A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom

被引:51
作者
Gavrielides, Marios A. [1 ]
Kinnard, Lisa M. [1 ]
Myers, Kyle J. [1 ]
Peregoy, Jennifer [2 ]
Pritchard, William F. [2 ]
Zeng, Rongping [1 ]
Esparza, Juan [2 ]
Karanian, John [2 ]
Petrick, Nicholas [1 ]
机构
[1] US FDA, Div Imaging & Math, Off Sci & Engn Labs, Ctr Devices & Radiol Hlth, Silver Spring, MD USA
[2] US FDA, Lab Cardiovasc & Intervent Therapeut, Div Biol, Ctr Devices & Radiol Hlth,Off Sci & Engn Labs, Silver Spring, MD USA
基金
美国国家卫生研究院;
关键词
PULMONARY NODULES; SOLID TUMORS; TRUTH DATA; RECIST; ERROR;
D O I
10.1364/OE.18.015244
中图分类号
O43 [光学];
学科分类号
070207 [光学];
摘要
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
引用
收藏
页码:15244 / 15255
页数:12
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