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Matsubara, T., Torikai, H.S. and Leibnitz, K. (2014) A Nonlinear Model of FMRI BOLD Signal Including the Trend Component. Proceedings of the International Joint Conference on Neural Networks, 4 September 2014, Beijing, 2579-2586.
https://doi.org/10.1109/IJCNN.2014.6889646

has been cited by the following article:

• TITLE: Application of Sensitivity Encoding Reconstruction for MRI with BOLD Signal

  AUTHORS: Lianjun Zhang, Gang Liu

  KEYWORDS: BOLD Signal, Sensitivity Encoding, MRI, Reconstruction

  JOURNAL NAME: Journal of Computer and Communications, Vol.9 No.4, April 16, 2021

  ABSTRACT: The work of this paper analyzes the performance of Sensitivity Encoding (SENSE) through actual data sets and determines the problem of computational efficiency. It corrects the error of the detection signal through the calibration function of the percentage signal change, and uses the three-dimensional sensor image reconstruction technology to calibrate the sensitivity of the blood to the magnetic change, enhances the sensitivity of the magnetic susceptibility gradient, and reduces the scanning time of the MRI experiment. The actual data set handles the image resolution. The performance and experimental results of SENSE are analyzed through actual data sets.