参考文献/References:
[1] 倪东,陈思平,汪天富.基于曲光线跟踪算法的超声成像实时模拟研究[J].深圳大学学报理工版,2012,29(4):322-327.
Ni Dong, Chen Siping, Wang Tianfu. A beam width aware curvilinear ray tracing method for real-time ultrasound simulation[J]. Journal of Shenzhen University Science and Engineering, 2012, 29(4): 322- 327.(in Chinese)
[2] 万仪芳,沈国芳,朱家安.超声测量评估胎儿主要生长参数的研究[J].上海医学,2010,33(12):1132-1134.
Wan Yifang, Shen Guofang, Zhu Jiaan. Ultrasonography determination in evaluation of major growth parameters of fetuses[J]. Shanghai Medical Journal, 2010, 33(12): 1132-1134.(in Chinese)
[3] 詹林,文桂琼,林毅,等.产前超声筛查诊断胎儿肢体畸形的价值[J].中国医学影像学杂志,2010,18(3):213-216.
Zhan Lin, Wen Guiqiong, Lin Yi. et al. The effectiveness of ultrasound screening in the prenatal diagnosis of fetal malformation[J]. Chinese Journal of Medical Imaging, 2010, 18(3): 213-216.(in Chinese)
[4] 李威,贾淑文,吕祥.产前超声检查对胎儿畸形的诊断价值[J].中国妇幼保健,2013,28(8):1290-1292.
Li Wei, Jia Shuwen, Lv Xiang. The effectiveness of ultrasound screening in the prenatal diagnosis of fetal malformation[J]. Maternal and Child Health Care of China, 2013, 28(8): 1290-1292.(in Chinese)
[5] 李璟,倪东,李胜利,等.超声图像中胎儿头围的自动测量[J].深圳大学学报理工版,2014,31(5):455-463.
Li Jing, Ni Dong, Li Shengli, et al. The automatic ultrasound measurement of fetal head circumference[J]. Journal of Shenzhen University Science and Engineering, 2014, 31(5): 455-463.(in Chinese)
[6] Maurits V T, Antti M, Bart K. Repetitive strain injury[J]. Lancet, 2007, 369(9575): 1815-1822.
[7] Zhang Lei, Ye Xujiong, Lambrou T, et al. A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images[J]. Physics in Medicine and Biology, 2016, 61(3): 1095-1115.
[8] Wang C W. Automatic entropy-based femur segmentation and fast length measurement for fetal ultrasound images[C]// International Conference on Advanced Robotics and Intelligent Systems.[S.l.]: IEEE, 2014: 1-5.
[9] 余锦华,汪源源,陈萍,等.胎儿超声图像分割及自动径线测量[J].中国生物医学工程学报,2007,26(6):867-873.
Yu Jinhua, Wang Yuanyuan, Chen Ping, et al. Fetal ultrasound image segmentation and automatic diameter and length measurement[J]. Chinese Journal of Biomedical Engineering, 2007, 26(6): 867-873.(in Chinese)
[10] Salomon L J, Alfirevic Z, Berghella V, et al. Practice guidelines for performance of the routine mid-trimester fetal ultrasound scan[J]. Ultrasound in Obstetrics & Gynecology: the Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, 2011, 37(1): 116-126.
[11] Frangi A F, Niessen W J, Vincken K L, et al. Multiscale vessel enhancement filtering[C]// International Conference on Medical Image Computing and Computer-Assisted Intervention. Berlin: Springer Berlin Heidelberg, 2000: 130-137.
[12] Jimenez-Carretero D, Santos A, Kerkstra S, et al. 3D Frangi-based lung vessel enhancement filter penalizing airways[C]// IEEE the 10th International Symposium on Biomedical Imaging.[S. l.]: IEEE, 2013: 926-929.
[13] Shashank, Bhattacharya M, Sharma G K. Optimized coronary artery segmentation using Frangi filter and Anisotropic diffusion filtering[C]// International Symposium on Computational and Business Intelligence. New Delhi, India: IEEE, 2013: 261-264.
[14] 吕哲,王福利,常玉清,等.改进的形态学骨架提取算法[J].计算机工程,2009,35(19):23-25.
Lv Zhe, Wang Fuli, Chang Yuqing, et al. Improved morphological skeleton extraction algorithm[J]. Computer Engineering, 2009, 35(19): 23-25.(in Chinese)
[15] Liu Hongzhi, Wu Zhonghai, Zhang Xing, et al. A skeleton pruning algorithm based on information fusion[J]. Pattern Recognition Letters, 2013, 34(10): 1138-1145.
[16] Udupa J K, Leblanc V R, Ying Zhuge, et al. A framework for evaluating image segmentation algorithms[J]. Computerized Medical Imaging and Graphics, 2006, 30(2): 75-87.
[17] Heimann T, Van Ginneken B, Styner M A, et al. Comparison and evaluation of methods for liver segmentation from CT datasets[J]. IEEE Transactions on Medical Imaging, 2009, 28(8):1251-1265.
[18] Myles P S, Cui J. Using the Bland-Altman method to measure agreement with repeated measure[J]. British Journal of Anaesthesia, 2007, 99(3): 309-311.
[19] Rueda S, Fathima S, Knight C L, et al. Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: a grand challenge[J]. IEEE Transactions on Medical Imaging,?2014, 33(4): 797-813.
[20] Székely G J, Rizzo M L. The distance correlation t-test of independence in high dimension[J]. Journal of Multivariate Analysis, 2013, 117(3): 193-213.
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