Multimodal Registration for Image-Guided EBUS Bronchoscopy

被引:4
|
作者
Zang, Xiaonan [1 ]
Zhao, Wennan [1 ]
Toth, Jennifer [2 ]
Bascom, Rebecca [2 ]
Higgins, William [1 ]
机构
[1] Penn State Univ, Sch Elect Engn & Comp Sci, State Coll, PA 16802 USA
[2] Penn State Milton S Hershey Med Ctr, Hershey, PA 17033 USA
关键词
bronchoscopy; endobronchial ultrasound; image registration; image-guided surgery systems; multimodal imaging; lung cancer; TRANSBRONCHIAL NEEDLE ASPIRATION; PERIPHERAL LUNG LESIONS; ENDOBRONCHIAL ULTRASOUND; DIAGNOSTIC YIELD; VIRTUAL BRONCHOSCOPY; GUIDANCE; SYSTEM; SEGMENTATION; REAL;
D O I
10.3390/jimaging8070189
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
The state-of-the-art procedure for examining the lymph nodes in a lung cancer patient involves using an endobronchial ultrasound (EBUS) bronchoscope. The EBUS bronchoscope integrates two modalities into one device: (1) videobronchoscopy, which gives video images of the airway walls; and (2) convex-probe EBUS, which gives 2D fan-shaped views of extraluminal structures situated outside the airways. During the procedure, the physician first employs videobronchoscopy to navigate the device through the airways. Next, upon reaching a given node's approximate vicinity, the physician probes the airway walls using EBUS to localize the node. Due to the fact that lymph nodes lie beyond the airways, EBUS is essential for confirming a node's location. Unfortunately, it is well-documented that EBUS is difficult to use. In addition, while new image-guided bronchoscopy systems provide effective guidance for videobronchoscopic navigation, they offer no assistance for guiding EBUS localization. We propose a method for registering a patient's chest CT scan to live surgical EBUS views, thereby facilitating accurate image-guided EBUS bronchoscopy. The method entails an optimization process that registers CT-based virtual EBUS views to live EBUS probe views. Results using lung cancer patient data show that the method correctly registered 28/28 (100%) lymph nodes scanned by EBUS, with a mean registration time of 3.4 s. In addition, the mean position and direction errors of registered sites were 2.2 mm and 11.8 degrees, respectively. In addition, sensitivity studies show the method's robustness to parameter variations. Lastly, we demonstrate the method's use in an image-guided system designed for guiding both phases of EBUS bronchoscopy.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Image-Guided System for Radial-Probe Endobronchial Ultrasound Bronchoscopy
    Zhao, Wennan
    Ahmad, Danish
    Toth, Jennifer
    Bascom, Rebecca
    Higgins, William E.
    MEDICAL IMAGING 2022: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2022, 12034
  • [42] Image-Guided Bronchoscopy for Comprehensive Lymph Node Staging: A Phantom Study
    Higgins, W. E.
    Kuhlengel, T.
    Ahmad, D.
    Guck, D.
    Chopra, M.
    Shore, D.
    Nuschke, J.
    Bascom, R.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2022, 205
  • [43] An Indirect Multimodal Image Registration and Completion Method Guided by Image Synthesis
    Yang, Huan
    Qian, Pengjiang
    Fan, Chao
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2020, 2020
  • [44] CT-augmented digital tomosynthesis image reconstruction in image-guided bronchoscopy interventions
    Saad, Fatima
    Frysch, Robert
    Saalfeld, Sylvia
    Kellnberger, Stephan
    Schulz, Jessica
    Fahrig, Rebecca
    Bhadra, Krish
    Nuernberger, Andreas
    Rose, Georg
    MEDICAL PHYSICS, 2025, 52 (03) : 1468 - 1480
  • [45] Use of cortical surface vessel registration for image-guided neurosurgery
    Nakajima, S
    Atsumi, H
    Kikinis, R
    Moriarty, TM
    Metcalf, DC
    Jolesz, FA
    Black, PM
    NEUROSURGERY, 1997, 40 (06) : 1201 - 1208
  • [46] An Automatic Spatial Registration Method for Image-Guided Neurosurgery System
    Fan, Yifeng
    Yao, Xufeng
    Hu, Tingting
    Xu, Xiufang
    JOURNAL OF CRANIOFACIAL SURGERY, 2019, 30 (04) : E344 - E350
  • [47] A supervised network for fast image-guided radiotherapy (IGRT) registration
    Yao, Zhixin
    Feng, Hansheng
    Song, Yuntao
    Li, Shi
    Yang, Yang
    Liu, Lingling
    Liu, Chunbo
    JOURNAL OF MEDICAL SYSTEMS, 2019, 43 (07)
  • [48] HYBRID REGISTRATION TECHNIQUE FOR IMAGE-GUIDED RADIOTHERAPY OF PROSTATE CANCER
    de Boer, J.
    van Herk, M.
    de Bois, J.
    Sonke, J. J.
    RADIOTHERAPY AND ONCOLOGY, 2010, 96 : S173 - S174
  • [49] Deformable Registration for Margins Optimization in Prostate Image-guided Radiotherapy
    Cazoulat, G.
    Simon, A.
    Acosta, O.
    Louvel, G.
    Lafond, C.
    Jouyaux, F.
    Manens, J.
    Haigron, P.
    de Crevoisier, R.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2010, 78 (03): : S668 - S668
  • [50] Improving image-guided target localization through deformable registration
    Brock, Kristy K.
    Hawkins, Maria
    Eccles, Cynthia
    Moseley, Joanne L.
    Moseley, Douglas J.
    Jaffray, David A.
    Dawson, Laura A.
    ACTA ONCOLOGICA, 2008, 47 (07) : 1279 - 1285