Assessment of shape variation of the levator ani with optimal scan planning and statistical shape modeling

To capture 3D shape variation of the levator ani during straining with open access MR imaging. Optimal scan-planning based on statistical shape modeling is developed for recovering the entire 3D structure of the levator ani from a limited number of 2D imaging planes. Statistical shape modeling ensur...

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Published inJournal of computer assisted tomography Vol. 29; no. 2; p. 154
Main Authors Lee, Su-Lin, Horkaew, Paramate, Caspersz, Warren, Darzi, Ara, Yang, Guang-Zhong
Format Journal Article
LanguageEnglish
Published United States 01.03.2005
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ISSN0363-8715
DOI10.1097/01.rct.0000155076.42784.ed

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Abstract To capture 3D shape variation of the levator ani during straining with open access MR imaging. Optimal scan-planning based on statistical shape modeling is developed for recovering the entire 3D structure of the levator ani from a limited number of 2D imaging planes. Statistical shape modeling ensures optimum material correspondence, and Subspace Reprojection is used to identify the optimum orientation of the imaging plans. The accuracy of the method in using limited 2D imaging planes to instantiate the dynamic structure of the levator ani is assessed with data acquired from 10 asymptomatic subjects. Leave-one-out analysis was performed whereby a model based on a training set consisting of all but one surface was used to instantiate the dynamic surface structure from the corresponding optimal planes. The mean surface distance error for the proposed Subspace Reprojection method is 3.989 +/- 0.790 mm, which is significantly smaller than other approaches. Surfaces of the levator ani may be instantiated using a limited number of imaging planes as well as a statistical shape model based on a training set of subjects. The proposed technique offers a new way forward for studying dynamic shape changes of 3D structures where complete volumetric imaging is prohibited by the inherent temporal resolution of the scanning technique.
AbstractList To capture 3D shape variation of the levator ani during straining with open access MR imaging. Optimal scan-planning based on statistical shape modeling is developed for recovering the entire 3D structure of the levator ani from a limited number of 2D imaging planes. Statistical shape modeling ensures optimum material correspondence, and Subspace Reprojection is used to identify the optimum orientation of the imaging plans. The accuracy of the method in using limited 2D imaging planes to instantiate the dynamic structure of the levator ani is assessed with data acquired from 10 asymptomatic subjects. Leave-one-out analysis was performed whereby a model based on a training set consisting of all but one surface was used to instantiate the dynamic surface structure from the corresponding optimal planes. The mean surface distance error for the proposed Subspace Reprojection method is 3.989 +/- 0.790 mm, which is significantly smaller than other approaches. Surfaces of the levator ani may be instantiated using a limited number of imaging planes as well as a statistical shape model based on a training set of subjects. The proposed technique offers a new way forward for studying dynamic shape changes of 3D structures where complete volumetric imaging is prohibited by the inherent temporal resolution of the scanning technique.
Author Yang, Guang-Zhong
Lee, Su-Lin
Caspersz, Warren
Darzi, Ara
Horkaew, Paramate
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crossref_primary_10_1016_S0001_4079_19_32256_3
crossref_primary_10_1016_j_compmedimag_2009_07_007
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Snippet To capture 3D shape variation of the levator ani during straining with open access MR imaging. Optimal scan-planning based on statistical shape modeling is...
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StartPage 154
SubjectTerms Adult
Computer Simulation
Female
Humans
Image Processing, Computer-Assisted
Imaging, Three-Dimensional
Isometric Contraction - physiology
Magnetic Resonance Imaging
Mathematical Computing
Models, Anatomic
Models, Statistical
Muscle, Skeletal - anatomy & histology
Numerical Analysis, Computer-Assisted
Pelvic Floor - anatomy & histology
Reference Values
Software
Title Assessment of shape variation of the levator ani with optimal scan planning and statistical shape modeling
URI https://www.ncbi.nlm.nih.gov/pubmed/15772530
Volume 29
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