SU-E-I-65: Estimation of Tagging Efficiency in Pseudo-Continuous Arterial Spin Labeling (pCASL) MRI

Authors

  • Jen M,

    1. Chang Gung University, Taoyuan City, Taiwan
    2. Taipei Medical University - Shuang Ho Hospital, Ministry of Health and Welf, New Taipei City, Taiwan
    3. GE Healthcare, Taiwan
    4. GE Healthcare China, Beijing, China
    5. UT MD Anderson Cancer Center, Houston, TX
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  • Yan F,

    1. Chang Gung University, Taoyuan City, Taiwan
    2. Taipei Medical University - Shuang Ho Hospital, Ministry of Health and Welf, New Taipei City, Taiwan
    3. GE Healthcare, Taiwan
    4. GE Healthcare China, Beijing, China
    5. UT MD Anderson Cancer Center, Houston, TX
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  • Tseng Y,

    1. Chang Gung University, Taoyuan City, Taiwan
    2. Taipei Medical University - Shuang Ho Hospital, Ministry of Health and Welf, New Taipei City, Taiwan
    3. GE Healthcare, Taiwan
    4. GE Healthcare China, Beijing, China
    5. UT MD Anderson Cancer Center, Houston, TX
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  • Lin C,

    1. Chang Gung University, Taoyuan City, Taiwan
    2. Taipei Medical University - Shuang Ho Hospital, Ministry of Health and Welf, New Taipei City, Taiwan
    3. GE Healthcare, Taiwan
    4. GE Healthcare China, Beijing, China
    5. UT MD Anderson Cancer Center, Houston, TX
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  • Chen C,

    1. Chang Gung University, Taoyuan City, Taiwan
    2. Taipei Medical University - Shuang Ho Hospital, Ministry of Health and Welf, New Taipei City, Taiwan
    3. GE Healthcare, Taiwan
    4. GE Healthcare China, Beijing, China
    5. UT MD Anderson Cancer Center, Houston, TX
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  • Liu H

    1. Chang Gung University, Taoyuan City, Taiwan
    2. Taipei Medical University - Shuang Ho Hospital, Ministry of Health and Welf, New Taipei City, Taiwan
    3. GE Healthcare, Taiwan
    4. GE Healthcare China, Beijing, China
    5. UT MD Anderson Cancer Center, Houston, TX
    Search for more papers by this author

Abstract

Purpose:

pCASL was recommended as a potent approach for absolute cerebral blood flow (CBF) quantification in clinical practice. However, uncertainties of tagging efficiency in pCASL remain an issue. This study aimed to estimate tagging efficiency by using short quantitative pulsed ASL scan (FAIR-QUIPSSII) and compare resultant CBF values with those calibrated by using 2D Phase Contrast (PC) MRI.

Methods:

Fourteen normal volunteers participated in this study. All images, including whole brain (WB) pCASL, WB FAIR-QUIPSSII and single-slice 2D PC, were collected on a 3T clinical MRI scanner with a 8-channel head coil. DeltaM map was calculated by averaging the subtraction of tag/control pairs in pCASL and FAIR-QUIPSSII images and used for CBF calculation. Tagging efficiency was then calculated by the ratio of mean gray matter CBF obtained from pCASL and FAIR-QUIPSSII. For comparison, tagging efficiency was also estimated with 2D PC, a previously established method, by contrast WB CBF in pCASL and 2D PC. Feasibility of estimation from a short FAIR-QUIPSSII scan was evaluated by number of averages required for obtaining a stable deltaM value. Setting deltaM calculated by maximum number of averaging (50 pairs) as reference, stable results were defined within ±10% variation.

Results:

Tagging efficiencies obtained by 2D PC MRI (0.732±0.092) were significantly lower than which obtained by FAIRQUIPPSSII (0.846±0.097) (P<0.05). Feasibility results revealed that four pairs of images in FAIR-QUIPPSSII scan were sufficient to obtain a robust calibration of less than 10% differences from using 50 pairs.

Conclusion:

This study found that reliable estimation of tagging efficiency could be obtained by a few pairs of FAIR-QUIPSSII images, which suggested that calibration scan in a short duration (within 30s) was feasible. Considering recent reports concerning variability of PC MRI-based calibration, this study proposed an effective alternative for CBF quantification with pCASL.

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