Literature DB >> 30272573

Nuts and bolts of 4D-MRI for radiotherapy.

B Stemkens1, E S Paulson, R H N Tijssen.   

Abstract

Magnetic resonance imaging (MRI) is increasingly being used in the radiotherapy workflow because of its superior soft tissue contrast and high flexibility in contrast. In addition to anatomical and functional imaging, MRI can also be used to characterize the physiologically induced motion of both the tumor and organs-at-risk. Respiratory-correlated 4D-MRI has gained large interest as an alternative to 4D-CT for the characterization of respiratory motion throughout the thorax and abdomen. These 4D-MRI data sets consist of three spatial dimensions and the respiratory phase or amplitude over the fourth dimension (opposed to time-resolved 4D-MRI that represents time in the fourth dimension). Over the last 15 years numerous methods have been presented in literature. This review article provides a comprehensive overview of the various 4D-MRI techniques, and describes the differences in MRI data acquisition and 4D data set generation from a methodological point of view. The current status and future perspective of these techniques are highlighted, and the requirements for safe introduction into the clinic (e.g. method validation) are discussed.

Entities:  

Mesh:

Year:  2018        PMID: 30272573     DOI: 10.1088/1361-6560/aae56d

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  24 in total

1.  Future directions on the merge of quantitative imaging and artificial intelligence in radiation oncology.

Authors:  Kathrine Røe Redalen; Daniela Thorwarth
Journal:  Phys Imaging Radiat Oncol       Date:  2020-07-15

2.  Motion robust 4D-MRI sorting based on anatomic feature matching: A digital phantom simulation study.

Authors:  Zi Yang; Lei Ren; Fang-Fang Yin; Xiao Liang; Jing Cai
Journal:  Radiat Med Prot       Date:  2020-03-10

Review 3.  The future of MRI in radiation therapy: Challenges and opportunities for the MR community.

Authors:  Rosie J Goodburn; Marielle E P Philippens; Thierry L Lefebvre; Aly Khalifa; Tom Bruijnen; Joshua N Freedman; David E J Waddington; Eyesha Younus; Eric Aliotta; Gabriele Meliadò; Teo Stanescu; Wajiha Bano; Ali Fatemi-Ardekani; Andreas Wetscherek; Uwe Oelfke; Nico van den Berg; Ralph P Mason; Petra J van Houdt; James M Balter; Oliver J Gurney-Champion
Journal:  Magn Reson Med       Date:  2022-09-21       Impact factor: 3.737

4.  Real-time MRI motion estimation through an unsupervised k-space-driven deformable registration network (KS-RegNet).

Authors:  Hua-Chieh Shao; Tian Li; Michael J Dohopolski; Jing Wang; Jing Cai; Jun Tan; Kai Wang; You Zhang
Journal:  Phys Med Biol       Date:  2022-06-29       Impact factor: 4.174

5.  Technical note: Institutional solution of clinical cine MRI for tumor motion evaluation in radiotherapy.

Authors:  Taeho Kim; Yu Wu; Zhen Ji; H Michael Gach; Nels Knutson; Stacie Mackey; Matthew Schmidt
Journal:  J Appl Clin Med Phys       Date:  2022-05-26       Impact factor: 2.243

6.  Abdominal synthetic CT generation from MR Dixon images using a U-net trained with 'semi-synthetic' CT data.

Authors:  Lianli Liu; Adam Johansson; Yue Cao; Janell Dow; Theodore S Lawrence; James M Balter
Journal:  Phys Med Biol       Date:  2020-06-15       Impact factor: 3.609

7.  A fast volumetric 4D-MRI with sub-second frame rate for abdominal motion monitoring and characterization in MRI-guided radiotherapy.

Authors:  Jing Yuan; Oi Lei Wong; Yihang Zhou; Kin Yin Chueng; Siu Ki Yu
Journal:  Quant Imaging Med Surg       Date:  2019-07

8.  Slice-stacking T2-weighted MRI for fast determination of internal target volume for liver tumor.

Authors:  Silu Han; Xiao Liang; Tian Li; Fang-Fang Yin; Jing Cai
Journal:  Quant Imaging Med Surg       Date:  2021-01

Review 9.  A narrative review of MRI acquisition for MR-guided-radiotherapy in prostate cancer.

Authors:  Jing Yuan; Darren M C Poon; Gladys Lo; Oi Lei Wong; Kin Yin Cheung; Siu Ki Yu
Journal:  Quant Imaging Med Surg       Date:  2022-02

10.  Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance.

Authors:  Carri K Glide-Hurst; Eric S Paulson; Kiaran McGee; Neelam Tyagi; Yanle Hu; James Balter; John Bayouth
Journal:  Med Phys       Date:  2021-07       Impact factor: 4.071

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