3D RECONSTRUCTION FROM MULTI-VIEW MEDICAL X-RAY IMAGES - REVIEW AND EVALUATION OF EXISTING METHODS

被引:10
|
作者
Hosseinian, S. [1 ]
Arefi, H. [1 ]
机构
[1] Univ Tehran, Sch Surveying & GeoSpatial Engn, Tehran, Iran
来源
INTERNATIONAL CONFERENCE ON SENSORS & MODELS IN REMOTE SENSING & PHOTOGRAMMETRY | 2015年 / 41卷 / W5期
关键词
Stereoradiography; 3D Reconstruction; X-ray images; close range photogrammetry; SCOLIOTIC VERTEBRAE; NSCP TECHNIQUE; MODELS; SPINE; REGISTRATION; RADIOGRAPHY; VALIDATION; POINTS; PELVIS; LIMB;
D O I
10.5194/isprsarchives-XL-1-W5-319-2015
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The 3D concept is extremely important in clinical studies of human body. Accurate 3D models of bony structures are currently required in clinical routine for diagnosis, patient follow-up, surgical planning, computer assisted surgery and biomechanical applications. However, 3D conventional medical imaging techniques such as computed tomography (CT) scan and magnetic resonance imaging (MRI) have serious limitations such as using in non-weight-bearing positions, costs and high radiation dose(for CT). Therefore, 3D reconstruction methods from biplanar X-ray images have been taken into consideration as reliable alternative methods in order to achieve accurate 3D models with low dose radiation in weight-bearing positions. Different methods have been offered for 3D reconstruction from X-ray images using photogrammetry which should be assessed. In this paper, after demonstrating the principles of 3D reconstruction from X-ray images, different existing methods of 3D reconstruction of bony structures from radiographs are classified and evaluated with various metrics and their advantages and disadvantages are mentioned. Finally, a comparison has been done on the presented methods with respect to several metrics such as accuracy, reconstruction time and their applications. With regards to the research, each method has several advantages and disadvantages which should be considered for a specific application.
引用
收藏
页码:319 / 326
页数:8
相关论文
共 50 条
  • [21] A general deep learning based framework for 3D reconstruction from multi-view stereo satellite images
    Gao, Jian
    Liu, Jin
    Ji, Shunping
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2023, 195 : 446 - 461
  • [22] PIXGAN-Drone: 3D Avatar of Human Body Reconstruction From Multi-View 2D Images
    Rasheed, Ali Salim
    Jabberi, Marwa
    Hamdani, Tarek M.
    Alimi, Adel M.
    IEEE ACCESS, 2024, 12 : 74762 - 74776
  • [23] Image Selection in Photogrammetric Multi-View Stereo Methods for Metric and Complete 3D Reconstruction
    Ahmadabadian, Ali Hosseininaveh
    Robson, Stuart
    Boehm, Jan
    Shortis, Mark
    VIDEOMETRICS, RANGE IMAGING, AND APPLICATIONS XII; AND AUTOMATED VISUAL INSPECTION, 2013, 8791
  • [24] Fully automatic reconstruction of personalized 3D volumes of the proximal femur from 2D X-ray images
    Yu, Weimin
    Chu, Chengwen
    Tannast, Moritz
    Zheng, Guoyan
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2016, 11 (09) : 1673 - 1685
  • [25] 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
  • [26] Engineering Monitoring and Change Detection for Multi-View Stereo 3D Reconstruction Technology
    Chang T.-R.
    Lee L.-H.
    Journal of the Chinese Institute of Civil and Hydraulic Engineering, 2019, 31 (04): : 337 - 350
  • [27] Unsupervised 3D reconstruction method based on multi-view propagation
    Luo J.
    Yuan D.
    Zhang L.
    Qu Y.
    Su S.
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2024, 42 (01): : 129 - 137
  • [28] Pruning multi-view stereo net for efficient 3D reconstruction
    Xiang, Xiang
    Wang, Zhiyuan
    Lao, Shanshan
    Zhang, Baochang
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 168 (168) : 17 - 27
  • [29] Simple and precise multi-view camera calibration for 3D reconstruction
    Perez, Alberto J.
    Perez-Cortes, Juan-Carlos
    Guardiola, Jose-Luis
    COMPUTERS IN INDUSTRY, 2020, 123
  • [30] A multi-stage neural network approach for coronary 3D reconstruction from uncalibrated X-ray angiography images
    Iyer, Kritika
    Nallamothu, Brahmajee K.
    Figueroa, C. Alberto
    Nadakuditi, Raj R.
    SCIENTIFIC REPORTS, 2023, 13 (01)