Junzhou Chen1,2, Pei Han1,2, Fei Han3, Zhehao Hu1,2, Nan Wang1,2, Wensha Yang4, Anthony G Christodoulou1,2, Debiao Li1,2, and Zhaoyang Fan1,2,5
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 4Department of Radiation Oncology, University of Southern California, Los Angeles, CA, United States, 5Department of Radiology, University of Southern California, Los Angeles, CA, United States
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Siemens Medical Solutions USA, Inc., Los Angeles, CA, United States, 4Department of Radiation Oncology, University of Southern California, Los Angeles, CA, United States, 5Department of Radiology, University of Southern California, Los Angeles, CA, United States
We present a MR platform for radiation therapy planning in the abdomen using MR Multitasking, which is able to generate volumetric, multi-contrast, respiratory motion-resolved images under free-breathing with less than a 10 min scan time.
Fig.1 A) The pulse sequence diagram of the MR technique,
with the red arrows being the navigator line locations. B) Illustration of the
Cartesian spiral-in trajectory with Cartesian readout in Kx and spirals in
Ky-Kz (PE-Partition) plane. C) Illustration of three-way tensor factorization
to generate a multi-dimensional image 𝒜.
Figure 3[GIF]. In-vivo MT multi-dimensional image from two volunteers. A
user can view any contrasts, any motion states and any slice available in this
image.
