Literature DB >> 29487882

Virtual fluoroscopy for intraoperative C-arm positioning and radiation dose reduction.

Tharindu De Silva1, Joshua Punnoose1, Ali Uneri1, Mahadevappa Mahesh2, Joseph Goerres1, Matthew Jacobson1, Michael D Ketcha1, Amir Manbachi1, Sebastian Vogt3, Gerhard Kleinszig3, Akhil Jay Khanna4, Jean-Paul Wolinksy5, Jeffrey H Siewerdsen1,2,5, Greg Osgood4.   

Abstract

Positioning of an intraoperative C-arm to achieve clear visualization of a particular anatomical feature often involves repeated fluoroscopic views, which cost time and radiation exposure to both the patient and surgical staff. A system for virtual fluoroscopy (called FluoroSim) that could dramatically reduce time- and dose-spent "fluoro-hunting" by leveraging preoperative computed tomography (CT), encoded readout of C-arm gantry position, and automatic 3D-2D image registration has been developed. The method is consistent with existing surgical workflow and does not require additional tracking equipment. Real-time virtual fluoroscopy was achieved via mechanical encoding of the C-arm motion, C-arm geometric calibration, and patient registration using a single radiograph. The accuracy, time, and radiation dose associated with C-arm positioning were measured for FluoroSim in comparison with conventional methods. Five radiology technologists were tasked with acquiring six standard pelvic views pertinent to sacro-illiac, anterior-inferior iliac spine, and superior-ramus screw placement in an anthropomorphic pelvis phantom using conventional and FluoroSim approaches. The positioning accuracy, exposure time, number of exposures, and total time for each trial were recorded, and radiation dose was characterized in terms of entrance skin dose and in-room scatter. The geometric accuracy of FluoroSim was measured to be [Formula: see text]. There was no significant difference ([Formula: see text]) observed in the accuracy or total elapsed time for C-arm positioning. However, the total fluoroscopy time required to achieve the desired view decreased by 4.1 s ([Formula: see text] for conventional, compared with [Formula: see text] for FluoroSim, [Formula: see text]), and the total number of exposures reduced by 4.0 ([Formula: see text] for conventional, compared with [Formula: see text] for FluoroSim, [Formula: see text]). These reductions amounted to a 50% to 78% decrease in patient entrance skin dose and a 55% to 70% reduction in in-room scatter. FluoroSim was found to reduce the radiation exposure required in C-arm positioning without diminishing positioning time or accuracy, providing a potentially valuable tool to assist technologists and surgeons.

Entities:  

Keywords:  3D–2D registration; digitally reconstructed radiographs; image-guided surgery; orthopedic surgery; virtual fluoroscopy

Year:  2018        PMID: 29487882      PMCID: PMC5812884          DOI: 10.1117/1.JMI.5.1.015005

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  16 in total

1.  Camera augmented mobile C-arm (CAMC): calibration, accuracy study, and clinical applications.

Authors:  Nassir Navab; Sandro-Michael Heining; Joerg Traub
Journal:  IEEE Trans Med Imaging       Date:  2010-07       Impact factor: 10.048

2.  Informatics in radiology: use of a C-arm fluoroscopy simulator to support training in intraoperative radiography.

Authors:  Oliver Johannes Bott; Klaus Dresing; Markus Wagner; Björn-Werner Raab; Michael Teistler
Journal:  Radiographics       Date:  2011-02-25       Impact factor: 5.333

3.  Evaluation of low-dose limits in 3D-2D rigid registration for surgical guidance.

Authors:  A Uneri; A S Wang; Y Otake; G Kleinszig; S Vogt; A J Khanna; G L Gallia; Z L Gokaslan; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2014-08-22       Impact factor: 3.609

4.  Automatic Masking for Robust 3D-2D Image Registration in Image-Guided Spine Surgery.

Authors:  M D Ketcha; T De Silva; A Uneri; G Kleinszig; S Vogt; J-P Wolinsky; J H Siewerdsen
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-18

5.  Multi-stage 3D-2D registration for correction of anatomical deformation in image-guided spine surgery.

Authors:  M D Ketcha; T De Silva; A Uneri; M W Jacobson; J Goerres; G Kleinszig; S Vogt; J-P Wolinsky; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2017-04-04       Impact factor: 3.609

6.  3D-2D image registration for target localization in spine surgery: investigation of similarity metrics providing robustness to content mismatch.

