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Title: Reduction of motion blurring artifacts using respiratory gated CT in sinogram space: A quantitative evaluation

Abstract

Techniques have been developed for reducing motion blurring artifacts by using respiratory gated computed tomography (CT) in sinogram space and quantitatively evaluating the artifact reduction. A synthetic sinogram was built from multiple scans intercepting a respiratory gating window. A gated CT image was then reconstructed using the filtered back-projection algorithm. Wedge phantoms, developed for quantifying the motion artifact reduction, were scanned while being moved using a computer-controlled linear stage. The resulting artifacts appeared between the high and low density regions as an apparent feature with a Hounsfield value that was the average of the two regions. A CT profile through these regions was fit using two error functions, each modeling the partial-volume averaging characteristics for the unmoving phantom. The motion artifact was quantified by determining the apparent distance between the two functions. The blurring artifact had a linear relationship with both the speed and the tangent of the wedge angles. When gating was employed, the blurring artifact was reduced systematically at the air-phantom interface. The gated image of phantoms moving at 20 mm/s showed similar blurring artifacts as the nongated image of phantoms moving at 10 mm/s. Nine patients were also scanned using the synchronized respiratory motion technique. Image artifactsmore » were evaluated in the diaphragm, where high contrast interfaces intercepted the imaging plane. For patients, this respiratory gating technique reduced the blurring artifacts by 9%-41% at the lung-diaphragm interface.« less

Authors:
; ; ; ; ; ; ;  [1];  [2];  [2]
  1. Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri 63110 (United States)
  2. (United States)
Publication Date:
OSTI Identifier:
20726890
Resource Type:
Journal Article
Resource Relation:
Journal Name: Medical Physics; Journal Volume: 32; Journal Issue: 11; Other Information: DOI: 10.1118/1.2074187; (c) 2005 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; ALGORITHMS; COMPUTERIZED TOMOGRAPHY; DIAPHRAGM; ERRORS; EVALUATION; IMAGE PROCESSING; IMAGES; LUNGS; PATIENTS; PHANTOMS

Citation Formats

Lu Wei, Parikh, Parag J., Hubenschmidt, James P., Politte, David G., Whiting, Bruce R., Bradley, Jeffrey D., Mutic, Sasa, Low, Daniel A., Department of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, and Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri 63110. Reduction of motion blurring artifacts using respiratory gated CT in sinogram space: A quantitative evaluation. United States: N. p., 2005. Web. doi:10.1118/1.2074187.
Lu Wei, Parikh, Parag J., Hubenschmidt, James P., Politte, David G., Whiting, Bruce R., Bradley, Jeffrey D., Mutic, Sasa, Low, Daniel A., Department of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, & Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri 63110. Reduction of motion blurring artifacts using respiratory gated CT in sinogram space: A quantitative evaluation. United States. doi:10.1118/1.2074187.
Lu Wei, Parikh, Parag J., Hubenschmidt, James P., Politte, David G., Whiting, Bruce R., Bradley, Jeffrey D., Mutic, Sasa, Low, Daniel A., Department of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, and Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri 63110. Tue . "Reduction of motion blurring artifacts using respiratory gated CT in sinogram space: A quantitative evaluation". United States. doi:10.1118/1.2074187.
@article{osti_20726890,
title = {Reduction of motion blurring artifacts using respiratory gated CT in sinogram space: A quantitative evaluation},
author = {Lu Wei and Parikh, Parag J. and Hubenschmidt, James P. and Politte, David G. and Whiting, Bruce R. and Bradley, Jeffrey D. and Mutic, Sasa and Low, Daniel A. and Department of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110 and Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri 63110},
abstractNote = {Techniques have been developed for reducing motion blurring artifacts by using respiratory gated computed tomography (CT) in sinogram space and quantitatively evaluating the artifact reduction. A synthetic sinogram was built from multiple scans intercepting a respiratory gating window. A gated CT image was then reconstructed using the filtered back-projection algorithm. Wedge phantoms, developed for quantifying the motion artifact reduction, were scanned while being moved using a computer-controlled linear stage. The resulting artifacts appeared between the high and low density regions as an apparent feature with a Hounsfield value that was the average of the two regions. A CT profile through these regions was fit using two error functions, each modeling the partial-volume averaging characteristics for the unmoving phantom. The motion artifact was quantified by determining the apparent distance between the two functions. The blurring artifact had a linear relationship with both the speed and the tangent of the wedge angles. When gating was employed, the blurring artifact was reduced systematically at the air-phantom interface. The gated image of phantoms moving at 20 mm/s showed similar blurring artifacts as the nongated image of phantoms moving at 10 mm/s. Nine patients were also scanned using the synchronized respiratory motion technique. Image artifacts were evaluated in the diaphragm, where high contrast interfaces intercepted the imaging plane. For patients, this respiratory gating technique reduced the blurring artifacts by 9%-41% at the lung-diaphragm interface.},
doi = {10.1118/1.2074187},
journal = {Medical Physics},
number = 11,
volume = 32,
place = {United States},
year = {Tue Nov 15 00:00:00 EST 2005},
month = {Tue Nov 15 00:00:00 EST 2005}
}