A Three-Dimensional Measurement Method of Morphological Indicators of Unruptured Intracranial Aneurysm Based on Artificial Intelligence

doi:10.3969/j.issn.1673-5765.2024.01.015

Abstract

Abstract: Morphological analysis of unruptured intracranial aneurysms is widely used in risk assessment and surgical design. Compared with the manual measurement in the two-dimensional perspective, the three-dimensional perspective can reflect the morphology changes of aneurysms more accurately. But the manual measurement in the three-dimensional perspective has poor accuracy and repeatability. Therefore, the measurement of artificial intelligence in the three-dimensional perspective has greater advantages than that of manual measurement. However, the method of aneurysm morphological measurement in the three-dimensional perspective based on artificial intelligence has not been proposed. The standardized measurement in the three-dimensional perspective is of great significance to the clinical and research application of morphological parameters. In this paper, a three-dimensional measurement method for unruptured intracranial aneurysms based on artificial intelligence is presented, in order to promote the homogenization of aneurysm research and the standardization of clinical diagnosis and treatment.

Key words: Intracranial aneurysm; Morphological indicator; Artificial intelligence; Three-dimension

摘要： 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。

关键词: 颅内动脉瘤; 形态学指标; 人工智能; 三维

CLC Number:

YANG Yi, LIU Qingyuan, LIU Weiqi, WANG Shuo. A Three-Dimensional Measurement Method of Morphological Indicators of Unruptured Intracranial Aneurysm Based on Artificial Intelligence[J]. Chinese Journal of Stroke, 2024, 19(1): 112-119.

杨溢, 刘清源, 刘伟奇, 王硕. 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[J]. 中国卒中杂志, 2024, 19(1): 112-119.

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URL: https://www.chinastroke.org.cn/EN/10.3969/j.issn.1673-5765.2024.01.015

https://www.chinastroke.org.cn/EN/Y2024/V19/I1/112

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