Literature DB >> 18560047

A study on the magnetic resonance imaging (MRI)-based radiation treatment planning of intracranial lesions.

T Stanescu1, H-S Jans, N Pervez, P Stavrev, B G Fallone.   

Abstract

The aim of this study is to develop a magnetic resonance imaging (MRI)-based treatment planning procedure for intracranial lesions. The method relies on (a) distortion correction of raw magnetic resonance (MR) images by using an adaptive thresholding and iterative technique, (b) autosegmentation of head structures relevant to dosimetric calculations (scalp, bone and brain) using an atlas-based software and (c) conversion of MR images into computed tomography (CT)-like images by assigning bulk CT values to organ contours and dose calculations performed in Eclipse (Philips Medical Systems). Standard CT + MRI-based and MRI-only plans were compared by means of isodose distributions, dose volume histograms and several dosimetric parameters. The plans were also ranked by using a tumor control probability (TCP)-based technique for heterogeneous irradiation, which is independent of radiobiological parameters. For our 3 T Intera MRI scanner (Philips Medical Systems), we determined that the total maximum image distortion corresponding to a typical brain study was about 4 mm. The CT + MRI and MRI-only plans were found to be in good agreement for all patients investigated. Following our clinical criteria, the TCP-based ranking tool shows no significant difference between the two types of plans. This indicates that the proposed MRI-based treatment planning procedure is suitable for the radiotherapy of intracranial lesions.

Entities:  

Mesh:

Year:  2008        PMID: 18560047     DOI: 10.1088/0031-9155/53/13/013

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  28 in total

1.  New concept on an integrated interior magnetic resonance imaging and medical linear accelerator system for radiation therapy.

Authors:  Xun Jia; Zhen Tian; Yan Xi; Steve B Jiang; Ge Wang
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-02

Review 2.  Magnetic resonance image guidance in external beam radiation therapy planning and delivery.

Authors:  Ilamurugu Arivarasan; Chandrasekaran Anuradha; Shanmuga Subramanian; Ayyalusamy Anantharaman; Velayudham Ramasubramanian
Journal:  Jpn J Radiol       Date:  2017-06-13       Impact factor: 2.374

3.  Multiatlas approach with local registration goodness weighting for MRI-based electron density mapping of head and neck anatomy.

Authors:  Reza Farjam; Neelam Tyagi; Harini Veeraraghavan; Aditya Apte; Kristen Zakian; Margie A Hunt; Joseph O Deasy
Journal:  Med Phys       Date:  2017-06-01       Impact factor: 4.071

4.  Pseudo CT Estimation from MRI Using Patch-based Random Forest.

Authors:  Xiaofeng Yang; Yang Lei; Hui-Kuo Shu; Peter Rossi; Hui Mao; Hyunsuk Shim; Walter J Curran; Tian Liu
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-02

5.  Development of a hybrid magnetic resonance/computed tomography-compatible phantom for magnetic resonance guided radiotherapy.

Authors:  Min-Joo Kim; Seu-Ran Lee; Kyu-Ho Song; Hyeon-Man Baek; Bo-Young Choe; Tae Suk Suh
Journal:  J Radiat Res       Date:  2020-03-23       Impact factor: 2.724

6.  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

7.  Technical Note: Characterization and correction of gradient nonlinearity induced distortion on a 1.0 T open bore MR-SIM.

Authors:  Ryan G Price; Mo Kadbi; Joshua Kim; James Balter; Indrin J Chetty; Carri K Glide-Hurst
Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

8.  MRI-based treatment planning with pseudo CT generated through atlas registration.

Authors:  Jinsoo Uh; Thomas E Merchant; Yimei Li; Xingyu Li; Chiaho Hua
Journal:  Med Phys       Date:  2014-05       Impact factor: 4.071

9.  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

10.  Distortion inherent to magnetic resonance imaging can lead to geometric miss in radiosurgery planning.

Authors:  Tyler M Seibert; Nathan S White; Gwe-Ya Kim; Vitali Moiseenko; Carrie R McDonald; Nikdokht Farid; Hauke Bartsch; Joshua Kuperman; Roshan Karunamuni; Deborah Marshall; Dominic Holland; Parag Sanghvi; Daniel R Simpson; Arno J Mundt; Anders M Dale; Jona A Hattangadi-Gluth
Journal:  Pract Radiat Oncol       Date:  2016-06-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.