应用多模态脑MR图像进行脑介入手术计划

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Yi Zhang , Zhao He , Shijie Hong , Fulang Qi , Qingfang Sun , Guang-Zhong Yang , Yuan Feng
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引用次数: 0

摘要

介入MRI (i-MRI)已被用于提高脑介入的准确性和安全性。手术导航系统在手术前和手术过程中提供指导是至关重要的,特别是对于机器人辅助的神经外科手术。在这里,我们提出了一个脑介入手术计划(SPBI)软件系统。SPBI提供了一系列功能,包括脑组织分割、血管分割、纤维跟踪和介入路径规划,以提高脑介入的安全性和精度。来自健康志愿者的多模态脑磁共振图像被用来演示这些功能。代码和示例数据是开源的,并且是公开的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surgical planning for brain intervention (SPBI) using multimodal brain MR images
Interventional MRI (i-MRI) has been used for improving the accuracy and safety of brain intervention. The surgical navigation system that provides guidance before and during the intervention is crucial for the operation, especially for robot-assisted neurosurgery. Here we present a Surgical Planning for Brain Intervention (SPBI) software system. SPBI provides a series of functionalities to improve the safety and precision of brain intervention, including brain tissue segmentation, vessel segmentation, fiber tracking, and intervention path planning. Multimodal brain MR images from healthy volunteers were used for demonstration of the functionalities. Codes and sample data are open-sourced and publicly available.
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来源期刊
SoftwareX
SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.50
自引率
2.90%
发文量
184
审稿时长
9 weeks
期刊介绍: SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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