title: Incorporation of Prior Knowledge for Region of Change Imaging from Sparse Scan Data in Image-Guided Surgery.
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 cone-beam CT (CBCT) test bench and vertebroplasty data with a fresh cadaver acquired from a C-arm CBCT system with a flat-panel detector (FPD).
authors.affiliation: Department of Electrical and Computer Eng., Johns Hopkins University, Baltimore, MD, USA.
authors.forename: J
authors.initials: J
authors.lastname: Lee
authors.affiliation: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
authors.forename: J W
authors.initials: JW
authors.lastname: Stayman
authors.affiliation: Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
authors.forename: Y
authors.initials: Y
authors.lastname: Otake
authors.affiliation: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
authors.forename: S
authors.initials: S
authors.lastname: Schafer
authors.affiliation: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
authors.forename: W
authors.initials: W
authors.lastname: Zbijewski
authors.affiliation: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA ; Department of Orthopaedic Surgery, Johns Hopkins University, Baltimore, MD, USA.
authors.forename: A J
authors.initials: AJ
authors.lastname: Khanna
authors.affiliation: Department of Electrical and Computer Eng., Johns Hopkins University, Baltimore, MD, USA.
authors.forename: J L
authors.initials: JL
authors.lastname: Prince
authors.affiliation: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA ; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
authors.forename: J H
authors.initials: JH
authors.lastname: Siewerdsen
keywords: C-arm; Prior knowledge; difference images; image-guided surgery; penalized likelihood reconstruction; region of change imaging; sparse scan