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A motion-compensated cone-beam CT using electrical impedance tomography imaging.

Abstract
Cone-beam CT (CBCT) is an imaging technique used in conjunction with radiation therapy. For example CBCT is used to verify the position of lung cancer tumours just prior to radiation treatment. The accuracy of the radiation treatment of thoracic and upper abdominal structures is heavily affected by respiratory movement. Such movement typically blurs the CBCT reconstruction and ideally should be removed. Hence motion-compensated CBCT has recently been researched for correcting image artefacts due to breathing motion. This paper presents a new dual-modality approach where CBCT is aided by using electrical impedance tomography (EIT) for motion compensation. EIT can generate images of contrasts in electrical properties. The main advantage of using EIT is its high temporal resolution. In this paper motion information is extracted from EIT images and incorporated directly in the CBCT reconstruction. In this study synthetic moving data are generated using simulated and experimental phantoms. The paper demonstrates that image blur, created as a result of motion, can be reduced through motion compensation with EIT.
AuthorsT Pengpan, N D Smith, W Qiu, A Yao, C N Mitchell, M Soleimani
JournalPhysiological measurement (Physiol Meas) Vol. 32 Issue 1 Pg. 19-34 (Jan 2011) ISSN: 1361-6579 [Electronic] England
PMID21098909 (Publication Type: Journal Article)
Topics
  • Algorithms
  • Artifacts
  • Computer Simulation
  • Cone-Beam Computed Tomography (methods)
  • Electric Impedance
  • Humans
  • Image Processing, Computer-Assisted
  • Motion
  • Phantoms, Imaging
  • Signal Processing, Computer-Assisted

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