Literature DB >> 27354136

Spatial Precision in Magnetic Resonance Imaging-Guided Radiation Therapy: The Role of Geometric Distortion.

Joseph Weygand1, Clifton David Fuller2, Geoffrey S Ibbott3, Abdallah S R Mohamed4, Yao Ding5, Jinzhong Yang3, Ken-Pin Hwang6, Jihong Wang3.   

Abstract

Because magnetic resonance imaging-guided radiation therapy (MRIgRT) offers exquisite soft tissue contrast and the ability to image tissues in arbitrary planes, the interest in this technology has increased dramatically in recent years. However, intrinsic geometric distortion stemming from both the system hardware and the magnetic properties of the patient affects MR images and compromises the spatial integrity of MRI-based radiation treatment planning, given that for real-time MRIgRT, precision within 2 mm is desired. In this article, we discuss the causes of geometric distortion, describe some well-known distortion correction algorithms, and review geometric distortion measurements from 12 studies, while taking into account relevant imaging parameters. Eleven of the studies reported phantom measurements quantifying system-dependent geometric distortion, while 2 studies reported simulation data quantifying magnetic susceptibility-induced geometric distortion. Of the 11 studies investigating system-dependent geometric distortion, 5 reported maximum measurements less than 2 mm. The simulation studies demonstrated that magnetic susceptibility-induced distortion is typically smaller than system-dependent distortion but still nonnegligible, with maximum distortion ranging from 2.1 to 2.6 mm at a field strength of 1.5 T. As expected, anatomic landmarks containing interfaces between air and soft tissue had the largest distortions. The evidence indicates that geometric distortion reduces the spatial integrity of MRI-based radiation treatment planning and likely diminishes the efficacy of MRIgRT. Better phantom measurement techniques and more effective distortion correction algorithms are needed to achieve the desired spatial precision.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 27354136     DOI: 10.1016/j.ijrobp.2016.02.059

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  50 in total

1.  MRI-guided radiotherapy for head and neck cancer: initial clinical experience.

Authors:  A M Chen; S Hsu; J Lamb; Y Yang; N Agazaryan; M L Steinberg; D A Low; M Cao
Journal:  Clin Transl Oncol       Date:  2017-06-13       Impact factor: 3.405

Review 2.  Review of strategies for MRI based reconstruction of endocavitary and interstitial applicators in brachytherapy of cervical cancer.

Authors:  José Richart; Vicente Carmona-Meseguer; Teresa García-Martínez; Antonio Herreros; Antonio Otal; Santiago Pellejero; Ana Tornero-López; José Pérez-Calatayud
Journal:  Rep Pract Oncol Radiother       Date:  2018-07-23

3.  Geometric distortion in magnetic resonance imaging systems assessed using an open-source plugin for scientific image analysis.

Authors:  Takahiro Aoyama; Hidetoshi Shimizu; Ikuo Shimizu; Atsushi Teramoto; Naoki Kaneda; Kazuhiko Nakamura; Masaru Nakamura; Takeshi Kodaira
Journal:  Radiol Phys Technol       Date:  2018-09-25

4.  Characterization of spatial distortion in a 0.35 T MRI-guided radiotherapy system.

Authors:  John S Ginn; Nzhde Agazaryan; Minsong Cao; Umar Baharom; Daniel A Low; Yingli Yang; Yu Gao; Peng Hu; Percy Lee; James M Lamb
Journal:  Phys Med Biol       Date:  2017-04-20       Impact factor: 3.609

5.  Large field of view distortion assessment in a low-field MR-linac.

Authors:  Siamak P Nejad-Davarani; Joshua P Kim; Dongsu Du; Carri Glide-Hurst
Journal:  Med Phys       Date:  2019-03-23       Impact factor: 4.071

Review 6.  Emerging role of MRI in radiation therapy.

Authors:  Hersh Chandarana; Hesheng Wang; R H N Tijssen; Indra J Das
Journal:  J Magn Reson Imaging       Date:  2018-09-08       Impact factor: 4.813

7.  A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.

Authors:  Jian Wu; Thomas R Mazur; Su Ruan; Chunfeng Lian; Nalini Daniel; Hilary Lashmett; Laura Ochoa; Imran Zoberi; Mark A Anastasio; H Michael Gach; Sasa Mutic; Maria Thomas; Hua Li
Journal:  Med Image Anal       Date:  2018-04-06       Impact factor: 8.545

8.  Anatomic and dosimetric changes in patients with head and neck cancer treated with an integrated MRI-tri-60Co teletherapy device.

Authors:  Govind Raghavan; Amar U Kishan; Minsong Cao; Allen M Chen
Journal:  Br J Radiol       Date:  2016-09-21       Impact factor: 3.039

9.  A modular phantom and software to characterize 3D geometric distortion in MRI.

Authors:  Jordan M Slagowski; Yao Ding; Manik Aima; Zhifei Wen; Clifton D Fuller; Caroline Chung; J Matthew Debnam; Ken-Pin Hwang; Mo Kadbi; Janio Szklaruk; Jihong Wang
Journal:  Phys Med Biol       Date:  2020-09-28       Impact factor: 3.609

10.  A pilot study of highly accelerated 3D MRI in the head and neck position verification for MR-guided radiotherapy.

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

北京卡尤迪生物科技股份有限公司 © 2022-2023.