Meeting Banner
Abstract #0617

Improving Respiratory Phase-resolved 3D Body Imaging Using Iterative Motion Correction and Average (MoCoAve)

Xiaoming Bi1, Jianing Pang2, Wensha Yang2, Matthias Fenchel3, Zixin Deng2, Yuhua Chen4, Richard Tuli2, Debiao Li2, Gerhard Laub1, and Zhaoyang Fan2

1Siemens Healthcare, Los Angeles, CA, United States, 2Cedars-Sinai Medical Center, Los Angeles, CA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany, 4University of Pennsylvania, Philadelphia, PA, United States

4D (respiratory phase-resolved 3D) MRI has been increasingly used for the planning of radiotherapy and minimally invasive surgery. Recently developed self-gating methods showed great potential in 4D MRI by providing high imaging efficiency and isotropic spatial resolution. However, images of individual phases may suffer from decreased SNR and increased streaking artifact since only a subset of data were used for reconstruction. A motion correction and average (MoCoAve) framework was developed in this work to address such limitations. Preliminary results from patients showed that the proposed method can significantly improve SNR and image quality without compromising motion information.

This abstract and the presentation materials are available to members only; a login is required.

Join Here