Journal article
Comparison of breathing gated CT images generated using a 5DCT technique and a commercial clinical protocol in a porcine model
Medical physics (Lancaster), Vol.42(7), pp.4033-4042
07/2015
DOI: 10.1118/1.4922201
PMCID: PMC4464062
PMID: 26133604
Abstract
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.
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.
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.
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.
Details
- Title: Subtitle
- Comparison of breathing gated CT images generated using a 5DCT technique and a commercial clinical protocol in a porcine model
- Creators
- Dylan P O'Connell - Department of Radiation Oncology, University of California Los Angeles, 200 Medical Plaza Suite B265, Los Angeles, California 90095David H Thomas - Department of Radiation Oncology, University of California Los Angeles, 200 Medical Plaza Suite B265, Los Angeles, California 90095Tai H Dou - Department of Radiation Oncology, University of California Los Angeles, 200 Medical Plaza Suite B265, Los Angeles, California 90095James M Lamb - Department of Radiation Oncology, University of California Los Angeles, 200 Medical Plaza Suite B265, Los Angeles, California 90095Franklin Feingold - Department of Radiation Oncology, University of California Los Angeles, 200 Medical Plaza Suite B265, Los Angeles, California 90095Daniel A Low - Department of Radiation Oncology, University of California Los Angeles, 200 Medical Plaza Suite B265, Los Angeles, California 90095Matthew K Fuld - Siemens Medical Solutions, USA, Inc., 600 North Wolfe Street, Baltimore, Maryland 21287Jered P Sieren - Department of Radiology, The University of Iowa, 200 Hawkins Drive, Iowa City, Iowa 542242Chelsea M Sloan - Department of Radiology, The University of Iowa, 200 Hawkins Drive, Iowa City, Iowa 542242Melissa A Shirk - Department of Radiology, The University of Iowa, 200 Hawkins Drive, Iowa City, Iowa 542242Eric A Hoffman - Department of Radiology, The University of Iowa, 200 Hawkins Drive, Iowa City, Iowa 542242Christian Hofmann - Siemens AG, Imaging and Therapy Division, Siemensstr. 1, Forchheim 91301, Germany
- Resource Type
- Journal article
- Publication Details
- Medical physics (Lancaster), Vol.42(7), pp.4033-4042
- Publisher
- United States
- DOI
- 10.1118/1.4922201
- PMID
- 26133604
- PMCID
- PMC4464062
- ISSN
- 0094-2405
- eISSN
- 2473-4209
- Grant note
- R01 CA096679 / NCI NIH HHS P30 ES005605 / NIEHS NIH HHS R01 HL112986 / NHLBI NIH HHS P30 DK054759 / NIDDK NIH HHS R01 CA0096679 / NCI NIH HHS
- Language
- English
- Date published
- 07/2015
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984051746202771
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