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Abstract #1419

Accelerating 3D Head-and-Neck MR Imaging Using Compressed Sensing with Structure-Guided Total Variation for MR-Guided Multi-Fractional Radiotherapy

Yihang Zhou1, Jing Yuan1, Oi Lei Wong1, Winky Wing Ki Fung2, George Chiu2, Kin Yin Cheung1, and Siu Ki Yu1

1Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong, 2Department of Radiotherapy, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong

MR image-guided radiotherapy (IGRT) holds potentials on outcome improvement in the head-and-neck (HN) radiotherapy. Patients receiving MR-guided multi-fractional HN IGRT are immobilized in each treatment fraction and set up to the exact position as of the treatment planning scan. Inter-fractional MR images are supposed to show highly correlated anatomy structure and edge information which can be incorporated into compressed sensing (CS) based MR reconstruction to shorten the scan time while preserve image quality in multiple fractions. In this study, we investigated the feasibility of accelerating high spatial resolution 3D MRI using CS with structure-guided total variation for multi-fractional HN radiotherapy.

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