Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms.
Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms.
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DOI：
10.1148/radiol.14132871
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发表时间：
2015-03
期刊：
影响因子：
19.7
通讯作者：
Fuller CD
中科院分区：
文献类型：
--
作者：
Mohamed AS;Ruangskul MN;Awan MJ;Baron CA;Kalpathy-Cramer J;Castillo R;Castillo E;Guerrero TM;Kocak-Uzel E;Yang J;Court LE;Kantor ME;Gunn GB;Colen RR;Frank SJ;Garden AS;Rosenthal DI;Fuller CD
使用强大的、精心策划的、手动分段的解剖 ROI 库来开发质量保证 (QA) 工作流程，作为定量评估用于头颈放射治疗模拟 CT (SimCT) 到诊断 CT (DxCT) 联合配准的不同图像配准技术的基准。经机构审查委员会批准，回顾性检索了 2011 年 8 月至 2012 年 5 月期间接受治疗性调强放疗 (IMRT) 的 20 名头颈鳞状细胞癌患者的 SimCT 和 DxCT。然后，在每次扫描中，除了肉眼肿瘤和淋巴结目标之外，还手动绘制 68 个参考感兴趣解剖区域 (ROI) 的轮廓。 DxCT严格配准到SimCT，并通过4种不同的变形图像配准（DIR）算法；基于图集、B 样条、恶魔和光流。使用相似系数度量（即 Dice 相似系数）和表面距离度量（即 95% 最大 Hausdorff 距离）将所得变形 ROI 与手动轮廓参考 ROI 进行比较。带对照的非参数 Steel 测试用于将不同的 DIR 算法与刚性配准 (RIR) 进行比较，并使用事后 Wilcoxon 等级测试进行分层度量比较。总共描绘了 2720 个解剖学和 50 个肿瘤/淋巴结 ROI。所有 DIR 算法在解剖和目标 ROI 一致性方面均表现出优于 RIR 的性能，如大多数比较指标所示（Steel 测试，Bonferroni 校正后 p 值 <0.008）。不同算法的性能因特定解剖结构/类别的分层以及 SimCT 图像切片厚度而有很大差异。开发用于注册评估的正式的基于 ROI 的 QA 工作流程表明，DIR 技术比 RIR 技术具有更高的性能。 QA 后，DIR 实施应该成为头颈部 DxCT-SimCT 对准的标准，尤其是目标描绘。
To develop a quality assurance (QA) workflow using a robust, curated, manually-segmented anatomic ROI library as a benchmark for quantitative assessment of different image registration techniques used for head and neck radiation therapy-simulation CT (SimCT) to diagnostic CT (DxCT) co-registration. SimCTs and DxCTs of twenty patients with head and neck squamous cell carcinoma treated with curative-intent intensity modulated radiotherapy (IMRT) between August 2011 and May 2012 were retrospectively retrieved under an institutional review board approval. 68 reference anatomic regions of interest (ROIs) in addition to gross tumor and nodal targets were then manually contoured on each scan. DxCT was registered to SimCT rigidly, and through 4 different deformable image registration (DIR) algorithms; Atlas-based, B-spline, demons, and optical flow. The resultant deformed ROIs were compared with manually contoured reference ROIs using similarity coefficient metrics (i.e. Dice similarity coefficient) and surface distance metrics (i.e. 95% maximum Hausdorff distance). Non-parametric Steel test with control was used to compare different DIR algorithms to rigid registration (RIR) with post hoc Wilcoxon rank test for stratified metric comparison. A total of 2720 anatomic and 50 tumor/nodal ROIs were delineated. All DIR algorithms showed improved performance over RIR for both anatomic and target ROIs conformance as shown for the majority of comparison metrics (Steel test, p-value <0.008 after Bonferroni correction). The performance of different algorithms varied substantially with stratification by specific anatomic structures/category, and SimCT image slice thickness. Development of a formal ROI-based QA workflow for registration assessment revealed improved performance with DIR techniques over RIR. After QA, DIR implementation should be the standard for head and neck DxCT-SimCT allineation, especially for target delineation.
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影响因子：
3.1
作者：
Noe, Karsten Ostergaard;De Senneville, Baudouin Denis;Sorensen, Thomas Sangild
通讯作者：
Sorensen, Thomas Sangild
影响因子：
3.3
作者：
Awan, Musaddiq;Kalpathy-Cramer, Jayashree;Fuller, Clifton D.
通讯作者：
Fuller, Clifton D.
DOI：
10.1186/1748-717x-7-90
发表时间：
2012-06-15
期刊：
Radiation oncology (London, England)
影响因子：
--
作者：
Hardcastle N;Tomé WA;Cannon DM;Brouwer CL;Wittendorp PW;Dogan N;Guckenberger M;Allaire S;Mallya Y;Kumar P;Oechsner M;Richter A;Song S;Myers M;Polat B;Bzdusek K
通讯作者：
Bzdusek K
影响因子：
5.7
作者：
Castadot, Pierre;Lee, John Aldo;Gregoire, Vincent
通讯作者：
Gregoire, Vincent
DOI：
10.1016/j.ejmp.2013.09.001
发表时间：
2014-05-01
影响因子：
3.4
作者：
Huger, S.;Graff, P.;Noel, A.
通讯作者：
Noel, A.