Lakshminarayan V. Chinta - Fields Institute - University of Toronto

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Pre-processing <strong>of</strong> bolus time passage bolus time series vessels in FOV labeled MIP 2D spatial median filtering t
Transit time estimation • The signal intensity curves from bolus passage are normalized and integrated over time. • We model the bolus passage as a linear dynamical process.
Page 1 and 2: Quantitative Perfusion Estimates fr
Page 3 and 4: Neurovascular coupling Brain Tissue
Page 5 and 6: The Challenge How do you quantitati
Page 7 and 8: Resolution: ~ 1μm lateral (x, y) ~
Page 9 and 10: 2D bolus time series • Single 2D
Page 11: Transit time estimation from bolus
Page 15 and 16: • Impulse response of the transfe
Page 17 and 18: Identification of closed paths and
Page 19 and 20: Registration of bolus plane to the
Page 21 and 22: Perfusion estimation - closed paths
Page 23 and 24: The problem in multiple paths • W
Page 25 and 26: TT estimation in individual segment
Page 27 and 28: CBF estimation in individual segmen
Page 29 and 30: Perfusion estimation mL/g/min 3.237
Page 31 and 32: Heterogeneity in perfusion across r
Page 33 and 34: Conclusion • Results show evidenc

Lakshminarayan V. Chinta - Fields Institute - University of Toronto

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