Noise reduction in fluoroscopic image sequences for joint kinematics analysis

T. Cerciello, P. Bifulco, M. Cesarelli, L. Paura, M. Romano, G. Pasquariello, R. Allen

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

7 Citations (Scopus)

Abstract

Analysis of dynamic videofluoroscopic can provide spine kinematic data with an acceptable low X-ray dose. Estimation of the kinematics relies on accurate recognition of vertebrae positions and rotations on each radiological frame. In previous works we presented a procedure for automatic tracking of vertebra motion by smoothed gradient operators and template matching in fluoroscopic image sequences. A limitation to the accurate estimation of the kinematics by automatic tracking of vertebrae motion, independently by the specific methodology employed (e.g. manual marking, corner or edge automatic detection, etc.), is mainly due to noise: low-dose X-ray image sequences exhibit severe signal-dependent noise that should be reduced, while preserving anatomical edges and structures. Noise in low-dose X-ray images originates from various sources, however quantum noise is by far the more dominant noise in low-dose X-ray images and other sources can be neglected. Signal degraded by quantum noise is commonly modeled by a Poisson distribution, but it is possible to approximate it as additive zero-mean Gaussian noise with signal-dependent variance. In this work we propose a digital spatial filter for reducing noise in low-dose X-ray images. The proposed filter is based on averaging of only similar pixels (whose grey level is contained within ±3σ) instead of spatial averaging of all neighbouring pixels. The effectiveness of the filter performance was evaluated by fluoroscopic image sequence processing, comparing the results of the automatic vertebra tracking on filtered and unfiltered images.

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages323-326
Number of pages4
Volume29
DOIs
Publication statusPublished - 2010
Event12th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2010 - Chalkidiki, Greece
Duration: May 27 2010May 30 2010

Other

Other12th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2010
CountryGreece
CityChalkidiki
Period5/27/105/30/10

Fingerprint

Noise abatement
Dosimetry
Kinematics
X rays
Quantum noise
Pixels
Poisson distribution
Template matching
Processing

Keywords

  • Fluoroscopic image sequences
  • joint kinematics
  • low dose X-ray noise
  • spatial average filter

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Cerciello, T., Bifulco, P., Cesarelli, M., Paura, L., Romano, M., Pasquariello, G., & Allen, R. (2010). Noise reduction in fluoroscopic image sequences for joint kinematics analysis. In IFMBE Proceedings (Vol. 29, pp. 323-326) https://doi.org/10.1007/978-3-642-13039-7_81

Noise reduction in fluoroscopic image sequences for joint kinematics analysis. / Cerciello, T.; Bifulco, P.; Cesarelli, M.; Paura, L.; Romano, M.; Pasquariello, G.; Allen, R.

IFMBE Proceedings. Vol. 29 2010. p. 323-326.

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

Cerciello, T, Bifulco, P, Cesarelli, M, Paura, L, Romano, M, Pasquariello, G & Allen, R 2010, Noise reduction in fluoroscopic image sequences for joint kinematics analysis. in IFMBE Proceedings. vol. 29, pp. 323-326, 12th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2010, Chalkidiki, Greece, 5/27/10. https://doi.org/10.1007/978-3-642-13039-7_81
Cerciello T, Bifulco P, Cesarelli M, Paura L, Romano M, Pasquariello G et al. Noise reduction in fluoroscopic image sequences for joint kinematics analysis. In IFMBE Proceedings. Vol. 29. 2010. p. 323-326 https://doi.org/10.1007/978-3-642-13039-7_81
Cerciello, T. ; Bifulco, P. ; Cesarelli, M. ; Paura, L. ; Romano, M. ; Pasquariello, G. ; Allen, R. / Noise reduction in fluoroscopic image sequences for joint kinematics analysis. IFMBE Proceedings. Vol. 29 2010. pp. 323-326
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