基于人工智能的未破裂颅内动脉瘤形态学指标三维测量方法 A Three-Dimensional Measurement Method of Morphological Indicators of Unruptured Intracranial Aneurysm Based on Artificial Intelligence

基于人工智能的未破裂颅内动脉瘤形态学指标三维测量方法 A Three-Dimensional Measurement Method of Morphological Indicators of Unruptured Intracranial Aneurysm Based on Artificial Intelligence

未破裂颅内动脉瘤形态学分析被广泛用于动脉瘤破裂的风险评估和术前规划。三维视角较既往的二维视角更能精确体现动脉瘤的形态变化，但人工测量在三维视角下准确度较低且可重复性差，而人工智能在三维视角下的测量更有优势。但是，目前尚缺乏人工智能在三维视角下的动脉瘤形态测量方法。考虑到三维视角下的规范化测量对形态学参数的临床和科研运用具有重要意义，本文提出了一套三维视角下基于人工智能的未破裂颅内动脉瘤形态学指标测量方法，以期推动动脉瘤研究的同质化和临床诊疗的规范化发展。 Abstract: Morphological analysis of unruptured intracranial aneurysms...

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Bibliographic Details
Main Author: YANG Yi1, LIU Qingyuan1, LIU Weiqi2, WANG Shuo1
Format: Article
Language:zho
Published: Editorial Department of Chinese Journal of Stroke 2024-01-01
Series:Zhongguo cuzhong zazhi
Subjects:
颅内动脉瘤
形态学指标
人工智能
三维
intracranial aneurysm
morphological indicator
artificial intelligence
three-dimension
Online Access:http://www.chinastroke.org.cn/CN/article/openArticlePDF.jsp?id=3966

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