation and Visualization
skos:notation
RIV/49777513:23520/13:43920417!RIV14-MSM-23520___
n17:predkladatel
n18:orjk%3A23520
n4:aktivita
n15:I
n4:aktivity
I
n4:dodaniDat
n7:2014
n4:domaciTvurceVysledku
n14:9374094
n4:druhVysledku
n20:D
n4:duvernostUdaju
n13:S
n4:entitaPredkladatele
n21:predkladatel
n4:idSjednocenehoVysledku
84306
n4:idVysledku
RIV/49777513:23520/13:43920417
n4:jazykVysledku
n5:eng
n4:klicovaSlova
inter-surface penetration; least-squares error; landmarks; deformation; patient-specific; Laplacian; NMS Physiome, musculoskeletal model; VPHOP
n4:klicoveSlovo
n12:VPHOP n12:landmarks n12:musculoskeletal%20model n12:least-squares%20error n12:patient-specific n12:Laplacian n12:deformation n12:NMS%20Physiome n12:inter-surface%20penetration
n4:kontrolniKodProRIV
[B7D80F40AF06]
n4:mistoKonaniAkce
London
n4:mistoVydani
Piscataway
n4:nazevZdroje
2013 17th International Conference on Information Visualisation
n4:obor
n16:JC
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
7
n4:rokUplatneniVysledku
n7:2013
n4:tvurceVysledku
Zhao, Youbing Clapworthy, Gordon J. Kohout, Josef McFarlane, Nigel Dong, Feng Tao, Yubo Wei, Hui
n4:typAkce
n9:WRD
n4:zahajeniAkce
2013-07-16+02:00
s:issn
1550-6037
s:numberOfPages
6
n10:doi
10.1109/IV.2013.67
n11:hasPublisher
IEEE
n19:isbn
978-0-7695-5049-7
n22:organizacniJednotka
23520