Literature DB >> 23830190

Treatment planning of intracranial targets on MRI derived substitute CT data.

Joakim H Jonsson1, Adam Johansson, Karin Söderström, Thomas Asklund, Tufve Nyholm.   

Abstract

BACKGROUND: The use of magnetic resonance imaging (MRI) as a complement to computed tomography (CT) in the target definition procedure for radiotherapy is increasing. To eliminate systematic uncertainties due to image registration, a workflow based entirely on MRI may be preferable. In the present pilot study, we investigate dose calculation accuracy for automatically generated substitute CT (s-CT) images of the head based on MRI. We also produce digitally reconstructed radiographs (DRRs) from s-CT data to evaluate the feasibility of patient positioning based on MR images. METHODS AND MATERIALS: Five patients were included in the study. The dose calculation was performed on CT, s-CT, s-CT data without inhomogeneity correction and bulk density assigned MRI images. Evaluation of the results was performed using point dose and dose volume histogram (DVH) comparisons, and gamma index evaluation.
RESULTS: The results demonstrate that the s-CT images improve the dose calculation accuracy compared to the method of non-inhomogeneity corrected dose calculations (mean improvement 2.0% points) and that it performs almost identically to the method of bulk density assignment. The s-CT based DRRs appear to be adequate for patient positioning of intra-cranial targets, although further investigation is needed on this subject.
CONCLUSION: The s-CT method is very fast and yields data that can be used for treatment planning without sacrificing accuracy.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Dose calculation; Magnetic resonance; Radiotherapy; Substitute CT; Treatment planning

Mesh:

Year:  2013        PMID: 23830190     DOI: 10.1016/j.radonc.2013.04.028

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  15 in total

Review 1.  Individualized radiotherapy by combining high-end irradiation and magnetic resonance imaging.

Authors:  Stephanie E Combs; Fridtjof Nüsslin; Jan J Wilkens
Journal:  Strahlenther Onkol       Date:  2016-02-06       Impact factor: 3.621

2.  Magnetic resonance imaging-based pseudo computed tomography using anatomic signature and joint dictionary learning.

Authors:  Yang Lei; Hui-Kuo Shu; Sibo Tian; Jiwoong Jason Jeong; Tian Liu; Hyunsuk Shim; Hui Mao; Tonghe Wang; Ashesh B Jani; Walter J Curran; Xiaofeng Yang
Journal:  J Med Imaging (Bellingham)       Date:  2018-08-24

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.  Robust Estimation of Electron Density From Anatomic Magnetic Resonance Imaging of the Brain Using a Unifying Multi-Atlas Approach.

Authors:  Shangjie Ren; Wendy Hara; Lei Wang; Mark K Buyyounouski; Quynh-Thu Le; Lei Xing; Ruijiang Li
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-12-14       Impact factor: 7.038

6.  Effect of age-dependent bone electron density on the calculated dose distribution from kilovoltage and megavoltage photon and electron radiotherapy in paediatric MRI-only treatment planning.

Authors:  B Zeinali-Rafsanjani; R Faghihi; M A Mosleh-Shirazi; M Saeedi-Moghadam; R Jalli; S Sina
Journal:  Br J Radiol       Date:  2017-11-09       Impact factor: 3.039

7.  Quantitative characterizations of ultrashort echo (UTE) images for supporting air-bone separation in the head.

Authors:  Shu-Hui Hsu; Yue Cao; Theodore S Lawrence; Christina Tsien; Mary Feng; David M Grodzki; James M Balter
Journal:  Phys Med Biol       Date:  2015-03-17       Impact factor: 3.609

8.  Accuracy of UTE-MRI-based patient setup for brain cancer radiation therapy.

Authors:  Yingli Yang; Minsong Cao; Tania Kaprealian; Ke Sheng; Yu Gao; Fei Han; Caitlin Gomez; Anand Santhanam; Stephen Tenn; Nzhde Agazaryan; Daniel A Low; Peng Hu
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

9.  Assessing the Dosimetric Accuracy of Magnetic Resonance-Generated Synthetic CT Images for Focal Brain VMAT Radiation Therapy.

Authors:  Eric Paradis; Yue Cao; Theodore S Lawrence; Christina Tsien; Mary Feng; Karen Vineberg; James M Balter
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-09-04       Impact factor: 7.038

10.  Evaluation of Dosimetric Robustness of Carbon Ion Boost Therapy for Anal Carcinoma.

Authors:  Kim Melanie Kraus; Asja Pfaffenberger; Oliver Jäkel; Jürgen Debus; Florian Sterzing
Journal:  Int J Part Ther       Date:  2017-03-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.