Document Citation: Jiajie Mo 2022. AutoFCD . protocols.io https://protocols.io/view/autofcd-b5r7q59n
License: This is an open access document distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Created: March 01, 2022
Last Modified: March 01, 2022
Document Integer ID: 58911
Abstract
We construct an integrated platform that can accurately detect FCD and automatically establish trajectory planning for minimally invasive treatment.
Multicenter validation of automated detection and surgical trajectory planning for focal cortical dysplasia
Jiajie Mo1,2, Jianguo Zhang1,2, Wenhan Hu1,2, Lin Sang3, Zhong Zheng3, Wenjing Zhou4, Haixiang Wang4, Junming Zhu5, Chao Zhang1,2, Xiu Wang1,2, Kai Zhang1,2
1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
2Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
3Department of Neurosurgery, Beijing Fengtai Hospital, Beijing, China
4Epilepsy Center, Tsinghua University Yuquan Hospital, Beijing, China
5Epilepsy Center, Department of Neurosurgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
Cover figure
We construct an integrated platform that can accurately detect FCD and automatically establish trajectory planning for minimally invasive treatment.
2. Pre-processing th TWIST images;
3. Determine the coordinate of target point and write in 'config.txt';
4. Run 'main.ext'.