3D registration of MR and X-ray spine images using an articulated model

被引:18
|
作者
Harmouche, Rola [1 ]
Cheriet, Farida [1 ]
Labelle, Hubert [2 ]
Dansereau, Jean [1 ]
机构
[1] Ecole Polytech, Montreal, PQ H3T 1J4, Canada
[2] Hop Ste Justine, Montreal, PQ H3T 1C5, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Articulated model; Magnetic resonance imaging; X-ray imaging; Multimodal medical image registration scoliosis; 3-D/2-D REGISTRATION; 2-D-3-D REGISTRATION; CEREBRAL VESSELS; VERTEBRAL BODIES; CT; RECONSTRUCTION; SYSTEM; SCOLIOSIS; GUIDANCE; INTRA;
D O I
10.1016/j.compmedimag.2012.03.003
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This paper presents a magnetic resonance image (MRI)/X-ray spine registration method that compensates for the change in the curvature of the spine between standing and prone positions for scoliotic patients. MRIs in prone position and X-rays in standing position are acquired for 14 patients with scoliosis. The 3D reconstructions of the spine are then aligned using an articulated model which calculates intervertebral transformations. Results show significant decrease in registration error when the proposed articulated model is compared with rigid registration. The method can be used as a basis for full body MRI/X-ray registration incorporating soft tissues for surgical simulation. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:410 / 418
页数:9
相关论文
共 50 条
  • [1] Articulated Model Registration of MRI/X-Ray Spine Data
    Harmouche, Rola
    Cheriet, Farida
    Labelle, Hubert
    Dansereau, Jean
    [J]. IMAGE ANALYSIS AND RECOGNITION, 2010, PT II, PROCEEDINGS, 2010, 6112 : 20 - +
  • [2] ARTICULATED REGISTRATION OF 3D HUMAN GEOMETRY TO X-RAY IMAGE
    Le, Sang N.
    Karlekar, Jayashree
    Fang, Anthony C.
    [J]. 2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5, 2008, : 1108 - 1111
  • [3] Gradient-based registration of 3D MR and 2D x-ray images
    Tomazevic, D
    Likar, B
    Pernus, F
    [J]. CARS 2001: COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2001, 1230 : 327 - 332
  • [4] Optimizing bone extraction in MR images for 3D/2D gradient based registration of MR and X-ray images
    Markelj, Primo
    Tomazevic, Dejan
    Pernus, Franjo
    Likar, Botjan
    [J]. MEDICAL IMAGING 2007: IMAGE PROCESSING, PTS 1-3, 2007, 6512
  • [5] Rigid 2D/3D registration of intraoperative digital X-ray images and preoperative CT and MR images
    Tomazevic, D
    Likar, B
    Pernus, F
    [J]. MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3, 2002, 4684 : 507 - 517
  • [6] 3-D/2-D registration of CT and MR to X-ray images
    Tomazevic, D
    Likar, B
    Slivnik, T
    Pernus, F
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2003, 22 (11) : 1407 - 1416
  • [7] Automated registration of 3D X-ray angiography images to magnetic resonance images
    Kerrien, E
    Lévrier, O
    Anxionnat, R
    Sauty, S
    Knoplioch, J
    [J]. MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3, 2001, 4322 : 623 - 632
  • [8] Noninvasive MR to 3D rotational X-ray registration of vertebral bodies
    van de Kraats, EB
    van Walsum, T
    Verlaan, JJ
    Niessen, WJ
    [J]. MEDICAL IMAGING 2003: IMAGE PROCESSING, PTS 1-3, 2003, 5032 : 1101 - 1108
  • [9] Registration of 3D angiographic and X-ray images using sequential Monte Carlo sampling
    Florin, C
    Williams, J
    Khamene, A
    Paragios, N
    [J]. COMPUTER VISION FOR BIOMEDICAL IMAGE APPLICATIONS, PROCEEDINGS, 2005, 3765 : 427 - 436
  • [10] Shape, Pose and Density Statistical Model for 3D Reconstruction of Articulated Structures from X-Ray Images
    Fotsin, Ted Julien Tchinde
    Vazquez, Carlos
    Cresson, Thierry
    De Guise, Jacques
    [J]. 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 2748 - 2751