Optimal image reconstruction for detection and characterization of small pulmonary nodules during low-dose CT

被引:15
作者
Hashemi, SayedMasoud [1 ]
Mehrez, Hatem [2 ]
Cobbold, Richard S. C. [1 ]
Paul, Narinder S. [3 ]
机构
[1] Univ Toronto, Inst Biomat & Biomed Engn, Toronto, ON M5S 3G9, Canada
[2] Toshiba Canada Ltd, Markham, ON L3R 8H2, Canada
[3] Univ Hlth Network, Toronto Gen Hosp, Toronto, ON M5G 2N2, Canada
关键词
Computed tomography; Pulmonary nodule detection; Ultra-low-dose reconstruction; Pulmonary nodule characterization; Image reconstruction; LUNG-CANCER; ITERATIVE RECONSTRUCTION; SLICE THICKNESS; GUIDELINES; MANAGEMENT;
D O I
10.1007/s00330-014-3142-9
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
100231 [临床病理学]; 100902 [航空航天医学];
摘要
To optimize the slice thickness/overlap parameters for image reconstruction and to study the effect of iterative reconstruction (IR) on detectability and characterization of small non-calcified pulmonary nodules during low-dose thoracic CT. Data was obtained from computer simulations, phantom, and patient CTs. Simulations and phantom CTs were performed with 9 nodules (5, 8, and 10 mm with 100, -630, and -800 HU). Patient data were based on 11 ground glass opacities (GGO) and 9 solid nodules. For each analysis the nodules were reconstructed with filtered back projection and IR algorithms using 10 different combinations of slice thickness/overlap (0.5-5 mm). The attenuation (CT#) and the contrast to noise ratio (CNR) were measured. Spearman's coefficient was used to correlate the error in CT# measurements and slice thickness. Paired Student's t test was used to measure the significance of the errors. CNR measurements: CNR increases with increasing slice thickness/overlap for large nodules and peaks at 4.0/2.0 mm for smaller ones. Use of IR increases the CNR of GGOs by 60 %. CT# measurements: Increasing slice thickness/overlap above 3.0/1.5 mm results in decreased CT# measurement accuracy. Optimal detection of small pulmonary nodules requires slice thickness/overlap of 4.0/2.0 mm. Slice thickness/overlap of 2.0/2.0 mm is required for optimal nodule characterization. IR improves conspicuity of small ground glass nodules through a significant increase in nodule CNR. aEuro cent Slice thickness/overlap affects the accuracy of pulmonary nodule detection and characterization. aEuro cent Slice thickness a parts per thousand yen3 mm increases the risk of misclassifying small nodules. aEuro cent Optimal nodule detection during low-dose CT requires 4.0/2.0-mm reconstructions. aEuro cent Optimal nodule characterization during low-dose CT requires 2.0/2.0-mm reconstructions. aEuro cent Iterative reconstruction improves the CNR of ground glass nodules by 60 %.
引用
收藏
页码:1239 / 1250
页数:12
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