TY - GEN
T1 - Fast motion imaging using reduced field of view partial fourier MRI
AU - Agarwal, Harsh K.
AU - Abd-Elmoniem, Khaled Z.
AU - Prince, Jerry L.
PY - 2007
Y1 - 2007
N2 - Fast MR imaging techniques often exploit the redundancy present in an underlying MR image time series to compensate for k-space undersampling. When imaging motion using techniques like HARP, DENSE, and phase contrast (PC), it is the phase in static regions that is constant and therefore redundant. In this paper, we present a technique that first estimates the phase in the static portion of an undersampled MR image time series and then uses a partial Fourier reconstruction technique to combine phase in the static portion and under-sampled data to reconstruct the full image time series. The technique is illustrated using a computational phantom under-going simulated cardiac motion and imaged using the HARP protocol. Results demonstrate a gradual degradation of accuracy with loss of data due to undersampling, indicating that a 25% speedup in imaging time is possible for an image time series in which 50% of the pixels correspond to the object that do not move over time.
AB - Fast MR imaging techniques often exploit the redundancy present in an underlying MR image time series to compensate for k-space undersampling. When imaging motion using techniques like HARP, DENSE, and phase contrast (PC), it is the phase in static regions that is constant and therefore redundant. In this paper, we present a technique that first estimates the phase in the static portion of an undersampled MR image time series and then uses a partial Fourier reconstruction technique to combine phase in the static portion and under-sampled data to reconstruct the full image time series. The technique is illustrated using a computational phantom under-going simulated cardiac motion and imaged using the HARP protocol. Results demonstrate a gradual degradation of accuracy with loss of data due to undersampling, indicating that a 25% speedup in imaging time is possible for an image time series in which 50% of the pixels correspond to the object that do not move over time.
KW - HARP
KW - MRI
KW - Partial fourier MR image reconstruction
KW - rFOV
UR - http://www.scopus.com/inward/record.url?scp=36348988454&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=36348988454&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2007.356928
DO - 10.1109/ISBI.2007.356928
M3 - Conference contribution
AN - SCOPUS:36348988454
SN - 1424406722
SN - 9781424406722
T3 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
SP - 620
EP - 623
BT - 2007 4th IEEE International Symposium on Biomedical Imaging
T2 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
Y2 - 12 April 2007 through 15 April 2007
ER -