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Accurate preoperative path planning with coarse-to-refine segmentation for image guided deep brain stimulation

文献类型：期刊论文

作者Cai, Bin2,4; Xiong, Chi2,3,4; Sun, Zhiyong2; Liang, Pengpeng5; Wang, Kaifeng6; Guo, Yuhao1; Niu, Chaoshi3; Song, Bo2; Cheng, Erkang2; Luo, Xiongbiao7
刊名BIOMEDICAL SIGNAL PROCESSING AND CONTROL
出版日期2022-09-01
卷号78
ISSN号1746-8094
关键词Brain stimulation Path planning Segmentation
DOI10.1016/j.bspc.2022.103867
通讯作者Niu, Chaoshi(niuchaoshi@ustc.edu.cn) ; Song, Bo(songbo@iim.ac.cn) ; Cheng, Erkang(ekcheng@iim.ac.cn)
英文摘要Accurate preoperative path planning plays an essential role in a neurosurgical procedure of deep brain stimulation, leading to a successful procedure with significant surgical outcomes. Conventional preoperative path planning is time-consuming and uncertain, depending highly on the knowledge and experience of the clinician who has to manually plan the electrode-implant path. This work presents a new preoperative path planning strategy for neurostimulation to automatically and accurately find the optimal electrode-implant trajectory. Specifically, a coarse-to-refine neural network model is proposed to accurately segment anatomical brain structures such as the subthalamic nucleus, while the path planning is formulated as an optimization task that minimizes the surgical risk on the implantation trajectory through the segmented brain structures, as well as ensures the puncture path at the safest distance to targets of interest in the brain. We evaluate our method on retrospective neurostimulation data and compare it to the puncture path generated by experienced surgeons, with the experimental results showing that our method provides surgeons with automatic and accurate electrode implant trajectory comparable or even better than manual planning of fellow surgeons.
WOS关键词CONVOLUTIONAL NETWORKS ; SUBTHALAMIC NUCLEUS ; PARKINSONS-DISEASE ; SURGERY ; TRAJECTORIES
资助项目KRDP of Anhui Province, China[201904a05020086] ; CAS, China[GJTD-2018-15] ; University Synergy Innovation Program of Anhui Province, China[GXXT-2021-030]
WOS研究方向Engineering
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000814201600001
资助机构KRDP of Anhui Province, China ; CAS, China ; University Synergy Innovation Program of Anhui Province, China
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/129598]  
专题中国科学院合肥物质科学研究院
通讯作者Niu, Chaoshi; Song, Bo; Cheng, Erkang
作者单位1.Anhui Univ, Inst Phys Sci & Informat Technol, Hefei, Peoples R China
2.Chinese Acad Sci, Inst Intelligent Machines, HFIPS, Hefei, Peoples R China
3.Univ Sci & Technol China, Affiliated Hosp USTC 1, Div Life Sci & Med, Hefei, Peoples R China
4.Univ Sci & Technol China, Hefei, Peoples R China
5.Zhengzhou Univ, Sch Informat Engn, Zhengzhou, Peoples R China
6.Peking Univ Peoples Hosp, Dept Spinal Surg, Beijing, Peoples R China
7.Xiamen Univ, Dept Comp Sci, Xiamen, Fujian, Peoples R China
推荐引用方式
GB/T 7714		 Cai, Bin,Xiong, Chi,Sun, Zhiyong,et al. Accurate preoperative path planning with coarse-to-refine segmentation for image guided deep brain stimulation[J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL,2022,78.
APA Cai, Bin.,Xiong, Chi.,Sun, Zhiyong.,Liang, Pengpeng.,Wang, Kaifeng.,...&Luo, Xiongbiao.(2022).Accurate preoperative path planning with coarse-to-refine segmentation for image guided deep brain stimulation.BIOMEDICAL SIGNAL PROCESSING AND CONTROL,78.
MLA Cai, Bin,et al."Accurate preoperative path planning with coarse-to-refine segmentation for image guided deep brain stimulation".BIOMEDICAL SIGNAL PROCESSING AND CONTROL 78(2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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