[1]颜淑敏,徐龙春,张敏风,等.一种改进的脑白质纤维束连续跟踪算法[J].中国医学物理学杂志,2020,37(10):1262-1266.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.009]
 YAN Shumin,XU Longchun,ZHANG Minfeng,et al.An improved white matter fiber assignment by continuous tracking algorithm[J].Chinese Journal of Medical Physics,2020,37(10):1262-1266.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.009]
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一种改进的脑白质纤维束连续跟踪算法()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第10期
页码:
1262-1266
栏目:
医学影像物理
出版日期:
2020-10-29

文章信息/Info

Title:
An improved white matter fiber assignment by continuous tracking algorithm
文章编号:
1005-202X(2020)10-1262-05
作者:
颜淑敏1徐龙春2张敏风2张岗3邹越3何乐民1程运福1颜翠萍1杨鑫怡1许然然1王晓艳1王鹏程1赵文波3张光玉1
1.山东第一医科大学(山东省医学科学院)放射学院, 山东 泰安 271016; 2.山东第一医科大学(山东省医学科学院)第二附属医院医学影像科, 山东 泰安 271000; 3.山东第一医科大学(山东省医学科学院)第二附属医院耳鼻咽喉科, 山东 泰安 271000
Author(s):
YAN Shumin1 XU Longchun2 ZHANG Minfeng2 ZHANG Gang3 ZOU Yue3 HE Lemin1 CHENG Yunfu1 YAN Cuiping1 YANG Xinyi1 XU Ranran1 WANG Xiaoyan1 WANG Pengcheng1 ZHAO Wenbo3 ZHANG Guangyu1
1. Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271016, China 2. Department of Medical Imaging, the Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271000, China 3. Department of Otorhinolaryngology, the Second Affiliated Hospital of Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271000, China
关键词:
纤维束连续跟踪算法脑科学弥散熵脑结构网弥散张量成像
Keywords:
Keywords: fiber assignment by continuous tracking algorithrn brain science diffusion entropy brain structural network diffusion tensor imaging
分类号:
R318;TP391.4
DOI:
DOI:10.3969/j.issn.1005-202X.2020.10.009
文献标志码:
A
摘要:
目的:改进脑白质纤维束连续跟踪算法,提高纤维束跟踪的连续性和准确性。方法:使用山东第一医科大学第二附属医院影像科和国际人脑连接组共享数据库网站提供的弥散张量图像对算法进行验证。首先,对磁共振弥散张量图像进行中值滤波和高斯平滑滤波,去除噪声对纤维束连续跟踪算法的影响,利用脑模板消除颅骨对后续跟踪的影响。然后,利用最小二乘法获得每一个体素的弥散张量和各向异性指数。最后,从各向异性指数大于阈值的起始体素开始,利用跟踪编辑技术和基于弥散熵的线性跟踪方法完成纤维束连续跟踪。结果:同传统的纤维束连续跟踪算法相比,本研究提出的算法能得到更连续、更准确的跟踪结果,算法具有较好的抗噪声能力和较强的鲁棒性。结论:改进的纤维束跟踪方法可以应用于脑结构网构建以及脑疾病的研究。
Abstract:
Abstract: Objective To improve the white matter fiber assignment by continuous tracking (FACT) algorithm for increasing the continuity and accuracy of fiber tracking. Methods The diffusion tensor magnetic resonance imaging data from Department of Medical Imaging of the Second Affiliated Hospital of Shandong First Medical University and the Human Connectome Project (http://www.neuroscienceblueprint.nih.gov/connectome/) were used to verify the validation of the improved algorithm. Firstly, the diffusion tensor magnetic resonance images were processed by median filters and Gaussian smoothing filters to eliminate the effects of noises on FACT algorithm, and a brain template was used to remove the effects of skull on follow-up tracking. Then the diffusion tensor and anisotropy index of each voxel were obtained by the least-mean-square error algorithm. Finally, starting with the initial voxel with an anisotropy index greater than the threshold, both tracking-editing technique and linear tracking based on diffusion entropy are used to accomplish fiber tracking. Results Compared with traditional FACT method, the improved algorithm realized a more continuous and accurate fiber tacking. In addition, the improved algorithm has a good anti-noise ability and a strong robustness. Conclusion The improved method can be used to construct the brain structural network and investigate brain diseases.

相似文献/References:

[1]王亚,李永欣,黄文华.人类脑计划的研究进展[J].中国医学物理学杂志,2016,33(2):109.[doi:10.3969/j.issn.1005-202X.2016.02.001]
 [J].Chinese Journal of Medical Physics,2016,33(10):109.[doi:10.3969/j.issn.1005-202X.2016.02.001]
[2]徐龙春,张敏风,张岗,等.虚拟数字脑软件平台的研究与开发[J].中国医学物理学杂志,2019,36(12):1434.[doi:DOI:10.3969/j.issn.1005-202X.2019.12.013]
 XU Longchun,ZHANG Minfeng,ZHANG Gang,et al.Research and development of virtual digital brain software package[J].Chinese Journal of Medical Physics,2019,36(10):1434.[doi:DOI:10.3969/j.issn.1005-202X.2019.12.013]

备注/Memo

备注/Memo:
【收稿日期】2020-07-15 【基金项目】山东省自然科学基金(ZR2018MH033, ZR2015HL095, ZR2014HM072);山东省医药卫生科技发展计划项目(2016WS0608);泰山医学院高层次课题培育计划项目(2018GCC13);山东第一医科大学省级大学生创新创业训练计划项目(S201910439020);山东第一医科大学(山东省医学科学院)学术提升计划 【作者简介】颜淑敏,主要从事脑功能成像和虚拟数字脑方面的研究,E-mail: 1206164889@qq.com 【通信作者】张光玉,副教授,主要从事医学图像处理、脑功能成像和虚拟数字脑方面的研究,E-mail: gyuzhn@163.com
更新日期/Last Update: 2020-10-29