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Abstract #4067

Development and robust analysis of 3D fat-suppressed T2 MRI for head and neck radiotherapy treatment planning

Travis Salzillo1, Alex Dresner2, Brigid McDonald1, Ashley Way1, Sara Ahmed 1, Lauren Andring1, Kelsey Corrigan1, Gohar Manzar1, Alison Yoder1, Abdallah Mohamed1, Chelsea Pinnix1, Jason Stafford3, Jihong Wang4, and Clifton Fuller1
1Radiation Oncology, MD Anderson Cancer Center, Houston, TX, United States, 2Philips Healthcare, Best, Netherlands, 3Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 4Radiation Physics, MD Anderson Cancer Center, Houston, TX, United States

Synopsis

In order to improve head and neck radiotherapy treatment planning, a series of 3D fat-suppressed T2-weighted sequences were developed with varying pulse sequence parameters. One non-fat-suppressed and five fat-suppressed sequences were acquired on five patients, and on each image, four structures were segmented by six radiation oncology physicians (observers). Robust and comprehensive analysis was performed to assess qualitative and quantitative image quality metrics. This included geometric distortion, SNR and CNR measurements, structure conspicuity, interobserver segmentation variability, and qualitative image quality rankings. The results of these were used to determine the optimal fat-suppressed sequence for head and neck radiation treatment planning.

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