A super resolution technique for clinical multislice CT

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

3 Citations (Scopus)

Abstract

Increasing the spatial resolution of current multislice clinical CT system is always desirable. However, further resolution improvement by reducing the pixel pitch or the aperture of the detector elements is difficult because of the tradeoff between the pixel size and dose level. In this paper, we demonstrate a methodoiogy for improving spatial resolution of a clinical multislice CT without reducing the detector element size. The flying focal spot (i.e. electron beam wobbling) technique is used to increase the data sampling rate for in- plane (x-y) and z-axis scan acquisitions. In order to reduce the number of focal spot positions to achieve a certain spatial resolution, a super resolution technique using projections onto convex sets (POCS) is applied here to improve projection raw data sampling with reduced number of focal spot positions. The results indicate that it is possible to significantly increase spatial resolution on current multislice clinical CT systems without reducing the detector element size. In absence of noise, super resolution algorithms employing iterative regularization, such as POCS, can reduce the required number of focal spot positions. Thus, technical requirements on the multislice CT systems, such as rotation time and number of projections per rotation, can be much relaxed. However, noise reduction methods and methods of reducing projections per rotation, such as compressed sensing, are needed to work with super resolution technique to keep the radiation exposure from exceeding the current limit of clinical multislice CT.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7622
EditionPART 1
DOIs
StatePublished - 2010
EventMedical Imaging 2010: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 15 2010Feb 18 2010

Other

OtherMedical Imaging 2010: Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/15/102/18/10

Fingerprint

projection
Detectors
spatial resolution
Noise
data sampling
Pixels
Sampling
Compressed sensing
Noise abatement
detectors
pixels
Electron beams
Electrons
radiation dosage
Radiation
tradeoffs
noise reduction
acquisition
apertures
flight

Keywords

  • Algorithm
  • Computed tomography (CT)
  • Data sampling rate
  • POCS
  • Super resolution

ASJC Scopus subject areas

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

Cite this

Liu, X., Yu, L., Manduca, A., Ritman, E. L., & McCollough, C. H. (2010). A super resolution technique for clinical multislice CT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (PART 1 ed., Vol. 7622). [76221Q] https://doi.org/10.1117/12.844831

A super resolution technique for clinical multislice CT. / Liu, Xin; Yu, Lifeng; Manduca, Armando; Ritman, Erik L.; McCollough, Cynthia H.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7622 PART 1. ed. 2010. 76221Q.

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

Liu, X, Yu, L, Manduca, A, Ritman, EL & McCollough, CH 2010, A super resolution technique for clinical multislice CT. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. PART 1 edn, vol. 7622, 76221Q, Medical Imaging 2010: Physics of Medical Imaging, San Diego, CA, United States, 2/15/10. https://doi.org/10.1117/12.844831
Liu X, Yu L, Manduca A, Ritman EL, McCollough CH. A super resolution technique for clinical multislice CT. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. PART 1 ed. Vol. 7622. 2010. 76221Q https://doi.org/10.1117/12.844831
Liu, Xin ; Yu, Lifeng ; Manduca, Armando ; Ritman, Erik L. ; McCollough, Cynthia H. / A super resolution technique for clinical multislice CT. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7622 PART 1. ed. 2010.
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