Journal article
Characterization and identification of spatial artifacts during 4D-CT imaging
Medical physics (Lancaster), Vol.38(4), pp.2074-2087
03/23/2011
DOI: 10.1118/1.3553556
PMCID: PMC3078159
PMID: 21626940
Abstract
Purpose:
The purpose of this work is twofold: First, to characterize the artifacts occurring in helical 4D-CT imaging; second, to propose a method that can
automatically
identify the artifacts in 4D-CT images. The authors have designed a process that can automatically identify the artifacts in 4D-CT images, which may be invaluable in quantifying the quality of 4D-CT images and reducing the artifacts from the reconstructed images on a large dataset.
Methods:
Given two adjacent stacks obtained from the same respiration phase, the authors determine if there are artifacts between them. The proposed method uses a "bridge" stack strategy to connect the two stacks. Using normalized cross correlation convolution (NCCC), the two stacks are mapped to the bridge stack and the best matching positions can be located. Using this position information, the authors can then determine if there are artifacts between the two stacks. By combining the matching positions with NCCC values, the performance can be improved.
Results:
To validate the method, three expert observers independently labeled over 600 stacks on five patients. The results confirmed that high performance was obtained using the proposed method. The average sensitivity was about 0.87 and the average specificity was 0.82. The proposed method also outperformed the method of using respiratory signal (sensitivity increased from 0.50 to 0.87 and specificity increased from 0.70 to 0.82).
Conclusions:
This study shows that the spatial artifacts during 4D-CT imaging are characterized and can be located automatically by the proposed method. The method is relatively simple but effective. It provides a way to evaluate the artifacts more objectively and accurately. The reported approach has promising potential for automatically identifying the types and frequency of artifacts on large scale 4D-CT image dataset.
Details
- Title: Subtitle
- Characterization and identification of spatial artifacts during 4D-CT imaging
- Creators
- Dongfeng Han - Department of Radiation Oncology, Division of Medical Physics, University of Iowa Hospital and Clinics, Iowa City, Iowa 52242John Bayouth - Department of Radiation Oncology, Division of Medical Physics, University of Iowa Hospital and Clinics, Iowa City, Iowa 52242Sudershan Bhatia - Department of Radiation Oncology, Division of Medical Physics, University of Iowa Hospital and Clinics, Iowa City, Iowa 52242Milan Sonka - Department of Radiation Oncology, Division of Medical Physics, University of Iowa Hospital and Clinics, Iowa City, Iowa 52242 and Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, Iowa 52242Xiaodong Wu - Department of Radiation Oncology, Division of Medical Physics, University of Iowa Hospital and Clinics, Iowa City, Iowa 52242 and Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, Iowa 52242
- Resource Type
- Journal article
- Publication Details
- Medical physics (Lancaster), Vol.38(4), pp.2074-2087
- DOI
- 10.1118/1.3553556
- PMID
- 21626940
- PMCID
- PMC3078159
- NLM abbreviation
- Med Phys
- ISSN
- 0094-2405
- eISSN
- 2473-4209
- Publisher
- American Association of Physicists in Medicine
- Grant note
- R01 EB 004640 / NIH
- Language
- English
- Date published
- 03/23/2011
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047862602771
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