Automation of Pattern Recognition Analysis of Dynamic Contrast-Enhanced MRI Data to Characterize Intra-Tumoral Vascular Heterogeneity

PURPOSE: To automate dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data analysis by unsupervised pattern recognition (PR) to enable spatial mapping of intra-tumoral vascular heterogeneity. METHODS: Three steps were automated: (i) Determination of contrast agent arrival time at tumor...

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Bibliografske podrobnosti
izdano v:Magn Reson Med
Main Authors: Han, SoHyun, Stoyanova, Radka, Lee, Hansol, Carlin, Sean D., Koutcher, Jason A., Cho, HyungJoon, Ackerstaff, Ellen
Format: Artigo
Jezik:Inglês
Izdano: 2017
Teme:
Article
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5775918/
https://ncbi.nlm.nih.gov/pubmed/28727185
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.26822
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