An anatomical region-based statistical shape model of the human femur
We present a workflow for producing a statistical shape model (SSM) of the femur with automatically defined regions resembling general anatomic features. Explicitly defined regions enforce correspondence of anatomical features, and allow the shapes of regions to be analysed independently if needed....
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| Vydáno v: | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Ročník 2; číslo 3; s. 176 - 185 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina japonština |
| Vydáno: |
Taylor & Francis
03.07.2014
Informa UK Limited |
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| ISSN: | 2168-1163, 2168-1171 |
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| Abstract | We present a workflow for producing a statistical shape model (SSM) of the femur with automatically defined regions resembling general anatomic features. Explicitly defined regions enforce correspondence of anatomical features, and allow the shapes of regions to be analysed independently if needed. A training set of manually segmented femur surfaces are partitioned according to Gaussian curvature. Partitioned regions across the training set are then grouped using mean-shift clustering to identify the most stable regions into which surfaces are divided. Reference piecewise parametric meshes are designed for and fitted to each region, and used to train regional SSMs through fitting-training iterations. Fitted region meshes are assembled into full femur meshes for training a whole femur region-based SSM (rSSM). Partitioning, clustering and shape modelling results are presented for 41 femurs. In comparison to a non-regional SSM, the rSSM was more efficient and correspondent in its approximation of unseen femurs. |
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| AbstractList | We present a workflow for producing a statistical shape model (SSM) of the femur with automatically defined regions resembling general anatomic features. Explicitly defined regions enforce correspondence of anatomical features, and allow the shapes of regions to be analysed independently if needed. A training set of manually segmented femur surfaces are partitioned according to Gaussian curvature. Partitioned regions across the training set are then grouped using mean-shift clustering to identify the most stable regions into which surfaces are divided. Reference piecewise parametric meshes are designed for and fitted to each region, and used to train regional SSMs through fitting-training iterations. Fitted region meshes are assembled into full femur meshes for training a whole femur region-based SSM (rSSM). Partitioning, clustering and shape modelling results are presented for 41 femurs. In comparison to a non-regional SSM, the rSSM was more efficient and correspondent in its approximation of unseen femurs. |
| Author | Zhang, Ju Malcolm, Duane Nielsen, Poul M.F. Thomas, C. David L. Hislop-Jambrich, Jacqui |
| Author_xml | – sequence: 1 givenname: Ju surname: Zhang fullname: Zhang, Ju email: ju.zhang@auckland.ac.nz organization: Auckland Bioengineering Institute, University of Auckland – sequence: 2 givenname: Duane surname: Malcolm fullname: Malcolm, Duane organization: Auckland Bioengineering Institute, University of Auckland – sequence: 3 givenname: Jacqui surname: Hislop-Jambrich fullname: Hislop-Jambrich, Jacqui organization: Clinical Applications Research Center, Toshiba Medical – sequence: 4 givenname: C. David L. surname: Thomas fullname: Thomas, C. David L. organization: The Melbourne Dental School, University of Melbourne, Melbourne – sequence: 5 givenname: Poul M.F. surname: Nielsen fullname: Nielsen, Poul M.F. organization: Department of Engineering Science, University of Auckland |
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| Title | An anatomical region-based statistical shape model of the human femur |
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