[1] 王稼祥, 邱大胜, 蒋春林, 等. 头颈部肿瘤适形放疗中视交叉的保护: CT及MR图像配准的价值[J]. 肿瘤防治研究, 2012, 39(1): 78-80. [2] 庞皓文, 孙小杨, 杨波. 5种弹性配准方法在放射治疗CT图像配准中的应用比较[J]. 中国医学装备, 2018, 15(3): 26-29. [3] 高滋, 蔡宗晏, 范芳仪, 等. 放射治疗中可变形图像配准的临床应用[J]. 影像研究与医学应用, 2020, 4(18): 47-48. [4] 李华玲, 王沛沛, 李金凯, 等. 体积对自动勾画软件勾画危及器官准确性的影响[J].中国医学物理学杂志, 2020, 37(7): 797-802. [5] 王惠, 张宗春, 巩贯忠, 等. 形变配准技术分析呼吸运动对肝癌患者正常肝脏及其鞍区形态影响[J].中华肿瘤防治杂志, 2015, 22(1): 54-58. [6] Bonner JA, Harari PM, Giralt J, et al.Radiotherapy plus cetuximab for locoregionally advanced head and neck cancer: 5-year survival data from a phase 3 randomised trial and relation between cetuximab-induced rash and survival[J]. Lancet Oncol, 2010, 11(1): 21-28. [7] Gleason JF, Kudrimoti M, Van Meter EM, et al.Low-dose fractionated radiation with induction chemotherapy for locally advanced head and neck cancer: 5-year results of a prospective phase Ⅱ trial[J]. J Radiat Oncol, 2013, 2(1): 35-42. [8] Peters LJ, O'Sullivan B, Giralt J, et al. Critical impact of radiotherapy protocol compliance and quality in the treatment of advanced head and neck cancer: results from TROG 02.02[J]. J Clin Oncol, 2010, 28(18): 2996-3001. [9] 张希梅, 曹建忠, 罗京伟, 等. 鼻咽癌调强放疗中腮腺体积变化的临床动态研究[J].癌症进展, 2009, 7(4): 431-435. [10] 方临明, 颜桂明, 张飞燕, 等. 宫颈癌放疗患者体重指数变化对摆位误差的影响[J]. 中国现代医生, 2018, 56(8): 28-31. [11] Castadot P, Lee JA, Parraga A, et al.Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors[J]. Radiother Oncol, 2008, 89(1): 1-12. [12] Brock KK, Deformable Registration Accuracy Consortium. Results of a multi-instiution deformable registration accuracy study (MIDRAS)[J]. Int J Radiat Oncol Biol Phys, 2010, 76(2): 583-596. [13] Zijdenbos AP, Dawant BM, Margolin RA, et al.Morphometric analysis of white matter lesions in MR images: method and validation[J]. IEEE Trans Med Imaging, 1994, 13(4): 716-724. [14] Zou KH, Warfield SK, Bharatha A, et al.Statistical validation of image segmentation quality based on a spatial overlap index[J]. Acad Radiol, 2004, 11(2): 178-189. [15] 胡海生, 樊文慧, 石慧烽, 等. MIM软件的图像形变配准可靠性研究[J]. 中国医疗设备, 2019, 34(6): 82-85. [16] Fukumitsu N, Nitta K, Terunuma T, et al.Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI[J]. BMC Med Imaging, 2017, 17(1): 30-38. [17] 蒋璠, 吴昊, 张健, 等. 基于最优自动勾画的放疗计划剂量学评估[J]. 中华放射肿瘤学杂志, 2017, 26(4): 423-428. [18] 陈文豪. 勾画不同类型视交叉实用指南-改进策略[D]. 温州: 温州医科大学, 2019. [19] 张书铭, 杨瑞杰, 朱森华, 等. 两种自动勾画头颈部危及器官方法的比较研究[J].中华放射医学与防护杂志, 2020, 40(5): 385-391. |