REGULARIZATION OF STEREORADIOGRAPHIC 3D RECONSTRUCTION OF THE SPINE

被引:0
|
作者
Stehlik, Milan [1 ]
机构
[1] Johannes Kepler Univ Linz, Dept Appl Stat, A-4040 Linz, Austria
关键词
3D-reconstruction; spatially deformed data; spine; fractal dimension; D-optimality; LOW-BACK-PAIN; CORRELATED ERRORS; OPTIMAL DESIGNS; PARAMETERS; COPULAS; SPACES;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The aim of this paper is to discuss ongoing research in improvements of 3D-reconstruction of the spine using a combined geometrical (stereologic), static and statistical model. We will introduce the statistical model regularizing the ill-posed problem arising from X-ray tomography. In many practical situations the proper treatment of correlation structure can bring a fruitful improvement of existing procedures. Many problems by the diagnostics and extremal loads studies touch the area of extremes.
引用
收藏
页码:321 / 326
页数:6
相关论文
共 50 条
  • [1] Vertebral pose estimation using edge-based pattern matching and stereoradiographic 3D reconstruction of the spine
    Deschenes, S
    Godbout, B
    Pomero, V
    Skalli, W
    de Guise, JA
    [J]. CARS 2004: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS, 2004, 1268 : 237 - 242
  • [2] Fast accurate stereoradiographic 3D-reconstruction of the spine using a combined geometric and statistic model
    Pomero, V
    Mitton, D
    Laporte, S
    de Guise, JA
    Skalli, W
    [J]. CLINICAL BIOMECHANICS, 2004, 19 (03) : 240 - 247
  • [3] Validation of the non-stereo corresponding points stereoradiographic 3D reconstruction technique
    Mitulescu, A
    Semaan, I
    De Guise, JA
    Leborgne, P
    Adamsbaum, C
    Skalli, W
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2001, 39 (02) : 152 - 158
  • [4] Validation of the non-stereo corresponding points stereoradiographic 3D reconstruction technique
    A. Mitulescu
    I. Semaan
    J. A. De Guise
    P. Leborgne
    C. Adamsbaum
    W. Skalli
    [J]. Medical and Biological Engineering and Computing, 2001, 39 : 152 - 158
  • [5] 3D Dendrite Reconstruction and Spine Identification
    Zhou, Wengang
    Li, Houqiang
    Zhou, Xiaobo
    [J]. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2008, PT II, PROCEEDINGS, 2008, 5242 : 18 - 26
  • [6] Postoperative 3D spine reconstruction by navigating partitioning manifolds
    Kadoury, Samuel
    Labelle, Hubert
    Parent, Stefan
    [J]. MEDICAL PHYSICS, 2016, 43 (03) : 1045 - 1056
  • [7] Intraoperative 3D reconstruction of the scoliotic spine from radiographs
    Cheriet, F
    Delorme, S
    Dansereau, J
    Aubin, CÉ
    De Guise, JA
    Labelle, H
    [J]. ANNALES DE CHIRURGIE, 1999, 53 (08): : 808 - +
  • [8] 3D Acquisition and Reconstruction Protocol for Lumbar Spine Imaging
    Hwang, K.
    Valenzuela, R.
    Amini, B.
    Stafford, R.
    [J]. MEDICAL PHYSICS, 2018, 45 (06) : E608 - E608
  • [9] Reliability of 3D reconstruction of the spine of mild scoliotic patients
    Gille, Olivier
    Champain, Nicolas
    Benchikh-El-Fegoun, Abdelkrim
    Vital, Jean-Marc
    Skalli, Wafa
    [J]. SPINE, 2007, 32 (05) : 568 - 573
  • [10] Iterative regularization method applied to reconstruction of 3D scattering geometry
    Emets, Volodymyr
    Rogowski, Jan
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (4A): : 111 - 113