Cortical Volumetry using 3D Reconstruction of Metacarpal Bone from Multi-view Images

被引:0
|
作者
Jayakar, Avinash D. [1 ]
Sambath, Gautham [1 ]
Areeckal, Anu Shaju [1 ]
David, Sumam S. [1 ]
机构
[1] Natl Inst Technol Karnataka, Dept Elect & Commun Engn, Surathkal, Karnataka, India
关键词
3D reconstruction; X-ray images; cortical bone volume; metacarpal bone; osteoporosis; X-RAY IMAGES;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Osteoporosis is a disease caused by decrease in bone density, which makes the bone more susceptible to fractures. The currently used techniques to diagnose osteoporosis such as Dual X-ray Absorptiometry (DXA) and Quantitative Computed Tomography (QCT) are expensive and not widely available. Computerized radiogrammetry is a low cost technique used for the detection of bone loss. But it gives an areal measurement of the cortical bone density. In this paper, we propose a novel low cost technique to measure cortical bone volume for the diagnosis of osteoporosis. The proposed method uses a 3D reconstruction of third metacarpal using three views of hand radiographs and a template model as prior. The projection contours of the template model are registered with the X-ray images and the point pair correspondence obtained is used to deform the template model. The shaft of the reconstructed bone is used for measuring the cortical volume. The proposed 3D reconstruction method is evaluated by comparison to a ground truth model and manually segmented X-ray images. The cortical volumetric measurements obtained are statistically analyzed for correlation with DXA measurement. The results obtained show that cortical volumetry using the proposed 3D reconstruction method can be developed into a low cost technique for the diagnosis of osteoporosis.
引用
收藏
页码:79 / 83
页数:5
相关论文
共 50 条
  • [21] 3D reconstruction of human bodies from single-view and multi-view images: A systematic review
    Correia, Helena A.
    Brito, Jose Henrique
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2023, 239
  • [22] 3D Texture Mapping in Multi-view Reconstruction
    Chen, Zhaolin
    Zhou, Jun
    Chen, Yisong
    Wang, Guoping
    ADVANCES IN VISUAL COMPUTING, ISVC 2012, PT I, 2012, 7431 : 359 - 371
  • [23] Evaluation of Multi-view 3D Reconstruction Software
    Scheoning, Julius
    Heidemann, Gunther
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2015, PT II, 2015, 9257 : 450 - 461
  • [24] 3D Reconstruction with Multi-view Texture Mapping
    Ye, Xiaodan
    Wang, Lianghao
    Li, Dongxiao
    Zhang, Ming
    NEURAL INFORMATION PROCESSING (ICONIP 2017), PT III, 2017, 10636 : 198 - 207
  • [25] Multi-View Stereo 3D Edge Reconstruction
    Bignoli, Andrea
    Romanoni, Andrea
    Matteucci, Matteo
    2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018), 2018, : 867 - 875
  • [26] PDE-Based 3D Surface Reconstruction from Multi-View 2D Images
    Zhu, Zaiping
    Iglesias, Andres
    Zhou, Liqi
    You, Lihua
    Zhang, Jianjun
    MATHEMATICS, 2022, 10 (04)
  • [27] 3D Concept Learning and Reasoning from Multi-View Images
    Hong, Yining
    Lin, Chunru
    Du, Yilun
    Chen, Zhenfang
    Tenenbaum, Joshua B.
    Gan, Chuang
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 9202 - 9212
  • [28] PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
    Liu, Jiachen
    Ji, Pan
    Bansal, Nitin
    Cai, Changjiang
    Yan, Qingan
    Huang, Xiaolei
    Xu, Yi
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2022, : 8655 - 8665
  • [29] Benchmarking Large-Scale Multi-View 3D Reconstruction Using Realistic Synthetic Images
    Liu, Zhuohao
    Xu, Zixuan
    Diao, Changyu
    Xing, Wei
    Lu, Dongming
    ELEVENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2019), 2020, 11373
  • [30] AN IMAGE-BASED TECHNIQUE FOR 3D BUILDING RECONSTRUCTION USING MULTI-VIEW UAV IMAGES
    Alidoost, F.
    Arefi, H.
    INTERNATIONAL CONFERENCE ON SENSORS & MODELS IN REMOTE SENSING & PHOTOGRAMMETRY, 2015, 41 (W5): : 43 - 46