Soft-tissue imaging in low-dose, C-arm cone-beam CT using statistical image reconstruction

Adam S. Wang, Sebastian Schafer, J. Webster Stayman, Yoshito Otake, Marc S. Sussman, A. Jay Khanna, Gary L. Gallia, Jeffrey H. Siewerdsen

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

Abstract

C-arm cone-beam CT (CBCT) is an emerging tool for intraoperative imaging, but current embodiments exhibit modest soft-tissue imaging capability and are largely constrained to high-contrast imaging tasks. A major advance in image quality is facilitated by statistical iterative reconstruction techniques. This work adapts a general penalized likelihood (PL) reconstruction approach with variable penalties and regularization to C-arm CBCT and investigates performance in imaging of large (>10 mm), low-contrast (<100 HU) tasks pertinent to soft-tissue surgical guidance. Experiments involved a mobile C-arm for CBCT with phantoms and cadavers presenting soft-tissue structures imaged using 3D filtered backprojection (FBP), quadratic, and non-quadratic PL reconstruction. Polyethylene phantoms with various tissue-equivalent inserts were used to quantify contrast-to-noise / resolution tradeoffs in low-contrast (~40 HU) structures, and the optimal reconstruction parameters were translated to imaging an anthropomorphic head phantom with low-contrasts targets and a cadaveric torso. Statistical reconstruction - especially non-quadratic PL variants - boosted soft-tissue image quality through reduction of noise and artifacts (e.g., a ~2-4 fold increase in contrast-to-noise ratio (CNR) at equivalent spatial resolution). For tasks relating to large, low-contrast tissues, even greater gains were possible using non-quadratic penalties and strong regularization that sacrificed spatial resolution in a manner still consistent with the imaging task. The advances in image quality offered by statistical reconstruction present promise and new challenges for interventional imaging, with high-speed computing facilitating realistic application. Careful investigation of performance relative to specific imaging tasks permits knowledgeable application of such techniques in a manner that overcomes conventional tradeoffs in noise, resolution, and dose and could extend application of CBCT-capable C-arms to soft-tissue interventions in neurosurgery as well as thoracic and abdominal interventions.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2013
Subtitle of host publicationPhysics of Medical Imaging
DOIs
StatePublished - Jun 3 2013
EventMedical Imaging 2013: Physics of Medical Imaging - Lake Buena Vista, FL, United States
Duration: Feb 11 2013Feb 14 2013

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8668
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2013: Physics of Medical Imaging
CountryUnited States
CityLake Buena Vista, FL
Period2/11/132/14/13

Keywords

  • Cone-beam CT
  • Image quality
  • Image-guided interventions
  • Imaging task
  • Statistical 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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  • Cite this

    Wang, A. S., Schafer, S., Stayman, J. W., Otake, Y., Sussman, M. S., Khanna, A. J., Gallia, G. L., & Siewerdsen, J. H. (2013). Soft-tissue imaging in low-dose, C-arm cone-beam CT using statistical image reconstruction. In Medical Imaging 2013: Physics of Medical Imaging [86681F] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8668). https://doi.org/10.1117/12.2008421