Hemodynamics segregation using expectation-maximization algorithm initialized by hierarchical clustering on MR dynamic images from patients with unilateral internal carotid artery stenosis: World Congress on Medical Physics and Biomedical Engineering: Diagnostic Imaging

Yu-Te Wu, Chia-Feng Lu, Shang-Ran Huang, Feng-Chi Chang, Wan-Yuo Guo

Research output: Contribution to conferenceOtherpeer-review

Abstract

Expectation-maximization (EM) algorithm initialized by hierarchical clustering (HC) was applied on dynamic susceptibility contrast (DSC) MR images from the patients with unilateral internal carotid artery stenosis to segment out different brain tissue clusters depending on their own specific blood supply patterns. In comparison with the segmented normal and abnormal gray matter components demonstrated that difference in mean transit time (dMTT) and difference in time to peak (dTTP) can robustly reveal the hemodynamic change from pre-stenting to post-stenting state (p-values are 0.027 and 0.004, respectively). Additionally, change of local deficit before and after the placement of stent can be further investigated by the ratio of numbers of normal to abnormal gray-matter pixels within the territories of anterior cerebral artery (ACA), middle cerebral artery (MCA) and posterior cerebral artery (PCA) (p-values are 0.375, 0.037 and 0.020, respectively) in assistance to diagnosis and therapeutic assessment. © 2009 Springer-Verlag.
Original languageEnglish
Pages936-939
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes

Keywords

  • Anterior cerebral artery
  • Before and after
  • Blood supply
  • Brain tissue
  • Cerebral arteries
  • Dynamic images
  • Expectation-maximization algorithms
  • Gray matter
  • Hemodynamic changes
  • Hierarchical Clustering
  • Internal carotid artery
  • Mean transit time
  • Middle cerebral artery
  • MR images
  • ON dynamics
  • P-values
  • Stenting
  • Time to peak
  • Biomedical engineering
  • Blind source separation
  • Clustering algorithms
  • Dynamics
  • Hemodynamics
  • Hydrodynamics
  • Image segmentation
  • Magnetic susceptibility
  • Maximum principle
  • Optimization
  • Physics
  • Medical imaging

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