Authors:  T De Silva; A Uneri; M D Ketcha; S Reaungamornrat; G Kleinszig; S Vogt; N Aygun; S-F Lo; J-P Wolinsky; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2016-03-18       Impact factor: 3.609

7.  Automatic localization of vertebral levels in x-ray fluoroscopy using 3D-2D registration: a tool to reduce wrong-site surgery.

Authors:  Y Otake; S Schafer; J W Stayman; W Zbijewski; G Kleinszig; R Graumann; A J Khanna; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2012-08-03       Impact factor: 3.609

Review 8.  Intraoperative fluoroscopic evaluation of screw placement during pelvic and acetabular surgery.

Authors:  Chengla Yi; Sean Burns; David J Hak
Journal:  J Orthop Trauma       Date:  2014-01       Impact factor: 2.512

9.  Deformable 3D-2D Registration for Guiding K-Wire Placement in Pelvic Trauma Surgery.

Authors:  J Goerres; M Jacobson; A Uneri; T De Silva; M Ketcha; S Reaungamornrat; S Vogt; G Kleinszig; J-P Wolinsky; G Osgood; J H Siewerdsen
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03

10.  Utility of the LevelCheck Algorithm for Decision Support in Vertebral Localization.

Authors:  Tharindu De Silva; Sheng-Fu L Lo; Nafi Aygun; Daniel M Aghion; Akwasi Boah; Rory Petteys; Ali Uneri; Michael D Ketcha; Thomas Yi; Sebastian Vogt; Gerhard Kleinszig; Wei Wei; Markus Weiten; Xiaobu Ye; Ali Bydon; Daniel M Sciubba; Timothy F Witham; Jean-Paul Wolinsky; Jeffrey H Siewerdsen
Journal:  Spine (Phila Pa 1976)       Date:  2016-10-15       Impact factor: 3.241

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  5 in total

1.  Preclinical evaluation of a prototype freehand drill video guidance system for orthopedic surgery.

Authors:  Niral Sheth; Prasad Vagdargi; Alejandro Sisniega; Ali Uneri; Gregory Osgood; Jeffrey H Siewerdsen
Journal:  J Med Imaging (Bellingham)       Date:  2022-08-26

2.  Development of a fluoroscopically guided robotic assistant for instrument placement in pelvic trauma surgery.

Authors:  Rohan C Vijayan; Runze Han; Pengwei Wu; Niral M Sheth; Michael D Ketcha; Prasad Vagdargi; Sebastian Vogt; Gerhard Kleinszig; Greg M Osgood; Jeffrey H Siewerdsen; Ali Uneri
Journal:  J Med Imaging (Bellingham)       Date:  2021-06-09

3.  Augmented reality-based feedback for technician-in-the-loop C-arm repositioning.

Authors:  Mathias Unberath; Javad Fotouhi; Jonas Hajek; Andreas Maier; Greg Osgood; Russell Taylor; Mehran Armand; Nassir Navab
Journal:  Healthc Technol Lett       Date:  2018-10-01

Review 4.  State-of-the-art of lumbar puncture and its place in the journey of patients with Alzheimer's disease.

Authors:  Harald Hampel; Leslie M Shaw; Paul Aisen; Christopher Chen; Alberto Lleó; Takeshi Iwatsubo; Atsushi Iwata; Masahito Yamada; Takeshi Ikeuchi; Jianping Jia; Huali Wang; Charlotte E Teunissen; Elaine Peskind; Kaj Blennow; Jeffrey Cummings; Andrea Vergallo
Journal:  Alzheimers Dement       Date:  2021-05-27       Impact factor: 16.655

5.  Development of pre-procedure virtual simulation for challenging interventional procedures: an experimental study with clinical application.

Authors:  Hyunyoung Seong; Daehun Yun; Kyung Seob Yoon; Ji Soo Kwak; Jae Chul Koh
Journal:  Korean J Pain       Date:  2022-10-01
  5 in total

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