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Improved cardiac arterial spin labelling in the mouse heart by optimisation of acquisition and analysis

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In this study, a time-efficient segmented k-space arterial spin labelling (ASL) sequence is implemented for the mouse heart, and data quality is improved using a data logger for additional gating and retrospective analysis... Perfusion maps are generated by pixel-wise comparison of T1 maps from slice-selective and global inversion recoveries... T1 was quantified using ECG-gated Look-Locker approach, with 4 lines of k-space acquired every heartbeat to speed up acquisition by approximately four times compared with previous approaches (eg. )... A data logger (CED) was used to record ECG, RF and respiration events and was programmed to gate on each ECG peak detected as well as to interpolate peaks missed by physiological monitoring software... Images with many lines or centre lines of k-space acquired during respiration were rejected... ASL data were acquired on a 9.4T Varian system with 35mm-long volume RF coil (Rapid) (TE=1.18ms, flip=5°, resolution=200μm, slice thickness=1.5mm) and image analysis was performed in Matlab... It was found that an average of 2 ECG peaks per inversion recovery were missed by the physiological monitoring software, compared to none using the data logger script... This manifests as blurring to the final images of the inversion recovery curve... Figure2 presents an example ASL data set... The mean perfusion in the myocardium is estimated to be 7.0±3.3ml/g/min, which is consistent with literature values... Anatomical image quality is not compromised using this segmented k-space method and T1 maps appear to have less respiration corruption... This study presents a time-efficient acquisition of cardiac ASL data in the mouse, with improved data quality using a data logger to eliminate missed ECG triggers and to introduce objective criteria for rejection of respiration-corrupted images.

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Percentage of k-space lines (for 128x128 matrix) which are acquired during respiration throughout inversion recovery.
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Figure 1: Percentage of k-space lines (for 128x128 matrix) which are acquired during respiration throughout inversion recovery.

Mentions: It was found that an average of 2 ECG peaks per inversion recovery were missed by the physiological monitoring software, compared to none using the data logger script. The percentage of k-space lines acquired during respiration for images in an inversion recovery is displayed in Figure1. The pattern of Figure1 is generated by the de-phasing of respiration and acquisition with changing respiration rate. This manifests as blurring to the final images of the inversion recovery curve.


Improved cardiac arterial spin labelling in the mouse heart by optimisation of acquisition and analysis
Percentage of k-space lines (for 128x128 matrix) which are acquired during respiration throughout inversion recovery.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3106453&req=5

Figure 1: Percentage of k-space lines (for 128x128 matrix) which are acquired during respiration throughout inversion recovery.
Mentions: It was found that an average of 2 ECG peaks per inversion recovery were missed by the physiological monitoring software, compared to none using the data logger script. The percentage of k-space lines acquired during respiration for images in an inversion recovery is displayed in Figure1. The pattern of Figure1 is generated by the de-phasing of respiration and acquisition with changing respiration rate. This manifests as blurring to the final images of the inversion recovery curve.

View Article: PubMed Central - HTML

AUTOMATICALLY GENERATED EXCERPT
Please rate it.

In this study, a time-efficient segmented k-space arterial spin labelling (ASL) sequence is implemented for the mouse heart, and data quality is improved using a data logger for additional gating and retrospective analysis... Perfusion maps are generated by pixel-wise comparison of T1 maps from slice-selective and global inversion recoveries... T1 was quantified using ECG-gated Look-Locker approach, with 4 lines of k-space acquired every heartbeat to speed up acquisition by approximately four times compared with previous approaches (eg. )... A data logger (CED) was used to record ECG, RF and respiration events and was programmed to gate on each ECG peak detected as well as to interpolate peaks missed by physiological monitoring software... Images with many lines or centre lines of k-space acquired during respiration were rejected... ASL data were acquired on a 9.4T Varian system with 35mm-long volume RF coil (Rapid) (TE=1.18ms, flip=5°, resolution=200μm, slice thickness=1.5mm) and image analysis was performed in Matlab... It was found that an average of 2 ECG peaks per inversion recovery were missed by the physiological monitoring software, compared to none using the data logger script... This manifests as blurring to the final images of the inversion recovery curve... Figure2 presents an example ASL data set... The mean perfusion in the myocardium is estimated to be 7.0±3.3ml/g/min, which is consistent with literature values... Anatomical image quality is not compromised using this segmented k-space method and T1 maps appear to have less respiration corruption... This study presents a time-efficient acquisition of cardiac ASL data in the mouse, with improved data quality using a data logger to eliminate missed ECG triggers and to introduce objective criteria for rejection of respiration-corrupted images.

No MeSH data available.


Related in: MedlinePlus