3D-2D image registration in the presence of soft-tissue deformation in image-guided transbronchial interventions

被引:3
作者
Vijayan, R. [1 ]
Sheth, N. [1 ]
Mekki, L. [1 ]
Lu, A. [1 ]
Uneri, A. [1 ]
Sisniega, A. [1 ]
Magaraggia, J. [2 ]
Kleinszig, G. [2 ]
Vogt, S. [2 ]
Thiboutot, J. [3 ]
Lee, H. [3 ]
Yarmus, L. [3 ]
Siewerdsen, J. H. [1 ,4 ]
机构
[1] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21218 USA
[2] Siemens Healthineers, Erlangen, Germany
[3] Johns Hopkins Med Inst, Div Pulm & Crit Care Med, Baltimore, MD USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Imaging Phys, Houston, TX 77070 USA
关键词
deformable image registration; 3D-2D image registration; pulmonary interventions; fluoroscopy; cone-beam CT; lung nodules; transbronchial biopsy; ENDOBRONCHIAL ULTRASOUND; RESPIRATORY MOTION; LUNG; CT; FLUOROSCOPY; BRONCHOSCOPY; FEASIBILITY; ALGORITHM; ACCURACY; BIOPSY;
D O I
10.1088/1361-6560/ac9e3c
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Purpose. Target localization in pulmonary interventions (e.g. transbronchial biopsy of a lung nodule) is challenged by deformable motion and may benefit from fluoroscopic overlay of the target to provide accurate guidance. We present and evaluate a 3D-2D image registration method for fluoroscopic overlay in the presence of tissue deformation using a multi-resolution/multi-scale (MRMS) framework with an objective function that drives registration primarily by soft-tissue image gradients. Methods. The MRMS method registers 3D cone-beam CT to 2D fluoroscopy without gating of respiratory phase by coarse-to-fine resampling and global-to-local rescaling about target regions-of-interest. A variation of the gradient orientation ( GO iso). Phantom studies determined nominal algorithm parameters and capture range. Preclinical studies used a freshly deceased, ventilated porcine specimen to evaluate performance in the presence of real tissue deformation and a broad range of 3D-2D image mismatch. Results. Nominal algorithm parameters were identified that provided robust performance over a broad range of motion (0-20 mm), including an adaptive parameter selection technique to accommodate unknown mismatch in respiratory phase. The GO & PRIME; iso = 1.2 mm, compared to 6.2 mm for conventional GO. GO & PRIME;
引用
收藏
页数:19
相关论文
共 42 条
  • [1] Visually Navigated Bronchoscopy using three cycle-Consistent generative adversarial network for depth estimation
    Banach, Artur
    King, Franklin
    Masaki, Fumitaro
    Tsukada, Hisashi
    Hata, Nobuhiko
    [J]. MEDICAL IMAGE ANALYSIS, 2021, 73
  • [2] Robot-assisted bronchoscopy for pulmonary lesion diagnosis: results from the initial multicenter experience
    Chaddha, Udit
    Kovacs, Stephen P.
    Manley, Christopher
    Hogarth, D. Kyle
    Cumbo-Nacheli, Gustavo
    Bhavani, Sivasubramanium V.
    Kumar, Rohit
    Shende, Manisha
    Egan, John P., III
    Murgu, Septimiu
    [J]. BMC PULMONARY MEDICINE, 2019, 19 (01)
  • [3] Mobile 3-dimensional (3D) C-arm system-assisted transbronchial biopsy and ablation for ground-glass opacity pulmonary nodules: a case report
    Chen, Junxiang
    Xie, Fangfang
    Zheng, Xiaoxuan
    Li, Ying
    Liu, Shuaiyang
    Ma, Kevin C.
    Goto, Taichiro
    Mueller, Tobias
    Chan, Edward D.
    Sun, Jiayuan
    [J]. TRANSLATIONAL LUNG CANCER RESEARCH, 2021, 10 (07) : 3312 - 3319
  • [4] Accurate technique for complete geometric calibration of cone-beam computed tomography systems
    Cho, YB
    Moseley, DJ
    Siewerdsen, JH
    Jaffray, DA
    [J]. MEDICAL PHYSICS, 2005, 32 (04) : 968 - 983
  • [5] Endobronchial Navigation Guided by Cone-Beam CT-Based Augmented Fluoroscopy without a Bronchoscope: Feasibility Study in Phantom and Swine
    de Ruiter, Quirina M. B.
    Karanian, John W.
    Bakhutashvili, Ivane
    Esparza-Trujillo, Juan A.
    Varble, Nicole A.
    van der Sterren, William
    Schampaert, Stephanie
    van der Bom, Imramsjah M. J.
    Li, Xiaobai
    Mauda-Havakuk, Michal
    Fontana, Joseph R.
    Pritchard, William F.
    Wood, Bradford J.
    [J]. JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY, 2020, 31 (12) : 2122 - 2131
  • [6] 3D-2D image registration for target localization in spine surgery: investigation of similarity metrics providing robustness to content mismatch
    De Silva, T.
    Uneri, A.
    Ketcha, M. D.
    Reaungamornrat, S.
    Kleinszig, G.
    Vogt, S.
    Aygun, N.
    Lo, S-F
    Wolinsky, J-P
    Siewerdsen, J. H.
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2016, 61 (08) : 3009 - 3025
  • [7] Folch EE, 2020, AM J RESP CRIT CARE, V201
  • [8] Electromagnetic Navigation Bronchoscopy for Peripheral Pulmonary Lesions: One-Year Results of the Prospective, Multicenter NAVIGATE Study
    Folch, Erik E.
    Pritchett, Michael A.
    Nead, Michael A.
    Bowling, Mark R.
    Murgu, Septimiu D.
    Krimsky, William S.
    Murillo, Boris A.
    LeMense, Gregory P.
    Minnich, Douglas J.
    Bansal, Sandeep
    Ellis, Blesilda Q.
    Mahajan, Amit K.
    Gildea, Thomas R.
    Bechara, Rabih I.
    Sztejman, Eric
    Flandes, Javier
    Rickman, Otis B.
    Benzaquen, Sadia
    Hogarth, D. Kyle
    Linden, Philip A.
    Wahidi, Momen M.
    Mattingley, Jennifer S.
    Hood, Kristin L.
    Lin, Haiying
    Wolvers, Jennifer J.
    Khandhar, Sandeep J.
    Anciano, Carlos
    Aragaki, Alejandro
    Arenberg, Douglas
    Awais, Omar
    Balestra, Ricardo
    Bansal, Sandeep
    Barisione, Emanuela
    Bechara, Rabih
    Benzaquen, Sadia
    Bezzi, Michela
    Bhadra, Krishnendu
    Bird, Julio
    Blanco, Alessandro
    Bowling, Mark
    Cerfolio, Robert
    Christensen, Merete
    Cicenia, Joseph
    Courey, Antony
    Doty, John
    Eggleston, Kevin
    Ellis, Blesilda
    Fernandez, Iker
    Flandes, Javier
    Folch, Erik
    [J]. JOURNAL OF THORACIC ONCOLOGY, 2019, 14 (03) : 445 - 458
  • [9] Real-Time 2D-3D Deformable Registration with Deep Learning and Application to Lung Radiotherapy Targeting
    Foote, Markus D.
    Zimmerman, Blake E.
    Sawant, Amit
    Joshi, Sarang C.
    [J]. INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2019, 2019, 11492 : 265 - 276
  • [10] Completely derandomized self-adaptation in evolution strategies
    Hansen, N
    Ostermeier, A
    [J]. EVOLUTIONARY COMPUTATION, 2001, 9 (02) : 159 - 195