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Updated: Jul 16, 2025

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

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实时动态数据驱动可变形注册用于图像引导的神经外科手术:计算方面.

Nikos Chrisochoides¹, Andrey Fedorov^1,2, Yixun Liu¹

¹Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA.

|September 21, 2023

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这项研究回顾了动态数据驱动可变形非刚性注册 (D4NRR),这是一种调整手术前大脑图像以在手术期间进行手术内大脑转移的方法. 它强调了15年来MRI注册的计算进步.

科学领域:

神经外科神经外科
医疗成像医学成像
计算解剖学的计算解剖学

背景情况:

神经外科手术程序依赖于手术前的医学图像,以精确地定位瘤和关键结构.
在手术期间脑组织的变形,即手术期间脑组织的变形,会在手术前计划和实际手术领域之间产生差异.
虽然手术内成像的轨迹发生了变化,但这并不能取代手术前数据的质量.

结论:

15年来,D4NRR的计算方法发生了显著的进化,改善了脑MRI注册.
对计算方面的进一步研究对于推进D4NRR在神经外科手术中的应用至关重要.
准确的图像注册对于提高脑瘤切除的精度和安全性至关重要.

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