相关实验视频

Updated: Aug 13, 2026

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

基于人工智能的分段软件在MRI-负焦的侧面化价值

Kyung-Il Park^1,2, Hyoshin Son³, Sungeun Hwang⁴

¹Department of Neurology, Seoul National University College of Medicine, Seoul, Korea.

Journal of epilepsy research

|December 25, 2024

概括

人工智能工具可以通过测量皮层厚度来帮助横向非损伤前叶 (FLE). 这种人工智能方法对于在患有较长疾病持续时间的患者中识别的横向性尤为有用.

科学领域:

神经成像是一种神经成像.
人工智能的人工智能
的研究研究.

背景情况:

通过磁共振成像 (MRI) 精确检测病的病变对于诊断和手术规划至关重要.
最初针对痴呆症开发的自动化人工智能 (AI) 工具可以测量皮质厚度和大脑体积.

研究的目的:

确定基于AI的皮质厚度和大脑体积测量是否可以在出现正常的MRI患者中侧向.
调查人工智能在识别非损伤病例中的横向性的实用性.

主要方法:

来自428名患有焦点 (非损伤性) 患者的3特斯拉MRI分析.
利用人工智能细分/体积测量软件来测量皮质厚度和海马体积.
计算了横向性指数 (LI),以评估半球之间的差异.

主要成果:

额叶 (FLE) 在左侧和右侧之间显示了额叶皮层厚度LI的显著差异 (p=0.01).
在FLE中具有可识别的横向化患者的持续时间较长 (12.7年) 与无法识别的病例相比 (8.3年;p=0.03).
面向的中前皮质是区分FLE横向性的关键区域;其他类型的 (TLE,PLE,OLE) 没有显著的横向差异.

结论:

基于人工智能的大脑细分软件有助于确定非损伤前叶的横向性.
人工智能在横向化中的有效性在疾病持续时间较长的情况下更为明显.

关键词:

人工智能的人工智能是人工智能.不对称的不对称性额叶发作在前额叶发作.磁力共振成像阴性.

更多相关视频

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

相关概念视频

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).