Abdominal MR Multitasking for radiotherapy treatment planning: A motion‐resolved and multicontrast 3D imaging approach

Author:

Chen Junzhou123ORCID,Christodoulou Anthony G.34ORCID,Han Pei34ORCID,Xiao Jiayu1,Han Fei5,Hu Zhehao123,Wang Nan4,Han Hui4,Ling Diane C.2,Chang Eric L.2,Feng Mary6,Scholey Jessica E.6,Cui Sophia5ORCID,Li Debiao34,Yang Wensha6,Fan Zhaoyang127ORCID

Affiliation:

1. Department of Radiology University of Southern California Los Angeles California USA

2. Department of Radiation Oncology University of Southern California Los Angeles California USA

3. Department of Bioengineering University of California Los Angeles California USA

4. Biomedical Imaging Research Institute Cedars Sinai Medical Center Los Angeles California USA

5. Siemens Medical Solutions USA, Inc. Malvern Pennsylvania USA

6. Department of Radiation Oncology University of California San Francisco California USA

7. Department of Biomedical Engineering University of Southern California Los Angeles California USA

Abstract

AbstractPurposeRadiotherapy treatment planning (RTP) using MR has been used increasingly for the abdominal site. Multiple contrast weightings and motion‐resolved imaging are desired for accurate delineation of the target and various organs‐at‐risk and patient‐tailored planning. Current MR protocols achieve these through multiple scans with distinct contrast and variable respiratory motion management strategies and acquisition parameters, leading to a complex and inaccurate planning process. This study presents a standalone MR Multitasking (MT)–based technique to produce volumetric, motion‐resolved, multicontrast images for abdominal radiotherapy treatment planning.MethodsThe MT technique resolves motion and provides a wide range of contrast weightings by repeating a magnetization‐prepared (saturation recovery and T2 preparations) spoiled gradient‐echo readout series and adopting the MT image reconstruction framework. The performance of the technique was assessed through digital phantom simulations and in vivo studies of both healthy volunteers and patients with liver tumors.ResultsIn the digital phantom study, the MT technique presented structural details and motion in excellent agreement with the digital ground truth. The in vivo studies showed that the motion range was highly correlated (R2 = 0.82) between MT and 2D cine imaging. MT allowed for a flexible contrast‐weighting selection for better visualization. Initial clinical testing with interobserver analysis demonstrated acceptable target delineation quality (Dice coefficient = 0.85 ± 0.05, Hausdorff distance = 3.3 ± 0.72 mm).ConclusionThe developed MT‐based, abdomen‐dedicated technique is capable of providing motion‐resolved, multicontrast volumetric images in a single scan, which may facilitate abdominal radiotherapy treatment planning.

Funder

National Institute of Biomedical Imaging and Bioengineering

Publisher

Wiley

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