3D measurements in conventional X-ray imaging with RGB-D sensors

被引:3
|
作者
Albiol, Francisco [1 ]
Corbi, Alberto [1 ]
Albiol, Alberto [2 ]
机构
[1] Univ Valencia, CSIC, Inst Fis Corpuscular, E-46003 Valencia, Spain
[2] Univ Politecn Valencia, Inst Telecomunicac Aplicac Multimedia iTeam, E-46022 Valencia, Spain
关键词
X-ray; Depth cameras; Epipolar geometry; 3D reconstruction; Movement tracking; Dense surface mapping; MICROSOFT KINECT; CALIBRATION;
D O I
10.1016/j.medengphy.2017.01.024
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A method for deriving 3D internal information in conventional X-ray settings is presented. It is based on the combination of a pair of radiographs from a patient and it avoids the use of X-ray-opaque fiducials and external reference structures. To achieve this goal, we augment an ordinary X-ray device with a consumer RGB-D camera. The patient' s rotation around the craniocaudal axis is tracked relative to this camera thanks to the depth information provided and the application of a modern surface-mapping algorithm. The measured spatial information is then translated to the reference frame of the X-ray imaging system. By using the intrinsic parameters of the diagnostic equipment, epipolar geometry, and X-ray images of the patient at different angles, 3D internal positions can be obtained. Both the RGB-D and Xray instruments are first geometrically calibrated to find their joint spatial transformation. The proposed method is applied to three rotating phantoms. The first two consist of an anthropomorphic head and a torso, which are filled with spherical lead bearings at precise locations. The third one is made of simple foam and has metal needles of several known lengths embedded in it. The results show that it is possible to resolve anatomical positions and lengths with a millimetric level of precision. With the proposed approach, internal 3D reconstructed coordinates and distances can be provided to the physician. It also contributes to reducing the invasiveness of ordinary X-ray environments and can replace other types of clinical explorations that are mainly aimed at measuring or geometrically relating elements that are present inside the patient's body.(C) 2017 IPEM. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:73 / 79
页数:7
相关论文
共 50 条
  • [21] Pinpoint SLAM: A Hybrid of 2D and 3D Simultaneous Localization and Mapping for RGB-D Sensors
    Ataer-Cansizoglu, Esra
    Taguchi, Yuichi
    Ramalingam, Srikumar
    2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2016, : 1300 - 1307
  • [22] 3D interventional imaging with 2D x-ray detectors
    Desbat, L
    Champleboux, G
    Fleute, M
    Komarek, P
    Mennessier, C
    Monteil, B
    Rodet, T
    Bessou, P
    Coulomb, M
    Ferretti, G
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION, MICCAI'99, PROCEEDINGS, 1999, 1679 : 973 - 980
  • [23] State of the Art on 3D Reconstruction with RGB-D Cameras
    Zollhoefer, Michael
    Stotko, Patrick
    Goerlitz, Andreas
    Theobalt, Christian
    Niessner, Matthias
    Klein, Reinhard
    Kolb, Andreas
    COMPUTER GRAPHICS FORUM, 2018, 37 (02) : 625 - 652
  • [24] Texture Mapping for 3D Reconstruction with RGB-D Sensor
    Fu, Yanping
    Yan, Qingan
    Yang, Long
    Liao, Jie
    Xiao, Chunxia
    2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2018, : 4645 - 4653
  • [25] Interactive Mapping in 3D Using RGB-D Data
    Vieira, Pedro
    Ventura, Rodrigo
    2012 IEEE INTERNATIONAL SYMPOSIUM ON SAFETY, SECURITY, AND RESCUE ROBOTICS (SSRR), 2012,
  • [26] InpaintFusion: Incremental RGB-D Inpainting for 3D Scenes
    Mori, Shohei
    Erat, Okan
    Broll, Wolfgang
    Saito, Hideo
    Schmalstieg, Dieter
    Kalkofen, Denis
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2020, 26 (10) : 2994 - 3007
  • [27] Extended GrabCut for 3D and RGB-D Point Clouds
    Sallem, Nizar K.
    Devy, Michel
    ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2013, 2013, 8192 : 354 - 365
  • [28] Basic 3D Solid Recognition in RGB-D Images
    Kornuta, Tomasz
    Stefanczyk, Maciej
    Kasprzak, Wlodzimierz
    RECENT ADVANCES IN AUTOMATION, ROBOTICS AND MEASURING TECHNIQUES, 2014, 267 : 421 - 430
  • [29] 3D Visual SLAM using RGB-D Camera
    Krerngkamjornkit, Rapee
    Simic, Milan
    SMART DIGITAL FUTURES 2014, 2014, 262 : 533 - 544
  • [30] iDFusion: Globally Consistent Dense 3D Reconstruction from RGB-D and Inertial Measurements
    Zhong, Dawei
    Han, Lei
    Fang, Lu
    PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19), 2019, : 962 - 970