Literature DB >> 25503592

2D-3D radiograph to cone-beam computed tomography (CBCT) registration for C-arm image-guided robotic surgery.

Wen Pei Liu1, Yoshito Otake, Mahdi Azizian, Oliver J Wagner, Jonathan M Sorger, Mehran Armand, Russell H Taylor.   

Abstract

PURPOSE: C-arm radiographs are commonly used for intraoperative image guidance in surgical interventions. Fluoroscopy is a cost-effective real-time modality, although image quality can vary greatly depending on the target anatomy. Cone-beam computed tomography (CBCT) scans are sometimes available, so 2D-3D registration is needed for intra-procedural guidance. C-arm radiographs were registered to CBCT scans and used for 3D localization of peritumor fiducials during a minimally invasive thoracic intervention with a da Vinci Si robot.
METHODS: Intensity-based 2D-3D registration of intraoperative radiographs to CBCT was performed. The feasible range of X-ray projections achievable by a C-arm positioned around a da Vinci Si surgical robot, configured for robotic wedge resection, was determined using phantom models. Experiments were conducted on synthetic phantoms and animals imaged with an OEC 9600 and a Siemens Artis zeego, representing the spectrum of different C-arm systems currently available for clinical use.
RESULTS: The image guidance workflow was feasible using either an optically tracked OEC 9600 or a Siemens Artis zeego C-arm, resulting in an angular difference of Δθ:∼ 30°. The two C-arm systems provided TRE mean ≤ 2.5 mm and TRE mean ≤ 2.0 mm, respectively (i.e., comparable to standard clinical intraoperative navigation systems).
CONCLUSIONS: C-arm 3D localization from dual 2D-3D registered radiographs was feasible and applicable for intraoperative image guidance during da Vinci robotic thoracic interventions using the proposed workflow. Tissue deformation and in vivo experiments are required before clinical evaluation of this system.

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Year:  2014        PMID: 25503592      PMCID: PMC4476946          DOI: 10.1007/s11548-014-1132-7

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  29 in total

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3.  Predicting error in rigid-body point-based registration.

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Journal:  IEEE Trans Med Imaging       Date:  1998-10       Impact factor: 10.048

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5.  3D-2D registration for surgical guidance: effect of projection view angles on registration accuracy.

Authors:  A Uneri; Y Otake; A S Wang; G Kleinszig; S Vogt; A J Khanna; J H Siewerdsen
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6.  Three-dimensional lung tumor segmentation from x-ray computed tomography using sparse field active models.

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7.  First experiences with the da Vinci operating robot in thoracic surgery.

Authors:  J Bodner; H Wykypiel; G Wetscher; T Schmid
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9.  A study of the anatomic changes and dosimetric consequences in adaptive CRT of non-small-cell lung cancer using deformable CT and CBCT image registration.

Authors:  Changsheng Ma; Yong Hou; Hongsheng Li; Dengwang Li; Yingjie Zhang; Siye Chen; Yong Yin
Journal:  Technol Cancer Res Treat       Date:  2013-08-02

10.  Robust 3D-2D image registration: application to spine interventions and vertebral labeling in the presence of anatomical deformation.

Authors:  Yoshito Otake; Adam S Wang; J Webster Stayman; Ali Uneri; Gerhard Kleinszig; Sebastian Vogt; A Jay Khanna; Ziya L Gokaslan; Jeffrey H Siewerdsen
Journal:  Phys Med Biol       Date:  2013-11-18       Impact factor: 3.609

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  1 in total

1.  Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT.

Authors:  Axel Sahovaler; Michael J Daly; Harley H L Chan; Prakash Nayak; Sharon Tzelnick; Michelle Arkhangorodsky; Jimmy Qiu; Robert Weersink; Jonathan C Irish; Peter Ferguson; Jay S Wunder
Journal:  JB JS Open Access       Date:  2022-05-05
  1 in total

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