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Updated: Jul 9, 2025

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

对T1加权MRI扫描的 (半自动) 质量控制进行系统审查

Janine Hendriks¹, Henk-Jan Mutsaerts², Richard Joules³

¹Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VUmc, PK -1, De Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands. j.m.hendriks@amsterdamumc.nl.

|December 4, 2023

概括

磁共振成像 (MRI) 的自动化质量控制 (QC) 算法各不相同. 本综述强调了方法,特征和基准的差异,呼吁在MRI QC中进行标准化.

科学领域:

医疗成像医学成像
神经成像是一种神经成像.
放射学放射学是一门学科.

背景情况:

磁共振成像 (MRI) 中的工件会降低图像质量,影响临床和研究结果.
手动质量控制 (QC) 是耗时且主观的,需要自动化解决方案.
本系统性审查侧重于原始,结构性T1加权 (T1w) MRI数据集的半自动QC算法.

结论:

由于数据集特定的优化和基准差异,对算法性能进行直接比较是具有挑战性的.
标准化和比较研究对于推进MRI QC至关重要.
未来的努力应该针对数据集独立的测量和算法独立的绩效评估方法.

关键词:

深度学习是一种深度学习.机器学习是机器学习.质量控制质量控制基于规则的学习是基于规则的学习.结构性核磁共振成像 (MRI)系统性审查系统性审查

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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...