Literature DB >> 17544002

Magnetic resonance-based treatment planning for prostate intensity-modulated radiotherapy: creation of digitally reconstructed radiographs.

Lili Chen1, Thai-Binh Nguyen, Elan Jones, Zuoqun Chen, Wei Luo, Lu Wang, Robert A Price, Alan Pollack, C-M Charlie Ma.   

Abstract

PURPOSE: To develop a technique to create magnetic resonance (MR)-based digitally reconstructed radiographs (DRR) for initial patient setup for routine clinical applications of MR-based treatment planning for prostate intensity-modulated radiotherapy. METHODS AND MATERIALS: Twenty prostate cancer patients' computed tomography (CT) and MR images were used for the study. Computed tomography and MR images were fused. The pelvic bony structures, including femoral heads, pubic rami, ischium, and ischial tuberosity, that are relevant for routine clinical patient setup were manually contoured on axial MR images. The contoured bony structures were then assigned a bulk density of 2.0 g/cm(3). The MR-based DRRs were generated. The accuracy of the MR-based DDRs was quantitatively evaluated by comparing MR-based DRRs with CT-based DRRs for these patients. For each patient, eight measuring points on both coronal and sagittal DRRs were used for quantitative evaluation.
RESULTS: The maximum difference in the mean values of these measurement points was 1.3 +/- 1.6 mm, and the maximum difference in absolute positions was within 3 mm for the 20 patients investigated.
CONCLUSIONS: Magnetic resonance-based DRRs are comparable to CT-based DRRs for prostate intensity-modulated radiotherapy and can be used for patient treatment setup when MR-based treatment planning is applied clinically.

Entities:  

Mesh:

Year:  2007        PMID: 17544002     DOI: 10.1016/j.ijrobp.2007.02.033

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


  9 in total

1.  A female pelvic bone shape model for air/bone separation in support of synthetic CT generation for radiation therapy.

Authors:  Lianli Liu; Yue Cao; Jeffrey A Fessler; Shruti Jolly; James M Balter
Journal:  Phys Med Biol       Date:  2015-12-01       Impact factor: 3.609

2.  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

3.  A unifying probabilistic Bayesian approach to derive electron density from MRI for radiation therapy treatment planning.

Authors:  Madhu Sudhan Reddy Gudur; Wendy Hara; Quynh-Thu Le; Lei Wang; Lei Xing; Ruijiang Li
Journal:  Phys Med Biol       Date:  2014-10-16       Impact factor: 3.609

4.  Female pelvic synthetic CT generation based on joint intensity and shape analysis.

Authors:  Lianli Liu; Shruti Jolly; Yue Cao; Karen Vineberg; Jeffrey A Fessler; James M Balter
Journal:  Phys Med Biol       Date:  2017-03-17       Impact factor: 3.609

Review 5.  MRI-only treatment planning: benefits and challenges.

Authors:  Amir M Owrangi; Peter B Greer; Carri K Glide-Hurst
Journal:  Phys Med Biol       Date:  2018-02-26       Impact factor: 3.609

6.  Investigation of a method for generating synthetic CT models from MRI scans of the head and neck for radiation therapy.

Authors:  Shu-Hui Hsu; Yue Cao; Ke Huang; Mary Feng; James M Balter
Journal:  Phys Med Biol       Date:  2013-11-11       Impact factor: 3.609

Review 7.  A Review on Medical Image Registration as an Optimization Problem.

Authors:  Guoli Song; Jianda Han; Yiwen Zhao; Zheng Wang; Huibin Du
Journal:  Curr Med Imaging Rev       Date:  2017-08

8.  Comparison of bulk electron density and voxel-based electron density treatment planning.

Authors:  Aliaksandr Karotki; Katherine Mah; Gert Meijer; Michael Meltsner
Journal:  J Appl Clin Med Phys       Date:  2011-11-15       Impact factor: 2.102

9.  Systematisation of spatial uncertainties for comparison between a MR and a CT-based radiotherapy workflow for prostate treatments.

Authors:  Tufve Nyholm; Morgan Nyberg; Magnus G Karlsson; Mikael Karlsson
Journal:  Radiat Oncol       Date:  2009-11-17       Impact factor: 3.481

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.