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

doi:10.1016/j.bspc.2022.103867

	Accurate preoperative path planning with coarse-to-refine segmentation for image guided deep brain stimulation
	Cai, Bin 6,7; Xiong, Chi 1,6,7; Sun, Zhiyong 6; Liang, Pengpeng 2; Wang, Kaifeng 3; Guo, Yuhao 5; Niu, Chaoshi 1; Song, Bo 6; Cheng, Erkang 6; Luo, Xiongbiao 4
刊名	BIOMEDICAL SIGNAL PROCESSING AND CONTROL
	2022-09-01
卷号	78
关键词	Brain stimulation Path planning Segmentation
ISSN号	1746-8094
DOI	10.1016/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.
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关键词	CONVOLUTIONAL NETWORKS ; SUBTHALAMIC NUCLEUS ; PARKINSONS-DISEASE ; SURGERY ; TRAJECTORIES
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
内容类型	期刊论文
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.Univ Sci & Technol China, Affiliated Hosp USTC 1, Div Life Sci & Med, Hefei, Peoples R China 2.Zhengzhou Univ, Sch Informat Engn, Zhengzhou, Peoples R China 3.Peking Univ Peoples Hosp, Dept Spinal Surg, Beijing, Peoples R China 4.Xiamen Univ, Dept Comp Sci, Xiamen, Fujian, Peoples R China 5.Anhui Univ, Inst Phys Sci & Informat Technol, Hefei, Peoples R China 6.Chinese Acad Sci, Inst Intelligent Machines, HFIPS, Hefei, Peoples R China 7.Univ Sci & Technol China, Hefei, 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).