.png){kind=icon}
返回
Automatic selection of arterial input function using cluster analysis
.png){kind=icon}
OA
AI
DOI：10.1002/mrm.20759.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Quantification of cerebral blood flow (CBF) using dynamic susceptibility contrast MRI requires determination of the arterial input function (AIF) representing the delivery of intravascular tracer to tissue. This is typically accomplished manually by inspection of concentration time curves (CTCs) in regions containing the ICA, VA, and MCA. This is, however, a time consuming and operator dependent procedure. We suggest a completely automatic procedure for establishing the AIF based on a cluster analysis algorithm. In 20 normal subjects CBF maps calculated in 2 slices by the automatic procedure were compared to maps obtained with AIFs selected individually by 7 experienced operators. The average manual to automatic CBF ratio was 1.03 +/- 0.15 in the lower slice and 1.05 +/- 0.12 in the upper slice, demonstrating excellent agreement between the manual and automatic method. The algorithm provides means for objectively assessing AIF candidates in local AIF search algorithms designed to reduce bias due to delay and dispersion. Given the reproducibility and speed (10 s) of the automatic method, we speculate that it will greatly improve the accuracy of perfusion images and facilitate their use in clinical diagnosis and decision-making, particularly in acute stroke but also in cerebrovascular disease in general.
Keyword:
dynamic susceptibility contrast MRI
cluster analysis
arterial input function
cerebral blood flow
deconvolution
期刊
IF:
3
论文数:
1.2W
被引数:
3.1W
机构
暂无机构信息
引用论文
Evolving paradigms in imaging the ischemic penumbra with multimodal magnetic resonance imaging.png)
STROKE
OAAI
STROKEIF8.9
OAAI分享收藏Quantification of perfusion using bolus tracking magnetic resonance imaging in stroke - Assumptions, limitations, and potential implications for clinical useSTROKE
STROKEIF8.9
PREAI
分享收藏Defining a local arterial input function for perfusion MRI using independent component analysis使用独立成分分析定义灌注MRI的局部动脉输入函数OAAI
OAAI分享收藏Predicting tissue outcome in acute human cerebral ischemia using combined diffusion- and perfusion-weighted MR imagingSTROKEOAAI
STROKEIF8.9
OAAI分享收藏Correcting partial volume artifacts of the arterial input function in quantitative cerebral perfusion MRI校正定量脑灌注MRI中动脉输入功能的部分体积伪影
PREAI
分享收藏
查看更多内容