Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data

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• 关键词：functional MRI ; Hemodynamic Response Function ; Activation detection
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9349
• 期：1
• 页码：142-149
• 全文大小：1,415 KB
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• 作者单位：Priya Aggarwal (17) (18)
  Anubha Gupta (17) (18)
  Ajay Garg (17) (18)
  
  17. Department of Electronics and Communication Engineering, IIIT-Delhi, Delhi, India
  18. Department of Neuroradiology, Neurosciences Centre, AIIMS, Delhi, India
  
• 丛书名：Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
• ISBN：978-3-319-24553-9
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

This paper proposes a method of voxel-wise hemodynamic response function (HRF) estimation using sparsity and smoothing constraints on the HRF. The slow varying baseline drift at the voxel time-series is initially estimated via empirical mode decomposition (EMD). This estimation is refined by two-stage optimization that estimates HRF and slow-varying noise iteratively. In addition, this paper proposes a novel method of finding voxel activation via projection of voxel time-series on signal subspace constructed using the prior estimates of HRF. The performance of the proposed method is demonstrated on both synthetic and real fMRI data.