Automatic coregistration of volumetric images based on implanted fiducial markers

被引:3
|
作者
Koch, Martin [1 ,2 ]
Maltz, Jonathan S. [1 ]
Belongie, Serge J. [3 ]
Gangadharan, Bijumon [1 ]
Bose, Supratik [1 ]
Shukla, Himanshu [1 ]
Bani-Hashemi, Ali R. [1 ]
机构
[1] Siemens Med Solut USA Inc, Oncol Care Syst Grp, Concord, CA 94520 USA
[2] Univ Erlangen Nurnberg, Chair Pattern Recognit, D-91058 Erlangen, Germany
[3] Univ Calif San Diego, Dept Comp Sci & Engn, La Jolla, CA 92093 USA
关键词
fiducial markers; point-based registration; image-guided radiation therapy;
D O I
10.1118/1.2975153
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The accurate delivery of external beam radiation therapy is often facilitated through the implantation of radio-opaque fiducial markers (gold seeds). Before the delivery of each treatment fraction, seed positions can be determined via low dose volumetric imaging. By registering these seed locations with the corresponding locations in the previously acquired treatment planning computed tomographic (CT) scan, it is possible to adjust the patient position so that seed displacement is accommodated. The authors present an unsupervised automatic algorithm that identifies seeds in both planning and pretreatment images and subsequently determines a rigid geometric transformation between the two sets. The algorithm is applied to the imaging series of ten prostate cancer patients. Each test series is comprised of a single multislice planning CT and multiple megavoltage conebeam (MVCB) images. Each MVCB dataset is obtained immediately prior to a subsequent treatment session. Seed locations were determined to within 1 mm with an accuracy of 97 +/- 6.1% for datasets obtained by application of a mean imaging dose of 3.5 cGy per study. False positives occurred in three separate instances, but only when datasets were obtained at imaging doses too low to enable fiducial resolution by a human operator, or when the prostate gland had undergone large displacement or significant deformation. The registration procedure requires under nine seconds of computation time on a typical contemporary computer workstation. (C) 2008 American Association of Physicists in Medicine.
引用
收藏
页码:4513 / 4523
页数:11
相关论文
共 50 条
  • [41] Development and clinical evaluation of automatic fiducial detection for tumor tracking in cine megavoltage images during volumetric modulated arc therapy
    Azcona, Juan Diego
    Li, Ruijiang
    Mok, Edward
    Hancock, Steven
    Xing, Lei
    [J]. MEDICAL PHYSICS, 2013, 40 (03)
  • [42] Fluoroscopic gating without implanted fiducial markers for lung cancer radiotherapy based on support vector machines
    Cui, Ying
    Dy, Jennifer G.
    Alexander, Brian
    Jiang, Steve B.
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2008, 53 (16): : N315 - N327
  • [43] Evaluation of Deep Learning-Based Algorithms for Tracking of Implanted Fiducial Markers in Pancreatic Cancer Patients
    Ahmed, A.
    Mylonas, A.
    Gargett, M.
    Madden, L.
    Chrystall, D.
    Brown, R.
    Briggs, A.
    Nguyen, D.
    Keall, P.
    Kneebone, A.
    Hruby, G.
    Booth, J.
    [J]. MEDICAL PHYSICS, 2022, 49 (06) : E744 - E745
  • [44] The detectability and localization accuracy of implanted fiducial markers determined on in-room computerized tomography (CT) and electronic portal images (EPI)
    Owen, Rebecca
    Kron, Tomas
    Foroudi, Farshad
    Cox, Jennifer
    Zhu, Li
    Cramb, Jim
    Sparks, Laura
    Duchesne, Gillian
    [J]. MEDICAL DOSIMETRY, 2008, 33 (03) : 226 - 233
  • [45] Design of a Novel Device to Provide Assured Seating of Bone Implanted Fiducial Markers
    Mitchell, Jason
    Labadie, Robert F.
    Fitzpatrick, J. Michael
    [J]. JOURNAL OF MEDICAL DEVICES-TRANSACTIONS OF THE ASME, 2010, 4 (02):
  • [46] ArUcOmni: detection of highly reliable fiducial markers in panoramic images
    Hajjami, Jaouad
    Caracotte, Jordan
    Caron, Guillaume
    Napoleon, Thibault
    [J]. 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), 2020, : 2693 - 2699
  • [47] On the alignment of transmission electron microscope images without fiducial markers
    Brandt, S
    Heikkonen, J
    Engelhardt, P
    [J]. 16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS, 2002, : 278 - 281
  • [48] Vision-based positioning of Unmanned Surface Vehicles using Fiducial Markers for automatic docking
    Digerud, Lars
    Volden, Oystein
    Christensen, Kim A.
    Kohtala, Sampsa
    Steinert, Martin
    [J]. IFAC PAPERSONLINE, 2022, 55 (31): : 78 - 84
  • [49] Automatically Pick Fiducial Markers in Electron Tomography Tilt Images
    Tian, Qingyuan
    Ofverstedt, Lars-Goran
    Skoglund, Ulf
    [J]. 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATICS AND BIOMEDICAL SCIENCES (ICIIBMS), 2015, : 33 - 38
  • [50] Registration of head volume images using implantable fiducial markers
    Maurer, CR
    Fitzpatrick, JM
    Wang, MY
    Galloway, RL
    Maciunas, RJ
    Allen, GS
    [J]. IMAGE PROCESSING - MEDICAL IMAGING 1997, PTS 1 AND 2, 1997, 3034 : 561 - 579