Literature DB >> 26133604

Comparison of breathing gated CT images generated using a 5DCT technique and a commercial clinical protocol in a porcine model.

Dylan P O'Connell1, David H Thomas1, Tai H Dou1, James M Lamb1, Franklin Feingold1, Daniel A Low1, Matthew K Fuld2, Jered P Sieren3, Chelsea M Sloan3, Melissa A Shirk3, Eric A Hoffman3, Christian Hofmann4.   

Abstract

PURPOSE: To demonstrate that a "5DCT" technique which utilizes fast helical acquisition yields the same respiratory-gated images as a commercial technique for regular, mechanically produced breathing cycles.
METHODS: Respiratory-gated images of an anesthetized, mechanically ventilated pig were generated using a Siemens low-pitch helical protocol and 5DCT for a range of breathing rates and amplitudes and with standard and low dose imaging protocols. 5DCT reconstructions were independently evaluated by measuring the distances between tissue positions predicted by a 5D motion model and those measured using deformable registration, as well by reconstructing the originally acquired scans. Discrepancies between the 5DCT and commercial reconstructions were measured using landmark correspondences.
RESULTS: The mean distance between model predicted tissue positions and deformably registered tissue positions over the nine datasets was 0.65 ± 0.28 mm. Reconstructions of the original scans were on average accurate to 0.78 ± 0.57 mm. Mean landmark displacement between the commercial and 5DCT images was 1.76 ± 1.25 mm while the maximum lung tissue motion over the breathing cycle had a mean value of 27.2 ± 4.6 mm. An image composed of the average of 30 deformably registered images acquired with a low dose protocol had 6 HU image noise (single standard deviation) in the heart versus 31 HU for the commercial images.
CONCLUSIONS: An end to end evaluation of the 5DCT technique was conducted through landmark based comparison to breathing gated images acquired with a commercial protocol under highly regular ventilation. The techniques were found to agree to within 2 mm for most respiratory phases and most points in the lung.

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Year:  2015        PMID: 26133604      PMCID: PMC4464062          DOI: 10.1118/1.4922201

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  15 in total

1.  MIND: modality independent neighbourhood descriptor for multi-modal deformable registration.

Authors:  Mattias P Heinrich; Mark Jenkinson; Manav Bhushan; Tahreema Matin; Fergus V Gleeson; Sir Michael Brady; Julia A Schnabel
Journal:  Med Image Anal       Date:  2012-05-31       Impact factor: 8.545

2.  Semi-automatic construction of reference standards for evaluation of image registration.

Authors:  K Murphy; B van Ginneken; S Klein; M Staring; B J de Hoop; M A Viergever; J P W Pluim
Journal:  Med Image Anal       Date:  2010-08-03       Impact factor: 8.545

3.  Comparison of helical and cine acquisitions for 4D-CT imaging with multislice CT.

Authors:  Tinsu Pan
Journal:  Med Phys       Date:  2005-02       Impact factor: 4.071

4.  Technical note: development of a tidal volume surrogate that replaces spirometry for physiological breathing monitoring in 4D CT.

Authors:  René Werner; Benjamin White; Heinz Handels; Wei Lu; Daniel A Low
Journal:  Med Phys       Date:  2010-02       Impact factor: 4.071

5.  Objective function to obtain multiple representative waveforms for a novel helical CT scan protocol.

Authors:  Dan Ruan; David Thomas; Daniel A Low
Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

6.  MRF-based deformable registration and ventilation estimation of lung CT.

Authors:  Mattias P Heinrich; Mark Jenkinson; Michael Brady; Julia A Schnabel
Journal:  IEEE Trans Med Imaging       Date:  2013-02-26       Impact factor: 10.048

7.  A novel fast helical 4D-CT acquisition technique to generate low-noise sorting artifact-free images at user-selected breathing phases.

Authors:  David Thomas; James Lamb; Benjamin White; Shyam Jani; Sergio Gaudio; Percy Lee; Dan Ruan; Michael McNitt-Gray; Daniel Low
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-03-07       Impact factor: 7.038

8.  Novel breathing motion model for radiotherapy.

Authors:  Daniel A Low; Parag J Parikh; Wei Lu; James F Dempsey; Sasha H Wahab; James P Hubenschmidt; Michelle M Nystrom; Maureen Handoko; Jeffrey D Bradley
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-11-01       Impact factor: 7.038

9.  The management of respiratory motion in radiation oncology report of AAPM Task Group 76.

Authors:  Paul J Keall; Gig S Mageras; James M Balter; Richard S Emery; Kenneth M Forster; Steve B Jiang; Jeffrey M Kapatoes; Daniel A Low; Martin J Murphy; Brad R Murray; Chester R Ramsey; Marcel B Van Herk; S Sastry Vedam; John W Wong; Ellen Yorke
Journal:  Med Phys       Date:  2006-10       Impact factor: 4.071

10.  A novel CT acquisition and analysis technique for breathing motion modeling.

Authors:  Daniel A Low; Benjamin M White; Percy P Lee; David H Thomas; Sergio Gaudio; Shyam S Jani; Xiao Wu; James M Lamb
Journal:  Phys Med Biol       Date:  2013-05-02       Impact factor: 3.609

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  2 in total

1.  A 4DCT imaging-based breathing lung model with relative hysteresis.

Authors:  Shinjiro Miyawaki; Sanghun Choi; Eric A Hoffman; Ching-Long Lin
Journal:  J Comput Phys       Date:  2016-08-31       Impact factor: 3.553

2.  Computed Tomography and Magnetic Resonance Imaging for Longitudinal Characterization of Lung Structure Changes in a Yucatan Miniature Pig Silicosis Model.

Authors:  Emily Hammond; John D Newell; Samantha K N Dilger; Nicholas Stoyles; John Morgan; Jered P Sieren; Daniel R Thedens; Eric A Hoffman; David K Meyerholz; Jessica C Sieren
Journal:  Toxicol Pathol       Date:  2016-02-02       Impact factor: 1.902

  2 in total

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