Model-based reconstruction of objects with inexactly known components

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

Abstract

Because tomographic reconstructions are ill-conditioned, algorithms that incorporate additional knowledge about the imaging volume generally have improved image quality. This is particularly true when measurements are noisy or have missing data. This paper presents a general framework for inclusion of the attenuation contributions of specific component objects known to be in the field-of-view as part of the reconstruction. Components such as surgical devices and tools may be modeled explicitly as being part of the attenuating volume but are inexactly known with respect to their locations poses, and possible deformations. The proposed reconstruction framework, referred to as Known-Component Reconstruction (KCR), is based on this novel parameterization of the object, a likelihood-based objective function, and alternating optimizations between registration and image parameters to jointly estimate the both the underlying attenuation and unknown registrations. A deformable KCR (dKCR) approach is introduced that adopts a control pointbased warping operator to accommodate shape mismatches between the component model and the physical component, thereby allowing for a more general class of inexactly known components. The KCR and dKCR approaches are applied to low-dose cone-beam CT data with spine fixation hardware present in the imaging volume. Such data is particularly challenging due to photon starvation effects in projection data behind the metallic components. The proposed algorithms are compared with traditional filtered-backprojection and penalized-likelihood reconstructions and found to provide substantially improved image quality. Whereas traditional approaches exhibit significant artifacts that complicate detection of breaches or fractures near metal, the KCR framework tends to provide good visualization of anatomy right up to the boundary of surgical devices.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8313
DOIs
StatePublished - 2012
EventMedical Imaging 2012: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 5 2012Feb 8 2012

Other

OtherMedical Imaging 2012: Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/5/122/8/12

Fingerprint

Image quality
Imaging techniques
Equipment and Supplies
Cone-Beam Computed Tomography
Starvation
Parameterization
Photons
Artifacts
Cones
Anatomy
Spine
Visualization
Metals
Hardware
attenuation
spine
anatomy
parameterization
field of view
artifacts

Keywords

  • CT reconstruction
  • Implant imaging
  • Joint registration-reconstruction
  • Penalized-likelihood estimation

ASJC Scopus subject areas

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

Cite this

Stayman, J. W., Otake, Y., Schafer, S., Khanna, A. J., Prince, J. L., & Siewerdsen, J. (2012). Model-based reconstruction of objects with inexactly known components. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 8313). [83131S] https://doi.org/10.1117/12.911202

Model-based reconstruction of objects with inexactly known components. / Stayman, Joseph Webster; Otake, Y.; Schafer, S.; Khanna, A Jay; Prince, Jerry Ladd; Siewerdsen, Jeff.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8313 2012. 83131S.

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

Stayman, JW, Otake, Y, Schafer, S, Khanna, AJ, Prince, JL & Siewerdsen, J 2012, Model-based reconstruction of objects with inexactly known components. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 8313, 83131S, Medical Imaging 2012: Physics of Medical Imaging, San Diego, CA, United States, 2/5/12. https://doi.org/10.1117/12.911202
Stayman JW, Otake Y, Schafer S, Khanna AJ, Prince JL, Siewerdsen J. Model-based reconstruction of objects with inexactly known components. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8313. 2012. 83131S https://doi.org/10.1117/12.911202
Stayman, Joseph Webster ; Otake, Y. ; Schafer, S. ; Khanna, A Jay ; Prince, Jerry Ladd ; Siewerdsen, Jeff. / Model-based reconstruction of objects with inexactly known components. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8313 2012.
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