Construction of 3D shape models of femoral articular cartilage using harmonic maps

被引:0
|
作者
Brett, AD [1 ]
Taylor, CJ [1 ]
机构
[1] Univ Manchester, Div Imaging Sci, Manchester M13 9PT, Lancs, England
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A previous publication has described a method of pairwise 3D surface correspondence for the automated generation of landmarks on a set of examples from a class of shape [3]. However, that method did not guarantee a diffeomorphic correspondence between examples. This affected the model compactness (the ability of the model to capture shape variation in a small number of parameters) and model specificity (the fact that the model will describe shapes only within the class used for training). In this paper we describe a method of generating the pairwise correspondences using piecewise-linear harmonic maps of the surfaces which is constrained to be diffeomorphic. In particular, we are interested in producing shape models of articular cartilage. In general these models will be close to being planar discs which makes the use of harmonic mapping particularly suitable for our application. An example statistical model built using this new correspondence method is shown for the human femoral articular cartilage; a complex biological shape which demonstrates considerable variation between individuals.
引用
收藏
页码:1205 / 1214
页数:10
相关论文
共 50 条
  • [21] Shape Normalization of 3D Models Using Weighted Implicit Shape Representation
    Jin, Xun
    Kim, Jong-weon
    INTERNATIONAL CONFERENCE ON INFORMATICS, CONTROL AND AUTOMATION (ICA 2015), 2015, : 200 - 204
  • [22] Optimal cascade construction for detection using 3D models
    Pong, Hon-Keat
    Cham, Tat-Jen
    18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2006, : 808 - +
  • [23] Automated 3D PDM construction using deformable models
    Kaus, MR
    Pekar, V
    Lorenz, C
    Truyen, R
    Lobregt, S
    Richolt, J
    Weese, J
    EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL I, PROCEEDINGS, 2001, : 566 - 572
  • [24] 3D Deformable Shape Reconstruction with Diffusion Maps
    Tao, Lili
    Matuszewski, Bogdan J.
    PROCEEDINGS OF THE BRITISH MACHINE VISION CONFERENCE 2013, 2013,
  • [25] Quantification and 3D Visualization of Articular Cartilage of Knee Joint Using Image Processing Techniques
    Mallikarjunaswamy, M. S.
    Holi, Mallikarjun S.
    Raman, Rajesh
    COMPUTATIONAL INTELLIGENCE IN DATA MINING, VOL 2, 2015, 32 : 417 - 425
  • [26] Harmonic silhouette matching for 3D models
    Makadia, Ameesh
    Visontai, Mirko
    Daniilidis, Kostas
    2007 3DTV CONFERENCE, 2007, : 411 - 414
  • [27] 3D Bioprinting of Hyaline Articular Cartilage: Biopolymers, Hydrogels, and Bioinks
    Volova, Larisa T.
    Kotelnikov, Gennadiy P.
    Shishkovsky, Igor
    Volov, Dmitriy B.
    Ossina, Natalya
    Ryabov, Nikolay A.
    Komyagin, Aleksey V.
    Kim, Yeon Ho
    Alekseev, Denis G.
    POLYMERS, 2023, 15 (12)
  • [28] 3D PRINTED HYBRID SCAFFOLDS SUPPORT ARTICULAR CARTILAGE FORMATION
    Ferreira, S. A.
    Tallia, F.
    Heyraud, A.
    Walkers, S. A.
    Salzlechner, C.
    Jones, J. R.
    Rankin, M.
    WOUND REPAIR AND REGENERATION, 2023, 31 : S57 - S57
  • [29] 3D Bioprinting: New Directions in Articular Cartilage Tissue Engineering
    O'Connell, Grace
    Garcia, Jeanette
    Amir, Jamali
    ACS BIOMATERIALS SCIENCE & ENGINEERING, 2017, 3 (11): : 2657 - 2668
  • [30] 3D Hydrogel Scaffolds for Articular Chondrocyte Culture and Cartilage Generation
    Smeriglio, Piera
    Lai, Janice H.
    Yang, Fan
    Bhutani, Nidhi
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2015, (104):