Incorporation of prior knowledge for region of change imaging from sparse scan data in image-guided surgery

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

Abstract

This paper proposes to utilize a patient-specific prior to augment intraoperative sparse-scan data to accurately reconstruct the aspects of the region that have changed by a surgical procedure in image-guided surgeries. When anatomical changes are introduced by a surgical procedure, only a sparse set of x-ray images are acquired, and the prior volume is registered to these data. Since all the information of the patient anatomy except for the surgical change is already known from the prior volume, we highlight only the change by creating difference images between the new scan and digitally reconstructed radiographs (DRR) computed from the registered prior volume. The region of change (RoC) is reconstructed from these sparse difference images by a penalized likelihood (PL) reconstruction method regularized by a compressed sensing penalty. When the surgical changes are local and relatively small, the RoC reconstruction involves only a small volume size and a small number of projections, allowing much faster computation and lower radiation dose than is needed to reconstruct the entire surgical volume. The reconstructed RoC merges with the prior volume to visualize an updated surgical field. We apply this novel approach to sacroplasty phantom data obtained from a conebeam CT (CBCT) test bench and vertebroplasty data with a fresh cadaver acquired from a C-arm CBCT system with a flat-panel detector (FPD).

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8316
DOIs
StatePublished - 2012
EventMedical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, CA, United States
Duration: Feb 5 2012Feb 7 2012

Other

OtherMedical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CitySan Diego, CA
Period2/5/122/7/12

Fingerprint

Computer-Assisted Surgery
Compressed sensing
surgery
Surgery
Dosimetry
Detectors
Imaging techniques
X rays
Vertebroplasty
Cadaver
Anatomy
X-Rays
Radiation
anatomy
penalties
seats
projection
dosage
detectors
radiation

Keywords

  • C-arm
  • difference images
  • image-guided surgery
  • penalized likelihood reconstruction
  • Prior knowledge
  • region of change imaging
  • sparse scan

ASJC Scopus subject areas

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

Cite this

Incorporation of prior knowledge for region of change imaging from sparse scan data in image-guided surgery. / Lee, Junghoon; Stayman, Joseph Webster; Otake, Y.; Schafer, S.; Zbijewski, Wojciech; Khanna, A Jay; Prince, Jerry Ladd; Siewerdsen, Jeff.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8316 2012. 831603.

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

Lee, J, Stayman, JW, Otake, Y, Schafer, S, Zbijewski, W, Khanna, AJ, Prince, JL & Siewerdsen, J 2012, Incorporation of prior knowledge for region of change imaging from sparse scan data in image-guided surgery. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 8316, 831603, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, United States, 2/5/12. https://doi.org/10.1117/12.910850
Lee J, Stayman JW, Otake Y, Schafer S, Zbijewski W, Khanna AJ et al. Incorporation of prior knowledge for region of change imaging from sparse scan data in image-guided surgery. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8316. 2012. 831603 https://doi.org/10.1117/12.910850
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