期刊
OPTICS EXPRESS
卷 18, 期 14, 页码 15244-15255出版社
OPTICAL SOC AMER
DOI: 10.1364/OE.18.015244
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资金
- U.S. Food and Drug Administration
- National Institute of Biomedical Imaging and Bioengineering
- National Cancer Institute [224-07-6030]
- Center for Interventional Oncology at the National Institutes of Health (NIH)
- NIH, United States Food and Drug Administration (FDA)
A number of interrelated factors can affect the precision and accuracy of lung nodule size estimation. To quantify the effect of these factors, we have been conducting phantom CT studies using an anthropomorphic thoracic phantom containing a vasculature insert to which synthetic nodules were inserted or attached. Ten repeat scans were acquired on different multi-detector scanners, using several sets of acquisition and reconstruction protocols and various nodule characteristics (size, shape, density, location). This study design enables both bias and variance analysis for the nodule size estimation task. The resulting database is in the process of becoming publicly available as a resource to facilitate the assessment of lung nodule size estimation methodologies and to enable comparisons between different methods regarding measurement error. This resource complements public databases of clinical data and will contribute towards the development of procedures that will maximize the utility of CT imaging for lung cancer screening and tumor therapy evaluation. (C) 2010 Optical Society of America
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