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
  • [1] 3D Clothed Human Reconstruction from Sparse Multi-View Images
    Hong, Jin Gyu
    Noh, Seung Young
    Lee, Hee Kyung
    Cheong, Won Sik
    Chang, Ju Yong
    2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW, 2024, : 677 - 687
  • [2] An Extension of PatchMatch Stereo for 3D Reconstruction from Multi-View Images
    Hiradate, Mutsuki
    Ito, Koichi
    Aoki, Takafumi
    Watanabe, Takafumi
    Unten, Hiroki
    PROCEEDINGS 3RD IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION ACPR 2015, 2015, : 61 - 65
  • [3] Fast and Accurate 3D Reconstruction of Plants Using MVSNet and Multi-View Images
    Chen, Zhen
    Lv, Hui
    Lou, Lu
    Doonan, John H.
    ADVANCES IN COMPUTATIONAL INTELLIGENCE SYSTEMS, 2022, 1409 : 390 - 399
  • [4] 3D reconstruction from multi-view VHR-satellite images in MicMac
    Rupnik, Ewelina
    Pierrot-Deseilligny, Marc
    Delorme, Arthur
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 139 : 201 - 211
  • [5] High-Quality 3D Face Reconstruction from Multi-View Images
    Cai L.
    Guo Y.
    Zhang J.
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2020, 32 (02): : 305 - 314
  • [6] 3D ear reconstruction attempts: Using multi-view
    Liu, Heng
    Yan, Jingqi
    Zhang, David
    INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION, 2006, 345 : 578 - 583
  • [7] 3D Reconstruction for Multi-view Objects
    Yu, Jun
    Yin, Wenbin
    Hu, Zhiyi
    Liu, Yabin
    COMPUTERS & ELECTRICAL ENGINEERING, 2023, 106
  • [8] Multi-view 3D Reconstruction with Transformers
    Wang, Dan
    Cui, Xinrui
    Chen, Xun
    Zou, Zhengxia
    Shi, Tianyang
    Salcudean, Septimiu
    Wang, Z. Jane
    Ward, Rabab
    2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 5702 - 5711
  • [9] Approach to 3D reconstruction of calcareous sand using 2D images of multi-view
    Hu Cong
    Long Zhi-lin
    Kuang Du-min
    Gong Zhao-mao
    Yu Piao-yi
    Xu Guo-bin
    ROCK AND SOIL MECHANICS, 2022, 43 (03) : 761 - 768
  • [10] MULTI-VIEW 3D RECONSTRUCTION FROM VIDEO WITH TRANSFORMER
    Zhong, Yijie
    Sun, Zhengxing
    Sun, Yunhan
    Luo, Shoutong
    Wang, Yi
    Zhang, Wei
    2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, : 1661 - 1665