Literature DB >> 29254773

Systematic Review of Synthetic Computed Tomography Generation Methodologies for Use in Magnetic Resonance Imaging-Only Radiation Therapy.

Emily Johnstone1, Jonathan J Wyatt2, Ann M Henry3, Susan C Short3, David Sebag-Montefiore3, Louise Murray3, Charles G Kelly2, Hazel M McCallum2, Richard Speight4.   

Abstract

Magnetic resonance imaging (MRI) offers superior soft-tissue contrast as compared with computed tomography (CT), which is conventionally used for radiation therapy treatment planning (RTP) and patient positioning verification, resulting in improved target definition. The 2 modalities are co-registered for RTP; however, this introduces a systematic error. Implementing an MRI-only radiation therapy workflow would be advantageous because this error would be eliminated, the patient pathway simplified, and patient dose reduced. Unlike CT, in MRI there is no direct relationship between signal intensity and electron density; however, various methodologies for MRI-only RTP have been reported. A systematic review of these methods was undertaken. The PRISMA guidelines were followed. Embase and Medline databases were searched (1996 to March, 2017) for studies that generated synthetic CT scans (sCT)s for MRI-only radiation therapy. Sixty-one articles met the inclusion criteria. This review showed that MRI-only RTP techniques could be grouped into 3 categories: (1) bulk density override; (2) atlas-based; and (3) voxel-based techniques, which all produce an sCT scan from MR images. Bulk density override techniques either used a single homogeneous or multiple tissue override. The former produced large dosimetric errors (>2%) in some cases and the latter frequently required manual bone contouring. Atlas-based techniques used both single and multiple atlases and included methods incorporating pattern recognition techniques. Clinically acceptable sCTs were reported, but atypical anatomy led to erroneous results in some cases. Voxel-based techniques included methods using routine and specialized MRI sequences, namely ultra-short echo time imaging. High-quality sCTs were produced; however, use of multiple sequences led to long scanning times increasing the chances of patient movement. Using nonroutine sequences would currently be problematic in most radiation therapy centers. Atlas-based and voxel-based techniques were found to be the most clinically useful methods, with some studies reporting dosimetric differences of <1% between planning on the sCT and CT and <1-mm deviations when using sCTs for positional verification.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29254773     DOI: 10.1016/j.ijrobp.2017.08.043

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


  65 in total

1.  Characterization of hardware-related spatial distortions for IR-PETRA pulse sequence using a brain specific phantom.

Authors:  Sima Ahmadian; Iraj Jabbari; Seyed Mehdi Bagherimofidi; Hamidreza Saligheh Rad
Journal:  MAGMA       Date:  2020-07-06       Impact factor: 2.310

2.  Comparison of treatment position with mask immobilization and standard diagnostic setup in intracranial MRI radiotherapy simulation.

Authors:  Vesna Mekiš; Valerija Žager Marciuš; Dominika Rogina; Laura Dolenc; Nejc Mekiš
Journal:  Strahlenther Onkol       Date:  2021-04-21       Impact factor: 3.621

Review 3.  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

4.  Dose evaluation of MRI-based synthetic CT generated using a machine learning method for prostate cancer radiotherapy.

Authors:  Ghazal Shafai-Erfani; Tonghe Wang; Yang Lei; Sibo Tian; Pretesh Patel; Ashesh B Jani; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Med Dosim       Date:  2019-02-01       Impact factor: 1.482

5.  MRI-based pseudo CT synthesis using anatomical signature and alternating random forest with iterative refinement model.

Authors:  Yang Lei; Jiwoong Jason Jeong; Tonghe Wang; Hui-Kuo Shu; Pretesh Patel; Sibo Tian; Tian Liu; Hyunsuk Shim; Hui Mao; Ashesh B Jani; Walter J Curran; Xiaofeng Yang
Journal:  J Med Imaging (Bellingham)       Date:  2018-12-05

6.  Guidance on the use of MRI for treatment planning in radiotherapy clinical trials.

Authors:  Robert I Johnstone; Teresa Guerrero-Urbano; Andriana Michaelidou; Tony Greener; Elizabeth Miles; David Eaton; Christopher Thomas
Journal:  Br J Radiol       Date:  2019-12-05       Impact factor: 3.039

7.  MRI-based synthetic CT generation using semantic random forest with iterative refinement.

Authors:  Yang Lei; Joseph Harms; Tonghe Wang; Sibo Tian; Jun Zhou; Hui-Kuo Shu; Jim Zhong; Hui Mao; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Phys Med Biol       Date:  2019-04-05       Impact factor: 3.609

8.  Patch-based generative adversarial neural network models for head and neck MR-only planning.

Authors:  Peter Klages; Ilyes Benslimane; Sadegh Riyahi; Jue Jiang; Margie Hunt; Joseph O Deasy; Harini Veeraraghavan; Neelam Tyagi
Journal:  Med Phys       Date:  2019-12-25       Impact factor: 4.071

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.  Feasibility of synthetic computed tomography generated with an adversarial network for multi-sequence magnetic resonance-based brain radiotherapy.

Authors:  Yuhei Koike; Yuichi Akino; Iori Sumida; Hiroya Shiomi; Hirokazu Mizuno; Masashi Yagi; Fumiaki Isohashi; Yuji Seo; Osamu Suzuki; Kazuhiko Ogawa
Journal:  J Radiat Res       Date:  2020-01-23       Impact factor: 2.724

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