Advanced image registration and reconstruction using the O-Arm system: Dose reduction, image quality, and guidance using known-component models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Purpose. Model-based image registration and reconstruction offer strong potential for improved safety and precision in image-guided interventions. Advantages include reduced radiation dose, improved soft-Tissue visibility (detection of complications), and accurate guidance with/without a dedicated navigation system. This work reports the development and performance of such methods on an O-Arm system for intraoperative imaging and translates them to first clinical studies. Methods. Two novel methodologies predicate the work: (1) Known-Component Registration (KC-Reg) for 3D localization of the patient and interventional devices from 2D radiographs; and (2) Penalized-Likelihood reconstruction (PLH) for improved 3D image quality and dose reduction. A thorough assessment of geometric stability, dosimetry, and image quality was performed to define algorithm parameters for imaging and guidance protocols. Laboratory studies included: evaluation of KC-Reg in localization of spine screws delivered in cadaver; and PLH performance in contrast, noise, and resolution in phantoms/cadaver compared to filtered backprojection (FBP). Results. KC-Reg was shown to successfully register screw implants within ∼1 mm based on as few as 3 radiographs. PLH was shown to improve soft-Tissue visibility (61% improvement in CNR) compared to FBP at matched resolution. Cadaver studies verified the selection of algorithm parameters and the methods were successfully translated to clinical studies under an IRB protocol. Conclusions. Model-based registration and reconstruction approaches were shown to reduce dose and provide improved visualization of anatomy and surgical instrumentation. Immediate future work will focus on further integration of KC-Reg and PLH for Known-Component Reconstruction (KC-Recon) to provide high-quality intraoperative imaging in the presence of dense instrumentation.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2018
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
EditorsBaowei Fei, Robert J. Webster
PublisherSPIE
ISBN (Electronic)9781510616417
DOIs
StatePublished - 2018
EventMedical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling - Houston, United States
Duration: Feb 12 2018Feb 15 2018

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10576
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CityHouston
Period2/12/182/15/18

Keywords

  • 3D-2D image registration
  • Image-guided surgery
  • Intraoperative imaging
  • Model-based image reconstruction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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    Uneri, A., Zhang, X., Stayman, J. W., Helm, P., Osgood, G. M., Theodore, N., & Siewerdsen, J. H. (2018). Advanced image registration and reconstruction using the O-Arm system: Dose reduction, image quality, and guidance using known-component models. In B. Fei, & R. J. Webster (Eds.), Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling [105761G] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10576). SPIE. https://doi.org/10.1117/12.2293874