TY - GEN
T1 - Linear convolution model of fetal circulation for hemodynamic responses to maternal hyperoxia using in utero functional MRI
AU - You, Wonsang
AU - Xu, Feng
AU - Limperopoulos, Catherine
N1 - Funding Information:
This neuroimaging research was supported by NHLBI R01 (HL116585-01, C. Limperopoulos) Antecedents of Impaired Brain Development in Fetuses with Heart Disease.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/23
Y1 - 2018/5/23
N2 - Functional MRI studies have started the hemodynamic responses of the placenta and fetal brain using maternal hyperoxia. While most studies have focused on analyzing the changes in magnitude of fMRI signals, few studies have analyzed the latency and duration of responses to hyperoxia. This paper proposes a linear convolution model of fetal circulation where a chain of responses to maternal hyperoxia are produced in the placenta and fetal brain. Specifically, an impulse response to hyperoxia was modeled as the hemodynamic response function (HRF) which consists of multiple gamma functions. Both time-to-peak and full width at half maximum of HRF were estimated using simulated annealing (SA). A Monte Carlo simulation was carried out to evaluate the performance of the SA-based method for estimating both parameters. Finally, we provided an example of estimating HRFs from fMRI time series of the placenta and fetal brain acquired during maternal hyperoxia in vivo.
AB - Functional MRI studies have started the hemodynamic responses of the placenta and fetal brain using maternal hyperoxia. While most studies have focused on analyzing the changes in magnitude of fMRI signals, few studies have analyzed the latency and duration of responses to hyperoxia. This paper proposes a linear convolution model of fetal circulation where a chain of responses to maternal hyperoxia are produced in the placenta and fetal brain. Specifically, an impulse response to hyperoxia was modeled as the hemodynamic response function (HRF) which consists of multiple gamma functions. Both time-to-peak and full width at half maximum of HRF were estimated using simulated annealing (SA). A Monte Carlo simulation was carried out to evaluate the performance of the SA-based method for estimating both parameters. Finally, we provided an example of estimating HRFs from fMRI time series of the placenta and fetal brain acquired during maternal hyperoxia in vivo.
KW - FMRI
KW - Fetal brain
KW - Hemodynamic response function
KW - Hyperoxia
KW - Linear convolution model
KW - Placenta
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U2 - 10.1109/ISBI.2018.8363806
DO - 10.1109/ISBI.2018.8363806
M3 - Conference contribution
C2 - 29899816
AN - SCOPUS:85048117498
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1284
EP - 1287
BT - 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
PB - IEEE Computer Society
T2 - 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
Y2 - 4 April 2018 through 7 April 2018
ER -