液晶与显示, 2019, 34 (11): 1091, 网络出版: 2019-12-10   

基于U-Net的多图谱标签融合算法

Multi-atlaslabel fusion based on U-Net
作者单位
宁夏大学 物理与电子电气工程学院, 宁夏 银川 750021
引用该论文

芦玥, 马瑜, 王慧, 王原. 基于U-Net的多图谱标签融合算法[J]. 液晶与显示, 2019, 34(11): 1091.

LU Yue, MA Yu, WANG Hui, WANG Yuan. Multi-atlaslabel fusion based on U-Net[J]. Chinese Journal of Liquid Crystals and Displays, 2019, 34(11): 1091.

参考文献

[1] HOGAN R E, MARK K E, CHOUDHURI I,et al. Magnetic resonance imaging deformation-based segmentation of the hippocampus in patients with mesial temporal sclerosis and temporal lobe epilepsy [J]. Journal of Digital Imaging, 2000, 13(S1): 217-218.

[2] SHATTUCK D W, MIRZA M, ADISETIYO V, et al. Construction of a 3D probabilistic atlas of human cortical structures [J]. Neuroimage, 2008, 39(3): 1064-1080.

[3] JACK C R JR, BENTLEY M D, TWOMEY C K, et al. MR imaging-based volume measurements of the hippocampal formation and anterior temporal lobe: validation studies [J]. Radiology, 1990, 176(1): 205-209.

[4] KASS M, WITKIN A,TERZOPOULOS D. Snakes: active contour models [J]. International Journal of Computer Vision, 1988, 1(4): 321-331.

[5] ASHTON E A, BERG M J, PARKER K J, et al. Segmentation and feature extraction techniques, with applications to MRI head studies [J]. Magnetic Resonance in Medicine, 1995, 33(5): 670-677.

[6] KELEMEN A, SZEKELY G, GERIG G. Elastic model-based segmentation of 3-D neuroradiological data sets [J]. IEEE Transactions on Medical Imaging, 1999, 18(10): 828-839.

[7] CREMERS D. Dynamical statistical shape priors for level set-based tracking [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(8): 1262-1273.

[8] ZHANG H Z, MORROW P, MCCLEAN S, et al. Contour detection of labelled cellular structures from serial ultrathin electron microscopy sections using GAC and prior analysis [C]//Proceedings of the 2008 1st Workshops on Image Processing Theory, Tools and Applications. Sousse: IEEE, 2008.

[9] DAMBREVILLE S, RATHI Y, TANNENBAUM A. A framework for image segmentation using shape models and kernel space shape priors [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(8): 1385-1399.

[10] LONG J, SHELHAMER E, DARRELL T. Fully convolutional networks for semantic segmentation [C]//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition. Boston: IEEE, 2015.

[11] RONNEBERGER O, FISCHER P, BROX T. U-Net: convolutional networks for biomedical image segmentation [C]//Proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention. Munich: Springer, 2015: 234-241.

[12] SHATTUCK D W, LEAHY R M.BrainSuite: an automated cortical surface identification tool [J]. Medical Image Analysis, 2002, 6(2): 129-142.

[13] ALJABAR P, HECKEMANN R A, HAMMERSA, et al. Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy [J]. Neuroimage, 2009, 46(3): 726-738.

[14] AWATE S P, ZHU P H, WHITAKER R T. How many templates does it take for a good segmentation?: error analysis in multiatlas segmentation as a function of database size [C]//Proceedings of the 2nd International Workshop on Multimodal Brain Image Analysis. Nice: Springer, 2012: 103-114.

[15] 夏瑞, 马瑜, 王文娜, 等.基于重采样改进的多图谱分割算法[J].计算机工程与设计, 2018, 39(8): 2587-2592, 2659.

    XIA R, MA Y, WANG W N, et al. Multi-atlas segmentation algorithm based on resampling [J]. Computer Engineering and Design, 2018, 39(8): 2587-2592, 2659. (in Chinese)

[16] VERCAUTEREN T, PENNEC X, PERCHANT A, et al. Diffeomorphic demons: efficient non-parametric image registration [J]. Neuroimage, 2009, 45(1 Suppl): S61-S72.

[17] HUO J, WANG G H, WU Q M J, et al. Label fusion for multi-atlas segmentation based on majority voting [C]//Proceedings of the 12th International Conference Image Analysis and Recognition. Niagara Falls: Springer, 2015: 100-106.

[18] WU G R, WANG Q, ZHANG D Q, et al. A generative probability model of joint label fusion for multi-atlas based brain segmentation [J]. Medical Image Analysis, 2014, 18(6): 881-890.

[19] WARFIELD S K, ZOU K H, WELLS W M. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation [J]. IEEE Transactions on Medical Imaging, 2004, 23(7): 903-921.

[20] COUP P, MANJN J V, FONOV V, et al. Patch-based segmentation using expert priors: application to hippocampus and ventricle segmentation [J]. NeuroImage, 2011, 54(2): 940-954.

[21] Brain-Development. Brain atlases [EB/OL]. http: //biomedic.doc.ic.ac.uk/brain-development/.

[22] Alzheimer’s Disease Neuroimaging Initiative. [EB/OL]. http: //adni.loni.usc.edu.

[23] JOHNSON H J, MCCORMICK M M, IBANEZ L. The ITK Software Guide Book 1: Introduction and Development Guidelines [M]. Kitware, Inc., 2015.

[24] LIU H, YAN M, SONG E M, et al. Label fusion method based on sparse patch representation for the brain MRI image segmentation [J]. IET Image Processing, 2017, 11(7): 502-511.

芦玥, 马瑜, 王慧, 王原. 基于U-Net的多图谱标签融合算法[J]. 液晶与显示, 2019, 34(11): 1091. LU Yue, MA Yu, WANG Hui, WANG Yuan. Multi-atlaslabel fusion based on U-Net[J]. Chinese Journal of Liquid Crystals and Displays, 2019, 34(11): 1091.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!