Literature DB >> 18783283

MRI-based treatment planning with electron density information mapped from CT images: a preliminary study.

C Wang1, M Chao, L Lee, L Xing.   

Abstract

Nowadays magnetic resonance imaging (MRI) has been profoundly used in radiotherapy (RT) planning to aid the contouring of targets and critical organs in brain and intracranial cases, which is attributable to its excellent soft tissue contrast and multi-planar imaging capability. However, the lack of electron density information in MRI, together with the image distortion issues, precludes its use as the sole image set for RT planning and dose calculation. The purpose of this preliminary study is to probe the feasibility and evaluate an MRI-based radiation dose calculation process by providing MR images the necessary electron density (ED) information from a patient's readily available diagnostic/staging computed tomography (CT) images using an image registration model. To evaluate the dosimetric accuracy of the proposed approach, three brain and three intracranial cases were selected retrospectively for this study. For each patient, the MR images were registered to the CT images, and the ED information was then mapped onto the MR images by in-house developed software generating a modified set of MR images. Another set of MR images with voxel values assigned with the density of water was also generated. The original intensity modulated radiation treatment (IMRT) plan was then applied to the two sets of MR images and the doses were calculated. The dose distributions from the MRI-based calculations were compared to that of the original CT-based calculation. In all cases, the MRI-based calculations with mapped ED yielded dose values very close (within 2%) to that of the CT-based calculations. The MRI-based calculations with voxel values assigned with water density indicated a dosimetric error of 3-5%, depending on the treatment site. The present approach offers a means of utilizing MR images for accurate dose calculation and affords a potential to eliminate the redundant simulation CT by planning a patient's treatment with only simulation MRI and any available diagnostic/staging CT data.

Entities:  

Mesh:

Year:  2008        PMID: 18783283     DOI: 10.1177/153303460800700501

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  6 in total

1.  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

2.  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

3.  Dosimetric effect of the intestinal gas of online adaptive stereotactic body radiotherapy on target and critical organs without online electron density correction for pancreatic cancer.

Authors:  Chen Su; Hiroyuki Okamoto; Shie Nishioka; Tatsuya Sakasai; Daisuke Fujiyama; Yuki Miura; Yuki Tsunoda; Junichi Kuwahara; Satoshi Nakamura; Kotaro Iijima; Takahito Chiba; Keita Kaga; Mihiro Takemori; Hiroki Nakayama; Shouichi Katsuta; Koji Inaba; Hiroshi Igaki; Yuko Nakayama; Jun Itami
Journal:  Br J Radiol       Date:  2021-02-05       Impact factor: 3.039

4.  Improving the clinical workflow of a MR-Linac by dosimetric evaluation of synthetic CT.

Authors:  Bin Tang; Min Liu; Bingjie Wang; Peng Diao; Jie Li; Xi Feng; Fan Wu; Xinghong Yao; Xiongfei Liao; Qing Hou; Lucia Clara Orlandini
Journal:  Front Oncol       Date:  2022-08-29       Impact factor: 5.738

5.  MRI-based treatment plan simulation and adaptation for ion radiotherapy using a classification-based approach.

Authors:  Christopher M Rank; Christoph Tremmel; Nora Hünemohr; Armin M Nagel; Oliver Jäkel; Steffen Greilich
Journal:  Radiat Oncol       Date:  2013-03-06       Impact factor: 3.481

6.  Feasibility and limitations of bulk density assignment in MRI for head and neck IMRT treatment planning.

Authors:  Alexander L Chin; Alexander Lin; Shibu Anamalayil; Boon-Keng Kevin Teo
Journal:  J Appl Clin Med Phys       Date:  2014-09-08       Impact factor: 2.102

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.